sanchezcarlosjr/clase1-clasificacion.ipynb

## clase1-clasificacion.ipynb
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        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/gist/sanchezcarlosjr/91c8b8588e339381ae2b75fa868ee7e8/clase1-clasificacion.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# MeIA - Sentiment analysis in the TASS corpus (Spanish) using traditional machine learning\n",
        "\n",
        "Carlos Eduardo Sánchez Torres\n",
        "\n",
        "\n",
        "## Professors\n",
        "\n",
        "Dra. Helena M. Gomez Adorno, UNAM\n",
        "\n",
        "Miguel Angel Alvarez, CIMAT\n",
        "\n",
        "Victor Giovanni Morales, BUAP\n"
      ],
      "metadata": {
        "id": "aI9ugCiwVfsZ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Utils"
      ],
      "metadata": {
        "id": "Y-PlT8XffXSc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "! apt-get install tree\n",
        "! pip install nltk\n",
        "import nltk\n",
        "nltk.download('punkt')\n",
        "nltk.download('stopwords')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
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        "id": "kkej8ivefZWI",
        "outputId": "1333de23-0078-4aff-abbf-2623f2765139"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "The following NEW packages will be installed:\n",
            "  tree\n",
            "0 upgraded, 1 newly installed, 0 to remove and 13 not upgraded.\n",
            "Need to get 43.0 kB of archives.\n",
            "After this operation, 115 kB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu focal/universe amd64 tree amd64 1.8.0-1 [43.0 kB]\n",
            "Fetched 43.0 kB in 0s (807 kB/s)\n",
            "Selecting previously unselected package tree.\n",
            "(Reading database ... 123069 files and directories currently installed.)\n",
            "Preparing to unpack .../tree_1.8.0-1_amd64.deb ...\n",
            "Unpacking tree (1.8.0-1) ...\n",
            "Setting up tree (1.8.0-1) ...\n",
            "Processing triggers for man-db (2.9.1-1) ...\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (3.8.1)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk) (8.1.3)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from nltk) (1.2.0)\n",
            "Requirement already satisfied: regex>=2021.8.3 in /usr/local/lib/python3.10/dist-packages (from nltk) (2022.10.31)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from nltk) (4.65.0)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt.zip.\n",
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "\n",
        "def explore(df):\n",
        "  count_vect = CountVectorizer()\n",
        "  matrizBOW = count_vect.fit_transform(df)\n",
        "  print(\"Shape \", matrizBOW.shape)\n",
        "  print(\"Feature names\", count_vect.get_feature_names_out())\n",
        "  print(\"Vocabulary\", count_vect.vocabulary_)"
      ],
      "metadata": {
        "id": "bYmp_TddfWr-"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Data preparation"
      ],
      "metadata": {
        "id": "glzzUwNqYxzH"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "¿Qué es ``requests``?\n",
        "\n",
        "Librería para realizar peticiones HTTP."
      ],
      "metadata": {
        "id": "xD4IA9Wym-ul"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import requests\n",
        "\n",
        "URL = 'http://tass.sepln.org/2020/?wpdmpro=task-1-train-and-dev-sets&wpdmdl=191&refresh=64928777e80e61687324535'\n",
        "NAME = 'dataset.zip'\n",
        "open(NAME, 'wb').write(requests.get(URL).content)\n",
        "\n",
        "import zipfile\n",
        "with zipfile.ZipFile(NAME, 'r') as zip_ref:\n",
        "    zip_ref.extractall('Datasets')"
      ],
      "metadata": {
        "id": "ozgxg_TJY51x"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "! tree Datasets"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YNs25IAEZPIh",
        "outputId": "803af380-9dbe-480c-a355-f3a1fe07de26"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[01;34mDatasets\u001b[00m\n",
            "├── \u001b[01;34mdev\u001b[00m\n",
            "│   ├── cr.tsv\n",
            "│   ├── dev.tsv\n",
            "│   ├── es.tsv\n",
            "│   ├── mx.tsv\n",
            "│   ├── pe.tsv\n",
            "│   └── uy.tsv\n",
            "└── \u001b[01;34mtrain\u001b[00m\n",
            "    ├── cr.tsv\n",
            "    ├── es.tsv\n",
            "    ├── mx.tsv\n",
            "    ├── pe.tsv\n",
            "    ├── train.tsv\n",
            "    └── uy.tsv\n",
            "\n",
            "2 directories, 12 files\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "! cat Datasets/dev/*.tsv >> Datasets/dev/dev.tsv\n",
        "! cat Datasets/train/*.tsv >> Datasets/train/train.tsv\n",
        "! tree Datasets"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Usx1_309aJwp",
        "outputId": "f8fdfaf0-0922-4b79-e1c4-ec226c8abde4"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "cat: Datasets/dev/dev.tsv: input file is output file\n",
            "cat: Datasets/train/train.tsv: input file is output file\n",
            "\u001b[01;34mDatasets\u001b[00m\n",
            "├── \u001b[01;34mdev\u001b[00m\n",
            "│   ├── cr.tsv\n",
            "│   ├── dev.tsv\n",
            "│   ├── es.tsv\n",
            "│   ├── mx.tsv\n",
            "│   ├── pe.tsv\n",
            "│   └── uy.tsv\n",
            "└── \u001b[01;34mtrain\u001b[00m\n",
            "    ├── cr.tsv\n",
            "    ├── es.tsv\n",
            "    ├── mx.tsv\n",
            "    ├── pe.tsv\n",
            "    ├── train.tsv\n",
            "    └── uy.tsv\n",
            "\n",
            "2 directories, 12 files\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas\n",
        "dev=pandas.read_csv('Datasets/dev/dev.tsv',sep='\\t', names=['id', 'text', 'label'], header=None)\n",
        "# N Negative 0\n",
        "# NEU Neutral 1\n",
        "# P Positive 2\n",
        "mappings = {'N': 0, 'NEU': 1, 'P': 2}\n",
        "dev['label'] = dev['label'].map(mappings)\n",
        "dev.drop(columns=['id'])\n",
        "train=pandas.read_csv('Datasets/train/train.tsv',sep='\\t', names=['id', 'text', 'label'], header=None)\n",
        "train['label'] = train['label'].map(mappings)\n",
        "train = train.drop(columns=['id'])"
      ],
      "metadata": {
        "id": "c5iSROTNal13"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Data exploration"
      ],
      "metadata": {
        "id": "nslWFDsdY_cu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "from collections import Counter\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "\n",
        "def mostFrequent(corpus):\n",
        "    text = ' '.join(corpus)\n",
        "    tokens= nltk.word_tokenize(text)\n",
        "    cnt = Counter(tokens).most_common(20)\n",
        "    return cnt\n",
        "\n",
        "\n",
        "def explore(corpus):\n",
        "  print(\"Most frequent \", mostFrequent(corpus))\n",
        "  count_vect = CountVectorizer()\n",
        "  matrizBOW = count_vect.fit_transform(corpus)\n",
        "  print(\"DF Shape \", matrizBOW.shape)\n",
        "  print(\"DF Feature names \", count_vect.get_feature_names_out())\n",
        "  tfidf_vect = TfidfVectorizer()\n",
        "  matriz_tfidf=tfidf_vect.fit_transform(corpus)\n",
        "  print(\"TF IDF Shape \", matriz_tfidf.shape)\n",
        "  print(\"DF Vocabulary \", tfidf_vect.vocabulary_)"
      ],
      "metadata": {
        "id": "f2rPlCJWeXQc"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train"
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          "output_type": "execute_result",
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              "                                                   text  label\n",
              "0     En definitiva! Me quedé sin campo para ir a Ta...      0\n",
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              "4797  ¿Qué tipo de proyecto de diseño es tu preferid...      1\n",
              "4798  Que bueno ver a personas que te alegran Aunque...      2\n",
              "4799  @migueldobrich gracias queridísimo ! Buenísimo...      2\n",
              "4800  @gabouy pero antes si era asi es parte de nues...      0\n",
              "4801  @abbu25 compre \"Hasta Borinquen\" por internet ...      0\n",
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              "      <th>4801</th>\n",
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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "explore(train['text'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a2q_gjgehTIK",
        "outputId": "28015114-8157-49a3-a538-6c5568f7ab22"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Most frequent  [('@', 3171), (',', 2642), ('que', 2458), ('de', 2456), ('y', 1845), ('a', 1578), ('.', 1512), ('la', 1454), ('no', 1441), ('!', 1352), ('me', 1238), ('el', 1198), ('en', 1163), ('es', 956), ('un', 772), ('lo', 706), ('mi', 658), ('por', 609), ('se', 600), ('con', 590)]\n",
            "DF Shape  (4802, 14881)\n",
            "DF Feature names  ['00' '000' '00am' ... 'útil' 'útiles' '꾹이생일ㅊㅋ']\n",
            "TF IDF Shape  (4802, 14881)\n",
            "DF Vocabulary  {'en': 4810, 'definitiva': 3846, 'me': 8814, 'quedé': 11443, 'sin': 12725, 'campo': 2222, 'para': 10170, 'ir': 7190, 'tacares': 13224, 'ya': 14689, 'que': 11415, 'había': 6444, 'mentalizado': 8912, 'hasta': 6525, 'quería': 11483, 'percebe': 10501, 'dianalaa32': 4165, 'es': 5067, 'una': 13969, 'escena': 5084, 'de': 3754, 'uno': 14005, 'los': 8271, 'documentales': 4379, 'más': 9421, 'respetados': 11899, 'sobre': 12805, 'naturaleza': 9510, 'planet': 10762, 'earth': 4528, 'la': 7748, 'bbc': 1653, 'dudo': 4478, 'sea': 12433, 'montado': 9214, 'qué': 11540, 'feo': 5636, 'tener': 13384, 'terminar': 13430, 'con': 3051, 'alguien': 783, 'cuando': 3518, 'las': 7842, 'dos': 4429, 'personas': 10576, 'aún': 1523, 'se': 12431, 'aman': 874, 'pero': 10557, 'el': 4627, 'entorno': 4970, 'no': 9657, 'favorable': 5567, 'oído': 10045, 'mcdonalds': 8805, 'mejor': 8861, 'mannequin': 8560, 'challenge': 2550, 'he': 6549, 'visto': 14421, 'ahora': 627, 'ha': 6396, 'venido': 14217, 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'tigreshooligan': 13512, 'jueguen': 7544, 'imparables': 6892, 'resentidos': 11882, 'resaltes': 11880, 'superficial': 13133, 'crítico': 3502, 'marielabrenesv': 8656, 'primero': 11130, 'stranger': 13024, 'things': 13475, 'además': 462, 'episodios': 5026, 'empiezo': 4795, 'adoptó': 489, 'gata': 6070, 'botada': 1893, 'escriben': 5101, 'escribo': 5110, 'permite': 10551, 'prudente': 11263, 'treledo': 13773, 'info': 7009, 'hoario': 6662, 'podía': 10868, 'solicitar': 12849, 'orden': 9986, 'acostumbrarse': 409, 'poner': 10907, 'lugar': 8324, 'diegodelagos': 4208, 'fb': 5576, 'portó': 10966, 'tl': 13549, 'relación': 11816, 'himnos': 6629, 'cago': 2116, 'asco': 1308, 'spotify': 12976, 'compu': 3037, 'ustedes': 14048, 'basa': 1619, 'vistos': 14422, 'segunda': 12480, 'fuller': 5928, 'house': 6721, 'duró': 4506, 'secreto': 12447, 'trajo': 13724, 'ganar': 6027, 'ricooo': 11998, 'cólera': 3636, 'despertaron': 4103, 'subwaycr': 13064, 'listos': 8094, 'donaciones': 4396, 'preferiría': 11036, 'discutir': 4299, 'umpalumpa': 13967, 'cristiano': 3459, 'conservador': 3171, 'derecha': 3969, 'llevo': 8184, 'doritos': 4416, 'frescos': 5863, 'pan': 10127, 'marianacruz04': 8641, 'vivihbena': 14442, 'rubias': 12158, 'olímpica': 9935, 'olvidar': 9922, 'sombrilla': 12875, 'cofal': 2873, 'zepol': 14792, 'necesitan': 9541, 'influenciadores': 7006, 'pichazo': 10631, 'podría': 10861, 'quitan': 11524, 'frenillos': 5857, 'feos': 5637, 'danileivacr': 3688, 'buenísimo': 1998, 'yoga': 14733, 'dance': 3666, 'aeróbico': 517, 'das': 3723, 'cambian': 2183, 'otras': 10026, 'mantienen': 8574, 'dias': 4174, 'libres': 8020, 'vídeo': 14553, 'pingüino': 10699, 'esté': 5342, 'díganme': 4525, 'lloraron': 8195, 'ocho': 9828, 'camisas': 2208, 'undécimo': 13980, 'lograr': 8233, 'sobrevivir': 12812, 'trimestrales': 13792, 'khamoreno': 7683, 'hahahaha': 6482, 'ojo': 9892, 'desperté': 4104, 'tratando': 13755, 'ste': 13009, 'decepcionarse': 3789, 'dcblancoq': 3748, 'colera': 2895, 'pecadito': 10370, 'afectada': 519, 'inundaciones': 7151, 'porqué': 10952, 'terminaba': 13426, 'contrato': 3253, 'solito': 12859, 'pavas': 10342, 'irnos': 7201, 'stalkeo': 12998, 'instinto': 7081, 'asesino': 1318, 'activa': 415, 'david': 3730, 'cena': 2498, 'quiebra': 11490, 'vaso': 14140, 'solita': 12858, 'pondré': 10903, 'vídeos': 14554, 'paranormales': 10184, 'audífonos': 1415, 'marioredondo': 8677, 'ingenieractc': 7020, 'funcionaria': 5937, 'pública': 11403, 'pensamos': 10468, 'auditorio': 1414, 'marzo': 8712, 'crush': 3486, 'novia': 9743, 'enseñar': 4934, 'bolas': 1833, 'política': 10896, 'desnudos': 4084, 'estricta': 5308, 'campeón': 2221, 'pase': 10273, 'magnuscarlsen': 8448, 'sergeykaryakin': 12576, 'pierda': 10661, 'carlsenkarjakin': 2348, 'alejandro__ge': 736, 'pulsearla': 11334, 'intentado': 7108, 'par': 10169, 'foto': 5811, 'recuerdos': 11718, 'importantes': 6902, 'vividos': 14440, 'borrables': 1879, 'mellamosara': 8877, 'bichoclarke': 1746, 'gabmmd': 5980, 'cuero': 3548, 'papel': 10158, 'tijera': 13515, 'semanas': 12505, 'subieron': 13046, 'grupopandora': 6307, 'acompañarnos': 383, 'edad': 4555, 'crecido': 3416, 'atte': 1406, 'ale': 717, 'h_e_y': 6395, 'sabría': 12239, 'decirte': 3808, 'generalmente': 6091, 'nublado': 9760, '3pm': 119, 'peatonal': 10368, 'tendré': 13379, 'jugarme': 7559, 'auto': 1430, 'den': 3930, 'secret': 12445, 'passcode': 10291, 'beliebers': 1695, 'compren': 3019, 'entradas': 4974, 'sobran': 12804, 'ponen': 10906, 'venta': 14220, 'aiuda': 649, 'ticotraveleando': 13489, 'ingrato': 7026, 'melangelesvc': 8871, 'tamales': 13250, 'pierna': 10669, 'fresquitos': 5866, 'queque': 11467, 'marymatamoros': 8711, 'recital': 11667, 'psc': 11280, 'psoe': 11283, 'podemos': 10842, 'izquierda': 7270, 'unida': 13989, 'distanciados': 4327, 'disfruta': 4306, 'verano': 14234, 'varios': 14135, 'compitas': 2980, 'alguna': 785, 'tuanis': 13843, 'quieran': 11496, 'recomendar': 11681, 'gentequenocoge': 6100, 'clinton': 2827, 'ganó': 6039, 'voto': 14511, 'colegio': 2894, 'electorado': 4652, 'presidente': 11104, 'electo': 4651, 'm_elinna': 8389, 'captado': 2293, 'indirecta': 6984, 'vacilon': 14072, 'avatar': 1451, 'volviendo': 14490, 'aburridas': 315, 'hablan': 6420, 'decirme': 3807, 'animales': 1031, 'lindos': 8076, 'divino': 4355, 'cumple': 3580, 'malamujer': 8467, 'pudiera': 11301, 'darte': 3717, 'acompañarte': 384, 'hermana': 6580, 'siquiera': 12751, 'respeta': 11898, 'mandó': 8541, 'lavarme': 7879, 'culo': 3570, 'río': 12205, 'lagarto': 7779, 'hugozap': 6762, 'quizá': 11535, 'profesionales': 11192, 'remunerados': 11834, 'principalmente': 11143, 'femenino': 5629, 'quienes': 11493, 'pasa': 10239, 'burodecreditomx': 2015, 'curiosidad': 3600, 'intenté': 7117, 'bancos': 1586, 'distintos': 4332, 'declinado': 3815, 'reporte': 11870, 'verde': 14246, 'score': 12424, 'koalasoy': 7714, 'teja': 13332, 'cabrón': 2079, 'programa': 11201, 'agradable': 575, 'doble': 4372, 'deprisa': 3965, 'ambulancia': 903, 'soporte': 12912, 'avanzado': 1448, 'nudo': 9764, 'garganta': 6050, 'malos': 8493, 'cerrando': 2527, 'broche': 1936, 'oro': 10002, 'thnksgod': 13478, 'raps': 11592, 'estupidez': 5329, 'mejengas': 8859, 'ningún': 9638, 'respeto': 11903, 'ajeno': 663, 'imczc': 6882, 'definitivo': 3848, 'piedad': 10648, 'bus': 2019, 'davi': 3729, 'car_hidalgo': 2301, 'palpable': 10119, 'emergencia': 4748, 'poco': 10837, 'ayudó': 1499, 'encima': 4839, 'razón': 11623, 'fox': 5816, 'portadas': 10956, 'periódicos': 10546, 'deportivos': 3955, '_void07': 226, 'calma': 2165, 'fucking': 5897, 'jorge_rivera8': 7471, 'mio': 9080, 'telefonoa': 13342, 'revisar': 11964, 'ig': 6829, 'miles': 9046, 'andarle': 977, 'conversación': 3272, 'fluye': 5767, 'pa': 10049, 'esgermandz': 5158, 'pregunta': 11039, 'yay': 14710, 'vas': 14137, 'irías': 7216, 'jóvenes': 7619, 'victoria': 14330, 'natticornia': 9506, 'younow': 14750, 'mierdas': 9023, 'show': 12647, 'huevos': 6758, 'araña': 1207, 'lista': 8091, 'tenga': 13392, 'sirven': 12758, 'pereza': 10531, 'solicitada': 12848, 'puerto': 11322, 'rociomoram29': 12060, 'jugando': 7557, 'jugadores': 7555, 'viejos': 14350, 'deberían': 3771, 'prioridad': 11148, 'uigitsu': 13952, 'aprende': 1156, 'fersalas2205': 5654, '26': 79, 'sanzzeritica': 12391, 'tómese': 13926, 'isamarsanchezg': 7227, 'seguido': 12463, 'saliamos': 12286, 'batidos': 1640, 'maracuyá': 8601, 'edurraiba': 4579, 'sensible': 12529, 'enfoque': 4892, 'calentura': 2141, 'linnjimenez': 8083, 'bolsa': 1842, 'estomago': 5286, 'mozarella': 9294, 'sticks': 13017, 'huecos': 6742, 'post': 10983, 'operación': 9958, 'puré': 11357, 'gerber': 6108, 'debería': 3769, 'baja': 1551, 'intensidad': 7105, 'verdadera': 14241, 'caca': 2080, 'costaron': 3374, 'new': 9603, 'balance': 1564, 'patrocinador': 10319, 'sele': 12495, 'camisetas': 2210, 'feas': 5587, 'filarmonicacr': 5697, 'adelante': 458, 'maravillosos': 8610, 'trabajos': 13691, 'tributo': 13787, 'stereo': 13015, 'camposgeovanni': 2223, 'claros': 2800, 'fe': 5585, 'ticos': 13488, 'somos': 12879, 'solidarios': 12854, 'injusticia': 7039, 'guardadas': 6335, 'arruinar': 1287, 'dañan': 3744, 'madre': 8420, 'hijo': 6620, 'grandísima': 6252, 'torta': 13653, 'chilena': 2642, 'responsabilidades': 11914, 'extra': 5442, 'adquiría': 496, 'quedaba': 11420, 'cargados': 2322, 'tengan': 13394, 'escuchen': 5139, 'música': 9445, 'abracen': 265, 'salgan': 12280, 'suyos': 13183, 'vera': 14233, 'quita': 11523, 'estupida': 5328, 'abis': 259, 'mía': 9434, 'esperando': 5200, 'saquen': 12398, 'desgraciado': 4071, 'trailer': 13720, 'resident': 11886, 'evil': 5389, 'fuck': 5896, 'md': 8812, 'vamoooos': 14115, 'bill': 1763, 'viejito': 14348, 'tacones': 13227, 'negros': 9567, 'ekallestad': 4626, 'suena': 13082, 'nórdica': 9792, 'argento': 1230, 'pedir': 10381, 'suba': 13038, 'ponderado': 10901, 'marcospedzik': 8629, 'palabras': 10105, 'rebsvargas': 11654, 'masculino': 8724, 'adulto': 509, 'fanático': 5551, 'obsesivo': 9820, 'my': 9406, 'little': 8101, 'pony': 10926, 'anuncios': 1090, 'tv': 13883, 'posgrados': 10970, 'mater': 8747, 'leí': 7995, 'equivocado': 5032, 'aparentemente': 1105, 'salieron': 12294, 'diseñadores': 4302, 'snobs': 12800, 'feed': 5595, 'hubiese': 6739, 'plata': 10777, 'cumpleaños': 3582, 'alcanzó': 711, 'nathy_ab': 9500, '100': 10, 'dairy': 3656, 'queen': 11446, 'huequito': 6748, 'septum': 12565, 'cerrado': 2525, 'cabe': 2064, 'pieza': 10672, 'david_gato5': 3733, 'esque': 5223, 'top': 13643, 'dez': 4151, 'bryant': 1962, 'brown': 1948, 'obj': 9801, 'zek': 14789, 'cuarta': 3523, 'santi': 12381, 'rego': 11786, 'pichel': 10632, 'fresco': 5862, 'parecia': 10196, 'senicienta': 12521, 'piso': 10729, 'jajaj': 7297, 'dankenzon': 3691, 'imagínate': 6877, 'saluda': 12317, 'saludando': 12321, 'atrás': 1404, 'starbucks_ct': 13003, 'queria': 11474, 'preguntarte': 11049, 'cafe': 2103, 'chiapas': 2614, 'shade': 12624, 'grown': 6298, 'degustacion': 3851, 'pronto': 11227, 'acosté': 412, 'súper': 13211, 'horarios': 6697, 'normales': 9698, 'seguir': 12470, 'aguanto': 605, 'calor': 2171, 'posición': 10977, 'indecisa': 6970, 'despedir': 4092, 'poca': 10834, 'estreno': 5300, 'suicide': 13106, 'squad': 12983, 'alvarado': 854, 'velando': 14174, 'luisdbatallar': 8335, 'tabla': 13222, 'reveladora': 11952, 'repelente': 11853, 'luisangelzr': 8334, 'amante': 881, 'bandido': 1590, 'esperándola': 5211, 'asison': 1332, 'jevs_': 7404, 'llamar': 8121, 'melikosha': 8876, 'sputnk': 12981, 'kevoludo24': 7681, 'barato': 1597, 'pais': 10095, 'fabriziobarth': 5488, 'pésame': 11397, 'noy_07': 9751, 'funcionó': 5939, 'valegarrou': 14085, 'pegado': 10401, 'garitacrc': 6051, 'momentos': 9195, 'montamos': 9215, 're': 11628, 'pichudo': 10634, 'lawanddemons': 7883, 'darle': 3710, 'comprensión': 3025, 'ternura': 13442, 'minuto': 9078, 'trabajamos': 13682, 'mall': 8487, 'apoyen': 1146, 'network': 9597, 'mcroyalpvp': 8809, 'hare': 6507, 'directos': 4273, 'ahi': 624, 'habran': 6437, 'malarodriguez': 8469, 'respondes': 11910, 'canso': 2258, 'escucharte': 5135, 'besos': 1729, 'adictivo': 464, 'encanto': 4828, 'lcshinyforflowers': 7888, 'unam': 13971, 'siguientes': 12693, 'titularme': 13545, 'haya': 6535, 'costado': 3369, 'xylefthebarber': 14685, 'comics': 2943, 'humor': 6772, 'negro': 9565, 'estaré': 5262, 'fuera': 5903, 'youtube': 14751, 'cool': 3287, 'logra': 8231, 'rodríguez': 12075, 'choco': 2695, 'banano': 1582, 'borroso': 1887, 'pamearcep': 10121, 'respuesta': 11916, 'correcta': 3317, 'iniciar': 7033, 'tristes': 13802, 'jaspn_': 7346, 'llamo': 8127, 'reservar': 11884, 'funfillegamer': 5947, 'malo': 8490, 'funfi': 5946, 'pena': 10449, 'face': 5491, 'oswar': 10019, 'tiee': 13491, 'exijo': 5416, 'beso': 1728, 'carl': 2335, 'enid': 4909, 'lindoooooo': 8075, 'wtf': 14643, 'inútil': 7182, 'tareas': 13287, 'pasadas': 10246, 'harta': 6515, 'resolviendo': 11892, 'integrales': 7099, 'encontrar': 4843, 'áreas': 14834, 'decir': 3803, 'crecer': 3412, 'crampsattack': 3397, 'lavadora': 7876, 'fumando': 5930, 'rinso': 12010, 'jpr_cr': 7509, 'sal': 12263, 'limón': 8070, 'echo': 4544, 'chile': 2641, 'piladetrastos': 10678, 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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dev"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "vaLQSd72d540",
        "outputId": "0d24012a-6935-456e-e483-2873878ac36a"
      },
      "execution_count": null,
      "outputs": [
        {
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            "text/plain": [
              "                      id                                               text  \\\n",
              "0     819337926026862593                      Antojo de empanada colombiana   \n",
              "1     817464156756574208                          Me volvieron a dejar sola   \n",
              "2     819237267181080576         @ManuTonic Buenotes diotas. Un gran abrazo   \n",
              "3     817486639681466371     cual es su mejor recuerdo juntos? #BntResponde   \n",
              "4     819406610636357632   @leonora_monge @susi_sot por mi sí, con 20 rojos   \n",
              "...                  ...                                                ...   \n",
              "2438  801994750089904128  @sebatramp Acá también, Seba ???? Para peor el...   \n",
              "2439  801561284420521989  @Phoyu_Agustina no soy hack pero es imposible ...   \n",
              "2440  805712525727645696  Nadie te vende un The Last of Us Remastered po...   \n",
              "2441  796172973967310848  Me propuse dejar las redes, las salidas &amp; ...   \n",
              "2442  811595209029124096  @irenichus siii! Voy como en media hora. Me va...   \n",
              "\n",
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              "[2443 rows x 3 columns]"
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              "      <td>@Phoyu_Agustina no soy hack pero es imposible ...</td>\n",
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              "    <tr>\n",
              "      <th>2440</th>\n",
              "      <td>805712525727645696</td>\n",
              "      <td>Nadie te vende un The Last of Us Remastered po...</td>\n",
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              "      <td>@irenichus siii! Voy como en media hora. Me va...</td>\n",
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              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-17931973-5f0d-46fb-9797-b5c63851ef2d button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-17931973-5f0d-46fb-9797-b5c63851ef2d');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dev.hist(column='label', grid=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 471
        },
        "id": "0L4wKfvmd8gj",
        "outputId": "9e58f35e-8f33-48d0-c7b3-8f1c985ec8ac"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[<Axes: title={'center': 'label'}>]], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "explore(dev['text'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Var7hz3Qhp-O",
        "outputId": "8012a9a4-943e-4a3e-e3c2-ffec16dc8c1e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Most frequent  [(',', 1575), ('@', 1535), ('que', 1376), ('de', 1164), ('y', 1065), ('a', 956), ('!', 894), ('.', 843), ('no', 828), ('la', 798), ('me', 750), ('el', 669), ('en', 664), ('es', 541), ('lo', 418), ('mi', 402), ('un', 394), ('se', 355), ('por', 316), ('?', 298)]\n",
            "DF Shape  (2443, 9181)\n",
            "DF Feature names  ['00' '000' '0011' ... 'úselo' 'útil' '선생님']\n",
            "TF IDF Shape  (2443, 9181)\n",
            "DF Vocabulary  {'antojo': 631, 'de': 2286, 'empanada': 2914, 'colombiana': 1759, 'me': 5430, 'volvieron': 8967, 'dejar': 2356, 'sola': 7936, 'manutonic': 5294, 'buenotes': 1189, 'diotas': 2608, 'un': 8630, 'gran': 3857, 'abrazo': 182, 'cual': 2112, 'es': 3109, 'su': 8044, 'mejor': 5452, 'recuerdo': 7212, 'juntos': 4694, 'bntresponde': 1065, 'leonora_monge': 4893, 'susi_sot': 8121, 'por': 6755, 'mi': 5536, 'sí': 8136, 'con': 1859, '20': 33, 'rojos': 7464, 'racesgar': 7119, 'que': 7046, 'linda': 4970, 'la': 4773, 'gente': 3760, 'educada': 2816, 'lindo': 4972, 'estar': 3220, 'metida': 5519, 'en': 2934, 'casa': 1456, 'todo': 8380, 'el': 2838, 'día': 2772, 'noefernandez02': 5939, 'hey': 4086, 'sii': 7861, 'queres': 7077, 'pasas': 6344, 'tus': 8563, 'datos': 2269, 'dm': 2670, 'issmaelsandoval': 4464, 'bonita': 1099, 'para': 6277, 'vos': 8976, 'felizmiercoles': 3467, 'porque': 6766, 'hoy': 4168, 'pase': 6346, 'lo': 5057, 'va': 8694, 'ha': 3951, 'ser': 7759, 'buen': 1173, 'alakaskala': 400, 'no': 5931, 'estoy': 3253, 'entre': 3058, 'tu': 8538, 'lista': 4981, 'buenos': 1186, 'días': 2773, 'eerta': 2824, 'compradora': 1834, 'regalos': 7239, 'mendezcr': 5472, 'puede': 6988, 'hacer': 3991, 'darse': 2257, 'golpecitos': 3815, 'las': 4817, 'uñas': 8692, 'los': 5090, 'dedos': 2335, 'bueno': 1183, 'del': 2377, 'frío': 3631, 'puedo': 6991, 'comer': 1788, 'como': 1803, 'siempre': 7832, 'echarle': 2792, 'culpa': 2163, 'al': 395, 'mismo': 5613, 'lonchs': 5082, 'ese': 3155, 'caso': 1468, 'bien': 1024, 'tengo': 8244, 'derecho': 2420, 'equivocarme': 3089, 'si': 7826, 'tweet': 8577, 'ambiguo': 525, 'hahahaha': 4017, 'saludotes': 7624, 'sharhell': 7805, 'solo': 7949, 'cuestión': 2144, 'ponerle': 6739, 'bastante': 946, 'dios': 2605, 'nos': 5963, 'ayude': 872, 'love': 5100, 'tooo': 8418, 'te': 8198, 'voy': 8982, 'extrañar': 3360, 'massimo': 5381, 'bottura': 1118, 'está': 3286, 'américa': 560, 'méxico': 5798, 'yo': 9097, 'aquí': 703, 'acostada': 248, 'cama': 1300, 'sufriendoooo': 8087, 'quiero': 7098, 'conocerlo': 1895, 'vernonist': 8832, 'serio': 7773, 'aprendo': 681, 'gracias': 3847, 'sitio': 7898, 'una': 8631, 'amiga': 536, 'recomendó': 7198, 'ahora': 363, 'viendo': 8886, 'unos': 8649, 'videos': 8880, 'amareto': 515, 'susana': 8119, 'ojalá': 6073, 'así': 790, 'sea': 7682, 'futuro': 3666, 'verdad': 8810, 'ahorita': 367, 'prefiero': 6811, 'poco': 6697, 'preocupado': 6833, 'pasarme': 6339, 'sobreconfiado': 7916, 'nah': 5829, 'lleno': 5026, 'tattos': 8188, 'arranco': 726, 'pellejitos': 6433, 'aprendí': 682, 'razcarme': 7168, 'les': 4895, 'pasado': 6325, 'nada': 5824, 'puse': 7017, 'vacuna': 8700, '30': 65, 'dice': 2552, 'mami': 5241, 'pero': 6511, 'tetano': 8290, 'duele': 2742, 'muchísimo': 5740, 'brazo': 1127, 'exagerado': 3325, 'piladetrastos': 6601, 'ver': 8805, 'darme': 2256, 'lujo': 5138, 'tanta': 8169, 'tristeza': 8523, 'mes': 5506, 'debut': 2301, 'internacional': 4404, 'ropa': 7491, 'deportiva': 2408, 'usaba': 8666, 'nadar': 5825, 'siento': 7838, 'esa': 3110, 'pubertad': 6968, 'hace': 3988, 'boom': 1104, 'primera': 6868, 'vez': 8849, 'dileivac': 2593, 'ahh': 357, 'menos': 5478, 'decia': 2307, 'alicia': 462, 'emilia': 2899, 'mandaba': 5253, 'dar': 2248, 'perdido': 6477, 'porel': 6757, 'curso': 2180, 'relajese': 7271, 'se': 7681, 'quedar': 7053, 'deseo': 2459, '2017': 39, 'buena': 1174, 'canse': 1362, 'más': 5792, 'difícil': 2577, 'mal': 5208, 'cambie': 1313, 'existira': 3340, 'tipo': 8346, 'mujer': 5750, 'entiende': 3046, 'debe': 2289, 'andar': 570, 'regalada': 7231, 'cuando': 2115, 'mae': 5189, 'ya': 9072, 'tiene': 8323, 'novia': 5981, 'ocupa': 6035, 'otra': 6174, 'triste': 8520, 'cayera': 1484, 'señal': 7799, 'tigo': 8330, 'veo': 8803, 'online': 6118, 'pc': 6393, 'nueva': 6000, 'ni': 5897, 'música': 5810, 'personas': 6536, 'impacientes': 4278, 'gaby': 3684, 'amo': 545, 'libre': 4936, 'somosciclismo': 7964, 'son': 7965, 'grandes': 3859, 'promesas': 6911, 'nuestras': 5997, 'villalobossebas': 8898, 'unas': 8633, 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'400': 80, 'finál': 3532, 'habilitó': 3960, 'amsterdam': 557, 'informaron': 4343, 'tijuana': 8333, 'despedidaaaa': 2479, 'honestamente': 4142, 'dagar': 2218, 'saluda': 7615, 'activo': 261, 'dagarmy': 2220, 'forever': 3572, 'nieta': 5908, 'charlotte': 1549, 'gas': 3727, 'corriendo': 2006, 'asustada': 787, 'beremalfatti': 995, 'mamás': 5245, 'asustan': 789, 'desp': 2477, 'tuiteroboutique': 8551, 'enteré': 3045, 'pato': 6373, 'duck': 2732, 'ducto': 2734, 'duct': 2733, 'diferencia': 2572, 'nenes': 5879, 'guachos': 3903, 'cuanta': 2116, 'bsas': 1163, 'mc': 5421, 'pudimos': 6980, 'supimos': 8109, 'sacarlas': 7564, 'encuentras': 2985, 'ocurre': 6040, '500': 88, 'tipos': 8347, 'tomen': 8402, 'copa': 1974, 'mtvo': 5725, 'pando': 6254, 'urbana': 8657, '234': 46, 'cagona': 1262, 'elll': 2872, 'asasasasasa': 757, 'valeemar15': 8709, 'gonchimontero': 3818, 'cathiib': 1480, 'mikaelamarquez4': 5563, 'mavitalano': 5407, 'alfredosranko': 449, 'supuesto': 8114, 'idem': 4232, 'próspero': 6957, 'freitas': 3610, 'geometrizar': 3763, 'manifestación': 5273, 'nestor_bm': 5886, 'loquito': 5083, 'repitas': 7300, 'terror': 8285, 'buenisima': 1181, 'helado': 4067, 'previouslyserie': 6864, 'jomo': 4609, 'buenorro': 1185, 'dylan': 2764, 'tyler': 8588, 'posey': 6775, 'twiteeros': 8582, 'ferrcarrillo': 3486, 'pedroalfonsoo': 6412, 'flor_vigna': 3559, 'reunida': 7381, 'nuevamente': 6001, 'padrinohermoso': 6217, 'nicebody': 5898, 'fer_nan_da_': 3474, 'lousobrera': 5098, 'inteligencias': 4388, 'múltiples': 5808, 'emocional': 2906, 'nicoberger': 5902, 'old_sound': 6090, 'nico': 5901, 'informantes': 4341, 'tormenta': 8429, 'resisten': 7326, 'adheridas': 282, 'barco': 936, 'peronistsheep': 6512, 'khaltaylor': 4737, 'verifiquemos': 8827, 'contesta': 1943, 'bs': 1162, 'jornada': 4624, 'tempranito': 8225, 'aceptar': 223, 'encontramos': 2972, 'hulk': 4191, 'lola': 5077, 'tremendos': 8508, 'troncos': 8529, 'imaginan': 4262, 'cagaso': 1260, 'vibro': 8862, 'paro': 6301, 'jesussato27': 4565, 'recibiste': 7194, 'lea': 4859, 'enserio': 3026, 'crean': 2049, 'adri_tranqui': 299, 'luchapucha': 5115, 'atrasado': 807, 'querida': 7080, 'turra': 8560, 'flavitalg': 3549, 'cuidate': 2155, 'camilo99fuegos': 1327, 'pepi_goncalvez': 6465, 'valentin_t': 8714, 'tanilustradacom': 8168, 'rescato': 7317, 'sabado': 7535, 'martin': 5366, 'garrix': 3724, 'martinmadruga': 5370, 'reeeee': 7222, 'conseguir': 1909, 'filme': 3515, 'hd': 4054, 'mxlenitajz': 5785, 'otakus': 6170, 'respondo': 7348, 'hra': 4170, 'chupensen': 1635, 'pija': 6598, 'amoroso': 551, 'yyyy': 9124, 'jajajajaj': 4498, 'andresferfer': 581, 'marcelkeoroglin': 5318, 'tota': 8440, 'convenio': 1964, 'firmado': 3536, 'fund': 3662, 'celeste': 1508, 'hope': 4148, 'safe': 7573, 'in': 4298, 'japan': 4525, 'estén': 3292, 'seguros': 7715, 'japon': 4526, 'tzunami': 8589, 'pm': 6686, 'acompañando': 236, 'hinchando': 4109, 'caslabasquet': 1467, 'panaderodutra': 6250, 'fanático': 3418, 'equivoca': 3086, 'político': 6731, 'política': 6730, 'andállevando': 588, 'enamorarte': 2941, 'toyotalatino': 8447, 'cncomusic': 1699, 'partes': 6304, 'entero': 3044, 'perfectamente': 6495, 'redes': 7221, 'mrjr0314': 5715, 'secretasnotas': 7694, 'lavo': 4853, 'plancho': 6650, 'tiendo': 8322, 'cocino': 1720, 'opciones': 6123, 'dibujar': 2547, 'caricatura': 1400, 'preferencia': 6807, 'imparte': 4281, 'deber': 2292, 'cívico': 2208, 'micccaa_': 5540, '140': 17, 'carecteres': 1394, 'donald': 2693, 'entendes': 3039, 'revuelo': 7393, 'herede': 4072, 'altura': 491, 'dientes': 2567, 'jetón': 4566, 'chata': 1552, 'catasoniora': 1479, 'pario': 6298, 'decis': 2320, 'desesperado': 2462, 'qe': 7042, 'despertarte': 2487, 'buenoss': 1188, 'diass': 2545, 'lourdesanchezok': 5096, 'lemusftyo': 4884, 'aguante': 349, 'obdc': 6020, 'caari96': 1223, 'fmed': 3567, 'cuidalo': 2149, 'agarraron': 318, 'gg': 3775, 'muchisimas': 5734, 'antea': 617, 'amigaa': 537, 'dalasreview': 2223, 'dalas': 2221, 'saludarla': 7619, 'luususpe': 5149, 'modos': 5640, 'inca': 4301, '_pepepar': 148, 'gmeznan': 3803, 'validan': 8718, 'sintesis': 7885, 'nuncateolvidesdemi': 6008, 'miles': 5570, 'paja': 6236, 'reviews': 7388, 'airbnb': 376, 'honesto': 4144, 'revistathc': 7391, 'carogaillard': 1431, 'cuestion': 2143, 'multinacional': 5752, 'domine': 2689, 'planta': 6658, 'tu_putarealidad': 8539, 'pendeja': 6444, 'vertee': 8837, 'contarte': 1937, 'ibas': 4218, 'retwittear': 7379, 'conectados': 1869, 'volaste': 8951, 'toman': 8393, 'responderte': 7343, 'gabrie_linta': 3682, 'siguiendo': 7857, 'cnñ': 1703, 'alentador': 434, 'misaelvlog': 5606, 'pasases': 6345, 'yt': 9113, 'soyesegabo': 8008, 'estrena': 3257, 'sonora': 7970, 'solis': 7945, 'mataojo': 5385, 'tala': 8151, 'matando': 5384, 'lacatalinaok': 4781, 'trasmano': 8497, 'sehun': 7717, 'biased': 1011, 'user': 8671, 'identificate': 4234, 'musimundo': 5770, 'filmando': 3514, 'discos': 2622, 'martiiibelieber': 5365, 'argumento': 718, 'falasia': 3385, 'quemada': 7070, 'jsebastiansilva': 4642, 'arrobame': 735, 'vooo': 8975, 'abrigaditos': 185, 'ask': 770, 'deprimente': 2415, 'obeoooo': 6021, 'agh': 329, 'matarlos': 5387, 'notese': 5971, 'mier': 5553, 'ídolos': 9163, 'hi_michellee': 4088, 'harcri': 4031, 'thebraxxter': 8302, 'señorito': 7802, 'brax': 1126, 'detalles': 2516, 'teambts': 8200, 'soompyawards': 7979, 'tuitenado': 8547, 'sercasti': 7762, 'bebeb': 971, 'deberias': 2294, 'colapsara': 1743, 'srita_pelaez': 8026, 'bebe': 970, 'dispuesto': 2644, 'kokoro': 4765, 'perderte': 6474, 'corbouy': 1987, 'juansor38087816': 4657, 'avanzado': 841, 'conciencia': 1860, 'progresistas': 6907, 'coyunturales': 2043, 'desapareciendo': 2431, 'tiernos': 8328, 'encuentran': 2984, 'meterle': 5517, 'mariapa24288607': 5341, 'luzanaftalex': 5155, 'doblasqueen_': 2675, 'arieljn': 721, 'podés': 6714, 'pedidos': 6403, 'historial': 4116, 'desplegás': 2496, 'detalle': 2515, 'publicaciones': 6970, 'eruca': 3107, 'visita': 8915, 'alwaysb0ndar': 500, 'if': 4241, 'joaquin': 4590, 'ocurren': 6041, 'users': 8672, 'inactiva': 4299, 'usando': 8667, 'truco': 8531, 'existen': 3338, 'ultimas': 8625, 'deversalles': 2521, 'cuida': 2146, 'jurruzola': 4699, 'paisaje': 6234, 'captarlo': 1378, 'compra': 1832, 'harry': 4035, 'potter': 6791, 'entraba': 3051, 'liddell_alicia': 4946, 'wa': 9004, 'martinlarre': 5369, 'mrstulis': 5718, 'pasaremos': 6336, 'abzo': 200, 'irenichus': 4447, 'maduro': 5188, 'buendia': 1179, 'soleada': 7941, 'perezanalaura': 6489, 'fing': 3529, 'programación': 6903, 'investigación': 4422, 'operativa': 6127, 'buenavidaep': 1177, 'fray': 3603, 'tube': 8540, 'ue': 8613, 'pasaje': 6326, 'deivi': 2346, 'oximorron': 6192, 'medanoseque': 5433, 'lacallito': 4780, 'renuevan': 7292, 'positivo': 6781, 'flor': 3557, 'periodista': 6505, 'fede': 3444, 'ventilador': 8801, 'mosquitos': 5698, 'contactarte': 1929, 'encontrarnos': 2977, 'través': 8505, 'chat': 1551, 'venía': 8802, 'felíz': 3468, 'twittear': 8583, 'kapoperizando': 4715, 'taylor': 8192, 'bcociudad_call': 966, 'google': 3823, 'baje': 910, 'examenes': 3328, 'bangtan': 923, 'impulso': 4296, 'meterles': 5518, 'flexgmd': 3551, 'gd': 3743, 'familiares': 3405, 'seba': 7687, 'baleado': 916, 'operaron': 6126, 'yaamirivero': 9075, 'trola': 8526, 'aliciavery': 463, 'estrelhabrasil': 3256, 'luuu': 5150, 'engaño': 3005, 'patas': 6368, 'cortas': 2016, 'franfarias05': 3598, 'cristhofert97': 2076, 'estate': 3232, 'atento': 799, 'tendremos': 8230, 'novedades': 5978, 'conversaciones': 1966, 'impagables': 4279, 'calmantes': 1293, 'durmiendo': 2758, 'magui29221004': 5201, 'despertalo': 2485, 'hostel': 4164, 'pasea': 6347, 'polera': 6719, 'nifunifa4': 5909, 'permiso': 6507, 'silperpetua': 7866, 'hagas': 4014, 'fiapecas': 3498, 'ponele': 6735, 'totora': 8443, 'haciéndole': 4004, 'ajustes': 392, 'componiendo': 1831, 'directamente': 2612, 'andate': 572, 'adentro': 281, 'probamos': 6885, 'llovió': 5050, 'cambió': 1318, 'probado': 6884, 'maso': 5378, 'fedesilva': 3446, '9mm': 136, 'bordo': 1106, 'prevenir': 6860, 'abordajes': 175, 'dejarme': 2361, 'lugarsito': 5130, 'orgulloso': 6143, 'faceamigos': 3378, '5k': 96, 'hugoavilashow': 4190, 'pampita': 6248, 'mina': 5580, 'bloquie': 1060, 'laurilec': 4845, 'fua': 3634, 'valora': 8724, 'causa': 1482, 'rocha': 7443, 'salida': 7596, 'closet': 1689, 'utu': 8687, 'toooodo': 8420, 'bettypy': 1008, 'responsables': 7352, 'donvascolet': 2697, '48': 84, 'considero': 1914, 'exterminio': 3352, 'competitivas': 1818, 'ojoconojitos': 6079, 'queridaaa': 7081, 'besoooo': 1003, 'matti1899': 5403, 'arbitro': 704, 'spencerlucy': 8018, 'dra': 2711, 'perdi': 6476, 'take': 8149, 'break': 1129, 'enfinnn': 3000, 'vane_wd94': 8735, 'decinos': 2314, 'pasamos': 6330, 'librería': 4937, 'cercana': 1520, 'saliva': 7606, 'buenasnoches': 1176, 'mhackem': 5535, 'spor': 8021, 'entonar': 3048, 'confiadamente': 1873, 'earthquackes': 2783, 'lately': 4830, 'jugadores': 4670, 'espantoso': 3167, 'horror': 4160, 'testigos': 8289, 'barbaries': 933, 'humanas': 4194, 'juandiana7': 4649, 'urubus_com_uy': 8662, 'escuché': 3148, 'implementada': 4285, 'sfogel': 7803, 'b2b': 887, 'jcard': 4542, 'record': 7202, 'aprobar': 685, '760k': 104, 'temblando': 8217, 'pbuydid': 6392, 'huawei': 4177, 'deseoso': 2461, 'nokia': 5945, 'lumia': 5139, 'inusables': 4415, 'energía': 2991, 'pensarlo': 6459, 'lanza': 4801, 'desaparecido': 2430, 'latam': 4827, 'resto': 7358, 'subo': 8057, 'cabezas': 1228, 'marean': 5327, 'gira': 3796, 'genia': 3757, 'inventiva': 4418, 'dirán': 2616, 'quieran': 7093, 'mete': 5514, 'singularidad': 7882, 'justificar': 4702, 'arrepentido': 731, 'tinfa': 8338, 'gianni': 3778, 'bicho': 1016, 'maravillosos': 5310, 'im': 4259, 'diarioshow': 2543, 'bandanalavuelta': 921, 'susanagimenez': 8120, 'cantan': 1365, 'elementoinno': 2850, 'muuy': 5779, 'querriamos': 7085, 'asap': 756, 'vendria': 8785, 'levantarte': 4910, 'mate': 5392, 'capturebizarre': 1381, 'nacer': 5818, 'engendro': 3007, 'estafada': 3213, 'presentación': 6845, 'indignaciontotal': 4324, 'kawalkerohlson': 4725, 'garantía': 3721, 'comprados': 1835, 'pestañeo': 6557, 'giro': 3797, 'podria': 6707, 'meloo1891': 5462, 'jajajjaja': 4508, 'elfa': 2854, 'cuidar': 2153, 'tristón': 8524, 'lndf': 5056, 'fabricio': 3375, 'arcadas': 706, 'fabrilemus7': 3376, 'thiago23ok': 8307, 'diego_14m': 2563, 'diegodelacurva': 2564, 'juas': 4658, 'idolatrando': 4240, 'dictador': 2561, 'fidel': 3500, 'democracia': 2393, 'empalme': 2913, 'caros': 1432, 'alquileres': 483, 'april_gamer': 684, 'estudiando': 3268, 'abril': 186, 'cordoba': 1989, 'dagar64x': 2219, 'pabloromero74': 6205, 'persigas': 6527, 'tricolor': 8513, 'advertencia': 305, 'zayn': 9133, 'aparecí': 651, 'gilas': 3784, 'erikagf647': 3104, 'trampa': 8484, 'activé': 262, 'sincronizado': 7879, 'drive': 2724, 'leí': 4923, 'escribió': 3133, 'pilotos': 6608, 'fallecidos': 3389, 'aérea': 883, 'fuy': 3667, 'gim': 3791, 'merendando': 5501, 'caelikersespana': 1247, 'nahuellambiase': 5830, 'jajajj': 4506, 'alitamontevideo': 467, 'jajaaaa': 4492, 'boba': 1068, 'gonzalogoette': 3822, 'mininitaherrera': 5584, 'quizá': 7112, 'edits': 2809, 'olvido': 6106, 'rindo': 7419, 'gustipf': 3939, 'alejandrocdia': 427, 'critiqué': 2089, 'gobierna': 3807, 'macri': 5178, 'germangarmendia': 3768, 'loby': 5062, 'minuto': 5589, 'vacio': 8699, 'sebatramp': 7689, 'sismógrafo': 7896, 'phoyu_agustina': 6566, 'hack': 4005, 'sacarme': 7565, 'acc': 215, 'last': 4823, 'us': 8664, 'remastered': 7278, 'dólares': 2777, 'cochina': 1715, 'salidas': 7597, 'reconocer': 7201, 'musculosa': 5767, 'havaianas': 4044, 'rosadas': 7494, 'foreverpink': 3573}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Preprocessing"
      ],
      "metadata": {
        "id": "dvGs75Isiecf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from nltk.corpus import stopwords\n",
        "from nltk.tokenize import word_tokenize\n",
        "import re\n",
        "stop_words = set(stopwords.words('spanish'))\n",
        "\n",
        "def preprocess_text(text):\n",
        "    text = text.lower()\n",
        "    text = re.sub(r'@\\w+', '', text)\n",
        "    tokens = word_tokenize(text)\n",
        "    filtered_tokens = [token for token in tokens if token not in stop_words] # la, le, lo, me, ...\n",
        "    filtered_text = ' '.join(filtered_tokens)\n",
        "    return filtered_text\n",
        "\n",
        "train['processed_text'] = train['text'].apply(preprocess_text)\n",
        "dev['processed_text'] = dev['text'].apply(preprocess_text)"
      ],
      "metadata": {
        "id": "csN9psPYidJp"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dev['text'][2]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vP38Rs83iakT",
        "outputId": "9b6f9b01-39a4-4282-b754-11e7ffe2ac60"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0                           Antojo de empanada colombiana\n",
              "1                               Me volvieron a dejar sola\n",
              "2              @ManuTonic Buenotes diotas. Un gran abrazo\n",
              "3          cual es su mejor recuerdo juntos? #BntResponde\n",
              "4        @leonora_monge @susi_sot por mi sí, con 20 rojos\n",
              "                              ...                        \n",
              "2438    @sebatramp Acá también, Seba ???? Para peor el...\n",
              "2439    @Phoyu_Agustina no soy hack pero es imposible ...\n",
              "2440    Nadie te vende un The Last of Us Remastered po...\n",
              "2441    Me propuse dejar las redes, las salidas &amp; ...\n",
              "2442    @irenichus siii! Voy como en media hora. Me va...\n",
              "Name: text, Length: 2443, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train['processed_text']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jhRUaofMlXRh",
        "outputId": "c0e5f39f-928e-4b32-91a3-3d847176464d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       definitiva ! quedé campo ir tacares , mentaliz...\n",
              "1       escena documentales respetados naturaleza ( 'p...\n",
              "2       feo tener terminar alguien ; dos personas aún ...\n",
              "3       oído mcdonalds `` mejor mannequin challenge vi...\n",
              "4       aceptar hundiendo consumismo nueva macbook pro...\n",
              "                              ...                        \n",
              "4797    ¿qué tipo proyecto diseño preferido ? # díadel...\n",
              "4798     bueno ver personas alegran aunque sólo 2 minutos\n",
              "4799    gracias queridísimo ! buenísimos charla . escu...\n",
              "4800            si asi parte barranca abajo haber perdido\n",
              "4801    compre `` borinquen '' internet ver si aprende...\n",
              "Name: processed_text, Length: 4802, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dev['processed_text']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "o55bI5m2qMfe",
        "outputId": "01b0929f-5862-4fac-eb25-a903c480da34"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0                              antojo empanada colombiana\n",
              "1                                    volvieron dejar sola\n",
              "2                           buenotes diotas . gran abrazo\n",
              "3                   mejor recuerdo juntos ? # bntresponde\n",
              "4                                              , 20 rojos\n",
              "                              ...                        \n",
              "2438    acá , seba ? ? ? ? peor sismógrafo da datos ti...\n",
              "2439          hack imposible sacarme acc q gano confianza\n",
              "2440    nadie vende the last of us remastered menos 60...\n",
              "2441    propuse dejar redes , salidas & amp ; estudiar...\n",
              "2442    siii ! voy media hora . vas reconocer musculos...\n",
              "Name: processed_text, Length: 2443, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "df = pd.concat([dev,train])"
      ],
      "metadata": {
        "id": "6CWhlSR-iJ6e"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def generate_vectorizer():\n",
        "  vectorizer = TfidfVectorizer(ngram_range=(1,6), analyzer='char_wb')\n",
        "  def vectorize(corpus, is_train=True):\n",
        "    if is_train:\n",
        "        return vectorizer.fit_transform(corpus)\n",
        "    else:\n",
        "        return vectorizer.transform(corpus)\n",
        "  return vectorize"
      ],
      "metadata": {
        "id": "s7NihC2-qQWd"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "vectorize = generate_vectorizer()\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(df['text'],df['label'])\n",
        "X_train = vectorize(X_train, is_train=True)\n",
        "X_test = vectorize(X_test, is_train=False)"
      ],
      "metadata": {
        "id": "WEFGzMkUia2p"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X_train"
      ],
      "metadata": {
        "id": "4onN1165qrKH",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "77252133-9404-4c8b-c88e-a9a0b2aa8e6f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<5433x184861 sparse matrix of type '<class 'numpy.float64'>'\n",
              "\twith 1541153 stored elements in Compressed Sparse Row format>"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X_train.vocabulary"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "id": "f62H6y_iGeHv",
        "outputId": "4e123149-5aac-4c2f-eebb-5191493e68d9"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "error",
          "ename": "AttributeError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-20-1a2b53125307>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mX_train\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvocabulary_\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/scipy/sparse/_base.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m    769\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetnnz\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    770\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 771\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mattr\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\" not found\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    772\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    773\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtranspose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mAttributeError\u001b[0m: vocabulary_ not found"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X_test"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZOEvX7LBgt1W",
        "outputId": "b8fd2275-2909-49ce-fb55-49b26bd48c85"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<1812x220598 sparse matrix of type '<class 'numpy.float64'>'\n",
              "\twith 510525 stored elements in Compressed Sparse Row format>"
            ]
          },
          "metadata": {},
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "vectorize([preprocess_text('@ManuTonic Buenotes diotas. Un gran abrazo')], is_train=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mm0-x3uYh5z0",
        "outputId": "af2d9497-0b00-4cce-e693-d83feaaae5b5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<1x184861 sparse matrix of type '<class 'numpy.float64'>'\n",
              "\twith 115 stored elements in Compressed Sparse Row format>"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_train"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OooP9E3Ogwnb",
        "outputId": "1e1af5b5-94b5-4a0d-c145-2396fdfe065c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1260    2\n",
              "2591    2\n",
              "1310    1\n",
              "416     2\n",
              "4751    1\n",
              "       ..\n",
              "953     0\n",
              "1216    1\n",
              "3901    1\n",
              "750     0\n",
              "1034    1\n",
              "Name: label, Length: 5433, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_test"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BgpmZJ6Oi17n",
        "outputId": "90abfaea-4fcb-4195-f33d-b7647a9edcd0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1266    2\n",
              "690     2\n",
              "2530    1\n",
              "172     0\n",
              "640     2\n",
              "       ..\n",
              "3250    0\n",
              "2376    2\n",
              "1882    0\n",
              "2281    1\n",
              "1908    1\n",
              "Name: label, Length: 1812, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Training"
      ],
      "metadata": {
        "id": "eEjpJ_xagJu9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import GridSearchCV\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from xgboost import XGBClassifier\n",
        "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score\n",
        "\n",
        "param_grid_lr = {\n",
        "    'C': [0.01, 1, 10, 100],\n",
        "    'penalty': [None, 'l2']\n",
        "}\n",
        "\n",
        "param_grid_xgb = {\n",
        "    'n_estimators': [50,200],\n",
        "    'learning_rate': [0.01, 0.1, 0.3],\n",
        "    'max_depth': [3, 7],\n",
        "    'gamma': [0, 0.1, 0.2, 0.3, 0.4]\n",
        "}\n",
        "\n",
        "lr = LogisticRegression()\n",
        "xgb = XGBClassifier(use_label_encoder=False, eval_metric='logloss')\n",
        "\n",
        "grid_search_lr = GridSearchCV(lr, param_grid_lr, cv=5, verbose=3)\n",
        "grid_search_xgb = GridSearchCV(xgb, param_grid_xgb, cv=5, verbose=3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jaTHg2WfgJaa",
        "outputId": "43e9c609-efd0-4bbd-938c-fb2acc4ec661"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "result = grid_search_lr.fit(X_train,y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "NG4HuA7LpUAt",
        "outputId": "4df40369-2684-4a08-b895-99ce5c0d7590"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting 5 folds for each of 12 candidates, totalling 60 fits\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END .............C=0.001, penalty=None;, score=0.494 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END .............C=0.001, penalty=None;, score=0.486 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END .............C=0.001, penalty=None;, score=0.520 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END .............C=0.001, penalty=None;, score=0.516 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END .............C=0.001, penalty=None;, score=0.496 total time=   0.9s\n",
            "[CV 1/5] END ...............C=0.001, penalty=l2;, score=0.392 total time=   0.2s\n",
            "[CV 2/5] END ...............C=0.001, penalty=l2;, score=0.392 total time=   0.3s\n",
            "[CV 3/5] END ...............C=0.001, penalty=l2;, score=0.393 total time=   0.2s\n",
            "[CV 4/5] END ...............C=0.001, penalty=l2;, score=0.393 total time=   0.3s\n",
            "[CV 5/5] END ...............C=0.001, penalty=l2;, score=0.393 total time=   0.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END ..............C=0.01, penalty=None;, score=0.494 total time=   1.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END ..............C=0.01, penalty=None;, score=0.486 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END ..............C=0.01, penalty=None;, score=0.520 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END ..............C=0.01, penalty=None;, score=0.516 total time=   0.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END ..............C=0.01, penalty=None;, score=0.496 total time=   0.8s\n",
            "[CV 1/5] END ................C=0.01, penalty=l2;, score=0.392 total time=   0.4s\n",
            "[CV 2/5] END ................C=0.01, penalty=l2;, score=0.392 total time=   0.1s\n",
            "[CV 3/5] END ................C=0.01, penalty=l2;, score=0.393 total time=   0.2s\n",
            "[CV 4/5] END ................C=0.01, penalty=l2;, score=0.393 total time=   0.4s\n",
            "[CV 5/5] END ................C=0.01, penalty=l2;, score=0.393 total time=   0.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END ...............C=0.1, penalty=None;, score=0.494 total time=   1.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END ...............C=0.1, penalty=None;, score=0.486 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END ...............C=0.1, penalty=None;, score=0.520 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END ...............C=0.1, penalty=None;, score=0.516 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END ...............C=0.1, penalty=None;, score=0.496 total time=   0.8s\n",
            "[CV 1/5] END .................C=0.1, penalty=l2;, score=0.465 total time=   0.4s\n",
            "[CV 2/5] END .................C=0.1, penalty=l2;, score=0.461 total time=   0.2s\n",
            "[CV 3/5] END .................C=0.1, penalty=l2;, score=0.467 total time=   0.2s\n",
            "[CV 4/5] END .................C=0.1, penalty=l2;, score=0.477 total time=   0.4s\n",
            "[CV 5/5] END .................C=0.1, penalty=l2;, score=0.467 total time=   0.2s\n",
            "[CV 1/5] END .................C=1, penalty=None;, score=0.494 total time=   1.6s\n",
            "[CV 2/5] END .................C=1, penalty=None;, score=0.486 total time=   1.1s\n",
            "[CV 3/5] END .................C=1, penalty=None;, score=0.520 total time=   1.0s\n",
            "[CV 4/5] END .................C=1, penalty=None;, score=0.516 total time=   0.6s\n",
            "[CV 5/5] END .................C=1, penalty=None;, score=0.496 total time=   1.1s\n",
            "[CV 1/5] END ...................C=1, penalty=l2;, score=0.525 total time=   0.5s\n",
            "[CV 2/5] END ...................C=1, penalty=l2;, score=0.499 total time=   0.7s\n",
            "[CV 3/5] END ...................C=1, penalty=l2;, score=0.546 total time=   0.8s\n",
            "[CV 4/5] END ...................C=1, penalty=l2;, score=0.558 total time=   0.7s\n",
            "[CV 5/5] END ...................C=1, penalty=l2;, score=0.529 total time=   0.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END ................C=10, penalty=None;, score=0.494 total time=   0.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END ................C=10, penalty=None;, score=0.486 total time=   0.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END ................C=10, penalty=None;, score=0.520 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END ................C=10, penalty=None;, score=0.516 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END ................C=10, penalty=None;, score=0.496 total time=   1.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "  n_iter_i = _check_optimize_result(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END ..................C=10, penalty=l2;, score=0.507 total time=   1.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "  n_iter_i = _check_optimize_result(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END ..................C=10, penalty=l2;, score=0.492 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "  n_iter_i = _check_optimize_result(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END ..................C=10, penalty=l2;, score=0.519 total time=   1.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "  n_iter_i = _check_optimize_result(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END ..................C=10, penalty=l2;, score=0.544 total time=   1.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "  n_iter_i = _check_optimize_result(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END ..................C=10, penalty=l2;, score=0.525 total time=   0.9s\n",
            "[CV 1/5] END ...............C=100, penalty=None;, score=0.494 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END ...............C=100, penalty=None;, score=0.486 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END ...............C=100, penalty=None;, score=0.520 total time=   0.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END ...............C=100, penalty=None;, score=0.516 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:1181: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END ...............C=100, penalty=None;, score=0.496 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "  n_iter_i = _check_optimize_result(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END .................C=100, penalty=l2;, score=0.496 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "  n_iter_i = _check_optimize_result(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END .................C=100, penalty=l2;, score=0.485 total time=   1.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "  n_iter_i = _check_optimize_result(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END .................C=100, penalty=l2;, score=0.511 total time=   1.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "  n_iter_i = _check_optimize_result(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END .................C=100, penalty=l2;, score=0.533 total time=   1.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "  n_iter_i = _check_optimize_result(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END .................C=100, penalty=l2;, score=0.518 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "GridSearchCV(cv=5, estimator=LogisticRegression(),\n",
              "             param_grid={'C': [0.001, 0.01, 0.1, 1, 10, 100],\n",
              "                         'penalty': [None, 'l2']},\n",
              "             verbose=3)"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GridSearchCV(cv=5, estimator=LogisticRegression(),\n",
              "             param_grid={&#x27;C&#x27;: [0.001, 0.01, 0.1, 1, 10, 100],\n",
              "                         &#x27;penalty&#x27;: [None, &#x27;l2&#x27;]},\n",
              "             verbose=3)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" ><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GridSearchCV</label><div class=\"sk-toggleable__content\"><pre>GridSearchCV(cv=5, estimator=LogisticRegression(),\n",
              "             param_grid={&#x27;C&#x27;: [0.001, 0.01, 0.1, 1, 10, 100],\n",
              "                         &#x27;penalty&#x27;: [None, &#x27;l2&#x27;]},\n",
              "             verbose=3)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression()</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression()</pre></div></div></div></div></div></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clf = LogisticRegression(C=1,penalty='l2', multi_class='ovr', max_iter=12000)\n",
        "clf.fit(X_train, y_train)"
      ],
      "metadata": {
        "id": "JLkR_w0ysiiD",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "outputId": "caee680e-9de1-499e-cc05-012eca4af856"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LogisticRegression(C=1, max_iter=12000, multi_class='ovr')"
            ],
            "text/html": [
              "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(C=1, max_iter=12000, multi_class=&#x27;ovr&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(C=1, max_iter=12000, multi_class=&#x27;ovr&#x27;)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "accuracy_score(y_test, clf.predict(X_test)), \\\n",
        "precision_score(y_test, clf.predict(X_test),average='weighted'), \\\n",
        "recall_score(y_test, clf.predict(X_test),average='weighted'), \\\n",
        "f1_score(y_test, clf.predict(X_test),average='weighted')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ULHmUmG9jDNI",
        "outputId": "4e41881d-9ce2-470c-dbb8-dc784ec1e3ac"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(0.7347502070107645,\n",
              " 0.7379165155395048,\n",
              " 0.7347502070107645,\n",
              " 0.7316877121503668)"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "y_pred = clf.predict(X_test)\n",
        "cm = confusion_matrix(y_test, y_pred, normalize='true')\n",
        "disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=clf.classes_)\n",
        "disp.plot(cmap=plt.cm.Blues)\n",
        "plt.title('Normalized Confusion Matrix')\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "pWVoP-kftxfC",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "outputId": "eca73516-a312-4f55-c95d-fe99b979e042"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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du9GzZ0+4ubkhPT0dmzdvRlJSkvLOc6NHj8aaNWvwyiuvYMiQIXB0dMTy5ctx8eJFbNy4scLIgy4GDBiAjz/+GG+++SY6deqEf/75B7///nuFXq6fnx9CQ0MRGBgIR0dHHD58GBs2bEBUVFSl+zbkd8rf3x/+/v6PrePj44NGjRph5MiRuHbtGuzs7LBx40a1c/qBgYEAgCFDhiA8PBxmZmZ45513tI5r6NChuHXrFv744w+YmZnh5ZdfxoABA/Dll1/i9ddff2LMRFVisPX4pFcPX+72qIiICAGAyuVugiAIJSUlwqRJk4QGDRoI5ubmgqenpzBmzBjh3r17KvW8vLzUXvpUfvnVzz//rFEs6i4/2rJli9CiRQvBwsJC8Pb2Fr766ithyZIlAgDh4sWLynpPutyt/JjqtkcvT9u9e7cQHh4u2NvbCxYWFkKjRo2E/v37C4cPH1apt3HjRsHX11eQy+WCn5+f8MsvvwgRERFPvNztYRs2bBA6d+4sODo6CrVq1RLq1q0r9OrVS0hMTFSpd/78eaFnz56Cg4ODYGFhIQQFBQnbtm2rELe6n7e6y6wqu9ytrKxMGDVqlODk5CRYWVkJ4eHhQmpqaoXL3b788kshKChIcHBwECwtLQUfHx9h6tSpKpc1Pnq5myDo/p169HOuDP673O1x1P0MTp06JYSFhQk2NjaCk5OTMHDgQOGff/6p8PMrLS0VPv30U8HZ2VmQSCTK8yz/Wc+YMaPC8R79HH799VcBgPDNN9+o1MvLyxO8vLwEf39/lZ8nkb5IBEGHFTdERET0VOEcOxERkQlhYiciIjIhTOxEREQmhImdiIjIhDCxExERmRAmdiIiIhNi1DeoUSgUuH79OmxtbfV6C0giIqoZgiAgPz8f7u7uer0Z06Pu3buH4uJinfcjk8lgYWGhh4iqj1En9uvXr1d4ghgRERmftLQ01KtXr1r2fe/ePVja1gFK7+i8Lzc3N1y8ePGpTu5GndjLn3ct84uAxEz2hNpk7M7Eq38ELZkmKwuj/ueJNJSfl4fGDTyV/55Xh+LiYqD0DuR+EYAuuaKsGOmnlqO4uJiJvbqUD79LzGRM7CJg+99zzkkcrJnYRaVGplNrWeiUKwSJcSxL498cIiISBwkAXX6BMJKlXEzsREQkDhLp/U2X9kbAOKIkIiIijbDHTkRE4iCR6DgUbxxj8UzsREQkDhyKJyIiImPDHjsREYkDh+KJiIhMiY5D8UYyyG0cURIREZFG2GMnIiJx4FA8ERGRCeGqeCIiIjI27LETEZE4cCieiIjIhIhkKJ6JnYiIxEEkPXbj+PWDiIjISM2ZMwfe3t6wsLBAcHAwkpKSHls/Li4OTZs2haWlJTw9PTF8+HDcu3dP4+MxsRMRkTiUD8Xrsmlp3bp1iI6ORkxMDI4cOQJ/f3+Eh4fj5s2bauuvXr0ao0ePRkxMDE6fPo3Fixdj3bp1GDt2rMbHZGInIiJxkEh0TOzaD8XPmjULAwcORGRkJPz8/DBv3jxYWVlhyZIlausfOHAAL7zwAt599114e3ujc+fO6N279xN7+Q9jYiciItJCXl6eylZUVKS2XnFxMZKTkxEWFqYsk0qlCAsLw8GDB9W2adOmDZKTk5WJ/MKFC9ixYwe6dOmicXxcPEdEROIgldzfdGkPwNPTU6U4JiYGEydOrFA9KysLZWVlcHV1VSl3dXXFmTNn1B7i3XffRVZWFtq2bQtBEFBaWoqPP/5Yq6F4JnYiIhIHPV3ulpaWBjs7O2WxXC7XNTKlxMRETJs2DT/++COCg4ORmpqKoUOHYsqUKRg/frxG+2BiJyIi0oKdnZ1KYq+Mk5MTzMzMkJGRoVKekZEBNzc3tW3Gjx+Pvn37YsCAAQCA5s2bo7CwEB9++CHGjRsHqfTJv5hwjp2IiMSh/Dp2XTYtyGQyBAYGIiEhQVmmUCiQkJCAkJAQtW3u3LlTIXmbmZkBAARB0Oi47LETEZE4GODOc9HR0YiIiECrVq0QFBSEuLg4FBYWIjIyEgDQr18/eHh4IDY2FgDQtWtXzJo1Cy1btlQOxY8fPx5du3ZVJvgnYWInIiKqJr169UJmZiYmTJiA9PR0BAQEID4+Xrmg7sqVKyo99C+++AISiQRffPEFrl27BmdnZ3Tt2hVTp07V+JgSQdO+/VMoLy8P9vb2kDcfCImZzNDhUDW7ui/O0CFQDbK2YL9DDPLy8uBaxx65ubkazVtX9Rj29vaQh06EpJZFlfcjlN5DUeLEao1VH/g3h4iIxIEPgSEiIjIhfAgMERERGRv22ImISBw4FE9ERGRCOBRPRERExoY9diIiEgkdh+KNpC/MxE5EROLAoXgiIiIyNuyxExGROEgkOq6KN44eOxM7ERGJg0gudzOOKImIiEgj7LETEZE4iGTxHBM7ERGJg0iG4pnYiYhIHETSYzeOXz+IiIhII+yxExGROHAonoiIyIRwKJ6IiIiMDXvsREQkChKJBBIR9NiZ2ImISBTEktg5FE9ERGRC2GMnIiJxkPy36dLeCDCxExGRKHAonoiIiIwOe+xERCQKYumxM7ETEZEoMLFTjRnwVnt8+t5LcKljh3/PXcOoGT/jyKnLldb/uHco3n+zHeq51kZ2biF+TTiKyXO2oKi4FAAwamAXjP6wi0qbs5fSEfzWl9V6HlTRsl/2Yd6aP5GZnQ/fRu6YMuxNtPTzqrT+tt3HMGPRDlxNz4Z3PWeM/bgrXgrxU76fmZ2PaXO3YO/fKcgtuItg/0aYMuxNNPR0Vta5eSsPX/64BfsOp6DgThEaebrg036d8Gqof7Weq9gtXL8H3/+UgJu38tDsGQ989dlbCHzWu9L6m/84gmnztuPKjVto6OmMiZ92R+cXnlW+P2jiSqzZfkilzUvP+2LD94OVr1t0m4C0G9kqdSYM7obh/Tvr56RMDBN7DZozZw5mzJiB9PR0+Pv74/vvv0dQUJChw6oRb3R6Dl8OewPR09ch+d9L+Lh3R2z8fjBa95yMrNsFFer3DG+FmMGv49Mpq3Do+AU0ru+COTF9IQjAF3G/KOudPn8d3Qd/r3xdWqqokfOhB7YkHMHkHzYjdsTbaOnnhUU/78F7I+Zhz+qxcKptW6H+4RMXMXjSCoz+8DWEtfHD5j+OYMDYxfht8Uj4NKwLQRDwwdhFMK9lhsWxA2BrLceCdYnoPfxH7F45GlaWcgDAsKmrkFtwF0tiB8DRwRqbdx3BJzHLsGPhCDRrUq+mfwyi8MvOZHwRtwmzRvdCYDNvzFuzG29+Ogd/b5gAZ8eKn/Whfy5gwBfLMGFwN4S3bYYN8Yfx3sgFSFw5Cn6N3ZX1Xgrxw5wJ7ylfy2UV/8ke+9Gr6Nf9BeVrG2u5ns+OjI3BF8+tW7cO0dHRiImJwZEjR+Dv74/w8HDcvHnT0KHViEHvvogVmw9g9da/kHIxHdGxa3HnXjHe6xaitn5QiwY4dPwCNvx+GGk3srH70Bls3HkYgc+q9gJLyxS4eStfuWXnFtbE6dBDFqxLRO+uIej1ajCaNHDD9JFvwcJChrWP9MLKLd6wB6FBPvjk3RfxjLcbPhvQBc2a1MOyX/YBAC6mZeLIycuYNuItBPjWR6P6rogd8RbuFZVg8x9HlPs5/O9FRPZoh5Z+XvByd8LQiM6ws7HE8ZS0GjlvMfpx9Z/o170N+nQLgU/Dupg15h1YWcjw05aDauvPX5uIl0J8MaRvGJo2cMO4T16Dv48nFv68R6WeXFYLrk52ys3BzqrCvmysLFTqWFsysVdKoofNCBg8sc+aNQsDBw5EZGQk/Pz8MG/ePFhZWWHJkiWGDq3amdcyQ4CPJxKTUpRlgiBgT1IKWjdvoLZN0vGLCPDxxHP/Ded6edRBpzbPYtf/TqrUa+jpjFM7puLo5olYMCUC9VxrV9+JUAXFJaU4cfYq2gU2UZZJpVK0a9UER05eUtsm+d9LaNeqiUpZhyAfJP97v35Ryf2pFrnMXGWfMlkt/H38grKsVbMG2PrnUdzOK4RCocCvfxxBUXEpQlo21tPZ0cOKS0px7EwaQoOaKsukUik6BDXF3ycuqm2TdOIiQlv7qJS9+Lwv/j5xSaVsf/I5PNN5NFq/ORnR09ciO6fiKF7c8p1oGPY52veZjtkr/0BpaZnuJ2WiyofiddmMgUGH4ouLi5GcnIwxY8Yoy6RSKcLCwnDwoPrfdE1JHQcb1KplhszsfJXyzOw8POPtqrbNht8Pw9HBGr8tGg6JRALzWmZYsmEfZi3bqayTfPISBk/6CamXM+DqZI9RA1/BjoXD0eadqSi4U1St50T3ZecWoqxMUWEY1qm2LVIvZ6htk5mdD6dH6js72iIzOw8A0NjLFR6utTF9/jZM/+xtWFnIsHB9Im7czMHNW3nKNnMnRWBQzHI0f3UcaplJYWkhw6Kp76NBPWeQ/t3KKVD7WTs72uHcJfWf9c1beXCuU/GzfvhzfKmNL17r6A8vjzq4dDULU37cireGzsXOJSNgZna/T/ZRrw7w9/GEg501ko5fwOQ5W5CRlYupw9/U81mSMTFoYs/KykJZWRlcXVWTmKurK86cOVOhflFREYqKHiSmvLy8CnVM3QvPPYPoyHCM/Godkv+9jAaeTpg+oidGZr2MmYvjAQB/HDilrH8y9ToO/3sJJ7ZORvew5yodGqSnn3ktMyyc+j5GTl+DZl3GwsxMiraBTdDxeV8IgqCsN2PRb8gtuIu13w6Co4M14vedwCcxy7DxhyHwbeT+mCPQ0+TNzq2U//9sYw8829gDLd+YiP3J59Dhv9GBwX1eUtZp9owHZOa1MHzaGkwY3E1lZIfuu//UVl0Wz+kvlur0VCye01RsbCwmTZpk6DD05lZOAUpLy9T+pv/wb+4PG/fxq1i/Iwkrf72foE+dvw5rSzm+Hdsb3yz5XeUf+HJ5BXeReuWmysppql6O9tYwM5NWGI3Jup0Plzp2ats4O9oiq8LoTT6cHR/Ub9HUEzuXfo68grsoKSlDndo2eO3DWfD3qQ8AuHQtC8t+2YeEFaPQtEFdAIBfYw8k/XMByzftx/SRb+vzNAn3R97UfdaZ2XmVftYudeyQeaviZ11ZfQDwrueEOg42uHA1U5nYHxX4rDdKyxS4cj270lE/MZNA1+F048jsBp1jd3JygpmZGTIyVIerMjIy4ObmVqH+mDFjkJubq9zS0ox7MVBJaRmOnUlDh9YP/pJKJBK0b92k0rk5SwsZFArV5F1WpvivrfrjWFvK0MDDCelZufoJnJ5IZl4LzZvUw/7kc8oyhUKB/cln8Vwll0AFNvNWqQ8A+w6nILBZxfp2NpaoU9sGF9IycTwlDZ3bNgMA3L1XDACQPvJlMJNKKnxvSD9k5rUQ4OOJPX8/WCujUCiw9++zla6VCWreQKU+AOw+dAatm3tXepxrGbeRnVsI18ck/xNnr0IqlahdiU/iYdDELpPJEBgYiISEBGWZQqFAQkICQkIqrgqXy+Wws7NT2Yxd+Wrad14NRhNvV8wa3QvWlnKs2voXAGDuxL6YMLibsn78vn8R+WZb9OgUiPrudRAa5IOxH7+G+H0nlP9wTx76Bto81xiedR0R1KIBVs74EGUKBTb+nmyQcxSrD3uFYs22g/j5tyScu5SOMd/8jLt3i9GrSzAAYOiXPyF23lZl/Q96dkDiodOYv3Y3Ui9n4Jslv+H4mTT079FOWWfb7mM4cPQcLl/Pwu/7TuDd6B8R3q45OgTdX4jV2MsV3vWcMHrmehw9dRmXrmVh/trd2Hv4LMLbNa/ZH4CIlF/dsmbbf1e3TF+HwrtF6NP1eQDAxzErMOmHX5X1P3onFAkHT+GHnxJw9lI6pi/YjmOnr2DgWx0AAAV3ijD+u034+8RFXLl+C3uSUtBn5AI09HTCSyG+AICk4xcwd/VunDh7FZeuZmH9b39j3Lcb8fYrrdWunicunqsx0dHRiIiIQKtWrRAUFIS4uDgUFhYiMjLS0KHViE27jsDJwQZjP3oVLnVsceLsNfQcMkc5rFfPzRGKh4bXZy6JhyAIGPfJa6jrbI9bOQWI3/cvpvz4IEF4uDhg0ZeRcLS3QtbtAhz65wI6RX6DW2pW1FL16fbSc7iVU4iZi39DZnYe/Bp7YOXMj5S9qWsZt1V61q2aN8APMf3w9cLt+GrBNjSo54xF0z6AT8O6yjoZt3Ix6YfNyPpv2Lbny60xNOLBzUjMa5lhxdcfIXb+VkSOXojCu8Xw9nDCt2PfVbnRDelXj86ByMopwLT523HzVj6aN/HAhtmDlUPrV9OzVT7rYP+GWPhlf0yduw1TftyKhp7O+Gnmh8pr2M2kEpxKvYa12w8hN/8u3Jzt8WLw/V/iy+fO5TJz/LIrGdMX7kBxSSm83Ovgk94dMbjPizX/AzAWBnq6mzb3agkNDcWePXsqlHfp0gXbt2/XLExB3aRsDfvhhx+UJx0QEIDZs2cjODj4ie3y8vJgb28PefOBkJjJaiBSMqSr++IMHQLVIGsLg/c7qAbk5eXBtY49cnNzq20UtjxX1H5nESSyqo9mCMV3cHvtAK1iXbduHfr164d58+YhODgYcXFx+Pnnn5GSkgIXF5cK9bOzs1FcXKx8fevWLfj7+2PRokXo37+/Rsc0+HXsABAVFYXLly+jqKgIhw4d0iipExERaUXXYfgqDMVre68WR0dHuLm5Kbddu3bBysoKb731lsbHfCoSOxERUXXT1xx7Xl6eyvbwZdgPK79XS1hYmLJM23u1LF68GO+88w6sra01Pk8mdiIiEgV9JXZPT0/Y29srt9jYWLXHe9y9WtLT058Yb1JSEv79918MGDBAq/PkJBYREZEW0tLSVObY5fLquT//4sWL0bx5c60fisbETkRE4qCnVfGaXm6t7b1aHlZYWIi1a9di8uTJWofJoXgiIhKFmr6OXdt7tTzs559/RlFREd57773H1lOHPXYiIqJq8qR7tfTr1w8eHh4V5ukXL16M7t27o06dOlofk4mdiIhEQde7x1Wlba9evZCZmYkJEyYo79USHx+vXFB35coVSKWqg+cpKSnYv38/du7cqW6XT8TETkREomCIxA7cv1dLVFSU2vcSExMrlDVt2lTtA700xTl2IiIiE8IeOxERiYKheuw1jYmdiIjEwUAPgalpHIonIiIyIeyxExGRKHAonoiIyIQwsRMREZkQsSR2zrETERGZEPbYiYhIHESyKp6JnYiIRIFD8URERGR02GMnIiJREEuPnYmdiIhEQQIdE7uRTLJzKJ6IiMiEsMdORESiwKF4IiIiUyKSy904FE9ERGRC2GMnIiJR4FA8ERGRCWFiJyIiMiESyf1Nl/bGgHPsREREJoQ9diIiEoX7PXZdhuL1GEw1YmInIiJx0HEonpe7ERERUY1jj52IiESBq+KJiIhMCFfFExERkdFhj52IiERBKpVAKq16t1vQoW1NYmInIiJR4FA8ERERGR322ImISBS4Kp6IiMiEiGUonomdiIhEQSw9ds6xExERmRD22ImISBTYYyciIjIh5XPsumxVMWfOHHh7e8PCwgLBwcFISkp6bP2cnBwMHjwYdevWhVwuR5MmTbBjxw6Nj8ceOxERUTVZt24doqOjMW/ePAQHByMuLg7h4eFISUmBi4tLhfrFxcXo1KkTXFxcsGHDBnh4eODy5ctwcHDQ+JhM7EREJAoS6DgUX4Xnts6aNQsDBw5EZGQkAGDevHnYvn07lixZgtGjR1eov2TJEmRnZ+PAgQMwNzcHAHh7e2t1TA7FExGRKOhrKD4vL09lKyoqUnu84uJiJCcnIywsTFkmlUoRFhaGgwcPqm2zZcsWhISEYPDgwXB1dUWzZs0wbdo0lJWVaXyeTOxERERa8PT0hL29vXKLjY1VWy8rKwtlZWVwdXVVKXd1dUV6erraNhcuXMCGDRtQVlaGHTt2YPz48fjmm2/w5Zdfahwfh+KJiEgU9LUqPi0tDXZ2dspyuVyuc2zlFAoFXFxcsGDBApiZmSEwMBDXrl3DjBkzEBMTo9E+mNiJiEgU9HXnOTs7O5XEXhknJyeYmZkhIyNDpTwjIwNubm5q29StWxfm5uYwMzNTlvn6+iI9PR3FxcWQyWRPPC6H4omIiKqBTCZDYGAgEhISlGUKhQIJCQkICQlR2+aFF15AamoqFAqFsuzs2bOoW7euRkkdYGInIiKRKB+K12XTVnR0NBYuXIjly5fj9OnT+OSTT1BYWKhcJd+vXz+MGTNGWf+TTz5BdnY2hg4dirNnz2L79u2YNm0aBg8erPExORRPRESiYIiHwPTq1QuZmZmYMGEC0tPTERAQgPj4eOWCuitXrkAqfdDH9vT0xO+//47hw4ejRYsW8PDwwNChQzFq1CiNj8nETkREomCoW8pGRUUhKipK7XuJiYkVykJCQvDXX39V6VgAh+KJiIhMikn02NcuHg1rG1tDh0HVLPSrREOHQDXoz887GDoEqgEFd0tq7mA6DsVX4cZzBmESiZ2IiOhJ+HQ3IiIiMjrssRMRkSgYYlW8ITCxExGRKHAonoiIiIwOe+xERCQKHIonIiIyIRyKJyIiIqPDHjsREYmCWHrsTOxERCQKnGMnIiIyIWLpsXOOnYiIyISwx05ERKLAoXgiIiITwqF4IiIiMjrssRMRkShIoONQvN4iqV5M7EREJApSiQRSHTK7Lm1rEofiiYiITAh77EREJApcFU9ERGRCxLIqnomdiIhEQSq5v+nS3hhwjp2IiMiEsMdORETiINFxON1IeuxM7EREJApiWTzHoXgiIiITwh47ERGJguS/P7q0NwZM7EREJApcFU9ERERGhz12IiISBd6g5iFbtmzReIfdunWrcjBERETVRSyr4jVK7N27d9doZxKJBGVlZbrEQ0RERDrQKLErFIrqjoOIiKhaieWxrTrNsd+7dw8WFhb6ioWIiKjaiGUoXutV8WVlZZgyZQo8PDxgY2ODCxcuAADGjx+PxYsX6z1AIiIifShfPKfLZgy0TuxTp07FsmXL8PXXX0MmkynLmzVrhkWLFuk1OCIiImM3Z84ceHt7w8LCAsHBwUhKSqq07rJlyyr8MqHtyLjWiX3FihVYsGAB+vTpAzMzM2W5v78/zpw5o+3uiIiIakT5ULwum7bWrVuH6OhoxMTE4MiRI/D390d4eDhu3rxZaRs7OzvcuHFDuV2+fFmrY2qd2K9du4bGjRtXKFcoFCgpKdF2d0RERDWifPGcLpu2Zs2ahYEDByIyMhJ+fn6YN28erKyssGTJkkrbSCQSuLm5KTdXV1ftzlPbIP38/LBv374K5Rs2bEDLli213R0REZFRycvLU9mKiorU1isuLkZycjLCwsKUZVKpFGFhYTh48GCl+y8oKICXlxc8PT3x+uuv4+TJk1rFp/Wq+AkTJiAiIgLXrl2DQqHAL7/8gpSUFKxYsQLbtm3TdndEREQ1QgLdHqle3tbT01OlPCYmBhMnTqxQPysrC2VlZRV63K6urpVOXTdt2hRLlixBixYtkJubi5kzZ6JNmzY4efIk6tWrp1GcWif2119/HVu3bsXkyZNhbW2NCRMm4LnnnsPWrVvRqVMnbXdHRERUI/R1S9m0tDTY2dkpy+Vyuc6xlQsJCUFISIjydZs2beDr64v58+djypQpGu2jStext2vXDrt27apKUyIiIqNmZ2enktgr4+TkBDMzM2RkZKiUZ2RkwM3NTaNjmZubo2XLlkhNTdU4vio/3e3w4cNYuXIlVq5cieTk5KruhoiIqEaUP7ZVl00bMpkMgYGBSEhIUJYpFAokJCSo9Mofp6ysDCdOnEDdunU1Pq7WPfarV6+id+/e+N///gcHBwcAQE5ODtq0aYO1a9dqPAdARERUkwzxdLfo6GhERESgVatWCAoKQlxcHAoLCxEZGQkA6NevHzw8PBAbGwsAmDx5Mp5//nk0btwYOTk5mDFjBi5fvowBAwZofEytE/uAAQNQUlKC06dPo2nTpgCAlJQUREZGYsCAAYiPj9d2l0RERCapV69eyMzMxIQJE5Ceno6AgADEx8crF9RduXIFUumDwfPbt29j4MCBSE9PR+3atREYGIgDBw7Az89P42NKBEEQtAnS0tISBw4cqHBpW3JyMtq1a4c7d+5oszud5OXlwd7eHpuSzsPaxrbGjkuGEb36H0OHQDXoz887GDoEqgH5eXloVM8Jubm5Gs1bV0V5rnh7wX7IrGyqvJ/iOwVY/2Hbao1VH7TusXt6eqq9EU1ZWRnc3d31EhQREZG+GWIo3hC0Xjw3Y8YMfPrppzh8+LCy7PDhwxg6dChmzpyp1+CIiIj0paYXzxmKRj322rVrq/ymUlhYiODgYNSqdb95aWkpatWqhffffx/du3evlkCJiIjoyTRK7HFxcdUcBhERUfUSy1C8Rok9IiKiuuMgIiKqVvq6pezTrkp3nit37949FBcXq5Q9zSsFiYiITJ3Wib2wsBCjRo3C+vXrcevWrQrvl5WV6SUwIiIifarqo1cfbm8MtF4V//nnn+PPP//E3LlzIZfLsWjRIkyaNAnu7u5YsWJFdcRIRESkM4lE980YaN1j37p1K1asWIHQ0FBERkaiXbt2aNy4Mby8vLBq1Sr06dOnOuIkIiIiDWjdY8/OzkbDhg0B3J9Pz87OBgC0bdsWe/fu1W90REREelK+Kl6XzRho3WNv2LAhLl68iPr168PHxwfr169HUFAQtm7dqnwoDGln+84kbNp2ALdzC9Cgvhs+jHgFTRp7qK37+5/J2L3vOC6n3QQANG5QF317vaRS/+69Yixf8wcOJZ9Bfv5duLo44LXwYLwS1qpGzocq91brenivjRfq2MhwLr0AM35LwanreZXWt5HXwqCXGqGjjwvsLM1xI/cuZsWfxYHU++tbWtZ3QN82XvBxt4OzrRwj1/6DPSmZNXU6pKXlv+zH/LV/IjM7H76N3DF5aA8E+HmprZty8QZmLY7HibNpuJp+GxOiumPA27zNri50HU43kryufY89MjIS//xz/57do0ePxpw5c2BhYYHhw4fjs88+03uApm7fwX+x+KedeKdHB3w79SN413dFzPSfkJNbqLb+v6cuo32bZpj6RQRmTPoATnXsETN9JW5lP0gOi1f+jiPHUxE9qAfmzByMri8/j/nLduBQckpNnRap0elZVwzr3ASL9lxA3/lJOJeRj+/fa4naVuZq69eSSjCnb0vUtbfEqJ+Po+cPBzBt62lk5hcp61jKzHA2owBf7zhTU6dBVbQl4SimzNmMYf3DsX3RCPg2dsd7I+cj63a+2vr37pWgvnsdjP7oNTg78lkYpDmtE/vw4cMxZMgQAEBYWBjOnDmD1atX4+jRoxg6dKhW+9q7dy+6du0Kd3d3SCQSbN68WdtwjN6vO/5C547PISy0JerXc8agD16DXG6OP/YcVVt/RFQPdOnUGg293VDPwwlRH3aFQhDwz78XlXXOnEvDi+380dzPG67ODnj5pUA0qO+Gc+ev1dRpkRrvPl8fm49cw9ZjN3AxqxCx287gXkkZurVU/4yFbi3dYWdpjpHr/sHxtFzcyL2HI5dzcC6jQFnnQOotzNt9Holn2Et/2i1an4jer4Xg7S7BaOLthtgRb8HSQoZ12w+pre/vWx/jBnVDt5eeg1ym05XJ9J/yVfG6bMZA68T+KC8vL/To0QMtWrTQum1hYSH8/f0xZ84cXcMwSiWlZUi9eB0BzRoqy6RSCfybNcSZc1c12kdRUQnKShWwtbFUlvk844mkI2dxKzsPgiDg+MmLuJ5+CwHNG+n9HEgztaQS+LjbIulCtrJMAJB0IRvN6zmobdO+qTNOXM3FqC5NET+iHdZ+8jz6t/U2mvtV0wPFJaU4cfYq2rZqoiyTSqVoG/gMjpy8bMDIxIWr4h8ye/ZsjXdY3pvXxCuvvIJXXnlF4/qmJi//DhQKAQ721irlDvbWuHY9S6N9LF/zBxxr28L/oV8OPur/Cn5YtA2RUd/CzEwKiUSCqAFd0cxX/VweVT8HK3PUkkqRXah6Q6fswmJ4O1mrbeNR2xKtGtRG/Il0DFt9DJ6OVvi8S1PUMpNg0Z6LatvQ0yk7txBlZQo41VYdUndytMX5KzcNFJX48JayD/n222812plEItEqsWurqKgIRUUP5hfz8ipfdCQGG7bsx76D/2Lq+P6QPTRUt+33JJxNvYovRrwDZ2cHnDx9GfOX7YBjbVsENG/4mD3S00QiAW4XlmDa1tNQCMCZG/lwtpWjbxsvJnYiqpRGif3ixafjH5HY2FhMmjTJ0GHojZ2tFaRSSYWFcjm5hXBwsHls203bDmDjlv2YPLYfGtR3VZYXFZdg5boEjInuhdYt7w/7NajviouX07Fp+wEmdgPJuVOCUoUCjtYylXJHaxluFRSrbXMrvxilCgUUwoOyS1mFcLKVo5ZUgtKH36CnmqO9NczMpBUWymVl58PZkbfhrilS6Db/rPPcdQ0xljgBAGPGjEFubq5yS0tLM3RIOjGvZYbGDdzxz8kLyjKFQsDxkxfg80y9Sttt3Po/rNu0FzGj3sMzDVUXXpWVKlBapqiwyEMqlUAQmAgMpVQh4Mz1fLRu6KgskwBo3dARJ67mqG3zT1oO6jlaqTx4on4dK2TmFzGpGxmZeS00b1IP/0s+qyxTKBT435FzeO5ZTpHVFF7H/hSSy+WQy+WGDkOvXu/yPOLmbUbjhu5o0sgDW377C/fuleClDgEAgG9/3ARHR1tEvBMGANi4ZT9WbUjEyKgecHV2wO2c+yukLSxksLSQwcpKjma+Xli6ehdkMnM4O9nj5OnL2L3vON5/r7OhTpMArP7rCmK6++H09TycvJaL3s/Xh6W5GbYeuwEAmNj9WWTm38OchPMAgI2Hr+KtIE+MeKUp1h9Kg2cdS/Rv6411SQ9+obU0N4On44OFk+61LdHE1Qa5d0uQkVcEenoMeDsUI2JXo3lTTwT4emHxz3tw524x3u4SDAAYNnUV3JzsMfqj1wDcX3B37lLGf/9fhoysXJw8dw3WljJ413M22HnQ08+oErspahfSDLl5d7B6QyJu5xSgoZcbJo7ug9r294fiM2/lQvLQMujf/jiM0tIyTI/7WWU/7/TogHd7hgIAPvu0J1asTcA3c35BQcFdODvZ4723X+QNagxs18kMOFiZ46PQhqhjI8fZ9HwMWXVUuaDOzd5CZVQlI68IQ346iuHhTbD6k2Bk5hVh7aE0rPjfJWUdX3c7zO8fqHwdHX5/+mXbseuY9Oupmjkx0ki3l1oiO6cAs5bEIzM7D36NPbBy5kfKa9SvZ9xWGWnLyMrDKx/MVL6ev3Y35q/djecDGmH97Kgaj98USCTQ6aoSI+mwQyIYcHy2oKAAqampAICWLVti1qxZ6NixIxwdHVG/fv0nts/Ly4O9vT02JZ2HtQ1v4GDqolf/Y+gQqAb9+TnvsiYG+Xl5aFTPCbm5udX22O/yXDFozd+QWz1+/dLjFN0pwI+9W1drrPpg0B774cOH0bFjR+Xr6OhoAEBERASWLVtmoKiIiIiMV5US+759+zB//nycP38eGzZsgIeHB1auXIkGDRqgbdu2Gu8nNDSUC7qIiKhGiOU6dq1XxW/cuBHh4eGwtLTE0aNHldeV5+bmYtq0aXoPkIiISB+kEt03Y6B1Yv/yyy8xb948LFy4EObmDx5e8cILL+DIkSN6DY6IiIi0o/VQfEpKCtq3b1+h3N7eHjk5OfqIiYiISO/42NZKuLm5KVeyP2z//v1o2JB3NSMioqcTn+5WiYEDB2Lo0KE4dOgQJBIJrl+/jlWrVmHkyJH45JNPqiNGIiIinUn1sBkDrYfiR48eDYVCgZdeegl37txB+/btIZfLMXLkSHz66afVESMRERFpSOvELpFIMG7cOHz22WdITU1FQUEB/Pz8YGNT9Yv+iYiIqptY5tirfIMamUwGPz8/fcZCRERUbaTQbZ5cCuPI7Fon9o4dOz72Iv0///xTp4CIiIio6rRO7AEBASqvS0pKcOzYMfz777+IiIjQV1xERER6xaH4Snz77bdqyydOnIiCggKdAyIiIqoOut49zmTvPFeZ9957D0uWLNHX7oiIiKgK9JbYDx48CAsLC33tjoiISK/uP4+96jenqepQ/Jw5c+Dt7Q0LCwsEBwcjKSlJo3Zr166FRCJB9+7dtTqe1kPxPXr0UHktCAJu3LiBw4cPY/z48drujoiIqEYYYo593bp1iI6Oxrx58xAcHIy4uDiEh4cjJSUFLi4ulba7dOkSRo4ciXbt2ml9TK177Pb29iqbo6MjQkNDsWPHDsTExGgdABERkamaNWsWBg4ciMjISPj5+WHevHmwsrJ67NR1WVkZ+vTpg0mTJlXpVu1a9djLysoQGRmJ5s2bo3bt2lofjIiIyFBqevFccXExkpOTMWbMmAf7kEoRFhaGgwcPVtpu8uTJcHFxwQcffIB9+/ZpHadWid3MzAydO3fG6dOnmdiJiMioSP77o0t7AMjLy1Mpl8vlkMvlFepnZWWhrKwMrq6uKuWurq44c+aM2mPs378fixcvxrFjx6ocp9ZD8c2aNcOFCxeqfEAiIiJDKO+x67IBgKenp8qUdGxsrF7iy8/PR9++fbFw4UI4OTlVeT9aL5778ssvMXLkSEyZMgWBgYGwtrZWed/Ozq7KwRARET3t0tLSVHKdut46ADg5OcHMzAwZGRkq5RkZGXBzc6tQ//z587h06RK6du2qLFMoFACAWrVqISUlBY0aNXpifBon9smTJ2PEiBHo0qULAKBbt24qt5YVBAESiQRlZWWa7pKIiKjG6GuO3c7OTqNOrEwmQ2BgIBISEpSXrCkUCiQkJCAqKqpCfR8fH5w4cUKl7IsvvkB+fj6+++47eHp6ahSnxol90qRJ+Pjjj7F7925NmxARET01JBLJY591okl7bUVHRyMiIgKtWrVCUFAQ4uLiUFhYiMjISABAv3794OHhgdjYWFhYWKBZs2Yq7R0cHACgQvnjaJzYBUEAAHTo0EHjnRMREYlZr169kJmZiQkTJiA9PR0BAQGIj49XLqi7cuUKpFK93SsOgJZz7Lr8pkNERGRIhrpXfFRUlNqhdwBITEx8bNtly5ZpfTytEnuTJk2emNyzs7O1DoKIiKi68eluakyaNAn29vbVFQsRERHpSKvE/s477zz23rZERERPq/KHuejS3hhonNg5v05ERMaMz2N/RPmqeCIiInp6adxjL7/7DRERkVHScfGcDreZr1Fa31KWiIjIGEkhgVSH7KxL25rExE5ERKIglsvd9Hu7GyIiIjIo9tiJiEgUxLIqnomdiIhEQSzXsXMonoiIyISwx05ERKIglsVzTOxERCQKUug4FG8kl7txKJ6IiMiEsMdORESiwKF4IiIiEyKFbsPUxjLEbSxxEhERkQbYYyciIlGQSCQ6PYLcWB5fzsRORESiIIFuD2gzjrTOxE5ERCLBO88RERGR0WGPnYiIRMM4+ty6YWInIiJREMt17ByKJyIiMiHssRMRkSjwcjciIiITwjvPERERkdFhj52IiESBQ/FEREQmRCx3nuNQPBERkQkxiR57fQcr2NhaGzoMqmZ/fNbB0CFQDWoyaL2hQ6AaIBTfqbFjcSieiIjIhIhlVTwTOxERiYJYeuzG8gsIERERaYA9diIiEgWuiiciIjIh5Q+B0WWrijlz5sDb2xsWFhYIDg5GUlJSpXV/+eUXtGrVCg4ODrC2tkZAQABWrlyp1fGY2ImIiKrJunXrEB0djZiYGBw5cgT+/v4IDw/HzZs31dZ3dHTEuHHjcPDgQRw/fhyRkZGIjIzE77//rvExmdiJiEgUpJDovGlr1qxZGDhwICIjI+Hn54d58+bBysoKS5YsUVs/NDQUb7zxBnx9fdGoUSMMHToULVq0wP79+7U4TyIiIhHQ11B8Xl6eylZUVKT2eMXFxUhOTkZYWJiyTCqVIiwsDAcPHnxivIIgICEhASkpKWjfvr3G58nETkREpAVPT0/Y29srt9jYWLX1srKyUFZWBldXV5VyV1dXpKenV7r/3Nxc2NjYQCaT4dVXX8X333+PTp06aRwfV8UTEZEoSP77o0t7AEhLS4OdnZ2yXC6X6xzbw2xtbXHs2DEUFBQgISEB0dHRaNiwIUJDQzVqz8RORESioMvK9vL2AGBnZ6eS2Cvj5OQEMzMzZGRkqJRnZGTAzc2t0nZSqRSNGzcGAAQEBOD06dOIjY3VOLFzKJ6IiKgayGQyBAYGIiEhQVmmUCiQkJCAkJAQjfejUCgqncdXhz12IiISBUkVV7Y/3F5b0dHRiIiIQKtWrRAUFIS4uDgUFhYiMjISANCvXz94eHgo5+ljY2PRqlUrNGrUCEVFRdixYwdWrlyJuXPnanxMJnYiIhIFfQ3Fa6NXr17IzMzEhAkTkJ6ejoCAAMTHxysX1F25cgVS6YPB88LCQgwaNAhXr16FpaUlfHx88NNPP6FXr16axykIgqB9qE+HvLw82NvbI/nsDdjYPnm+g4ybvZW5oUOgGuQzmI9tFQOh+A5y13+I3Nxcjeatq6I8V/ySdB7WNrZV3k9hQT56BDWq1lj1gXPsREREJoRD8UREJAr6utztacfETkREoiCV3N90aW8MOBRPRERkQthjJyIiUeBQPBERkQkxxOVuhsCheCIiIhPCHjsREYmCBLoNpxtJh52JnYiIxIGr4omIiMjosMdORESiwFXxREREJkQsq+KZ2ImISBQk0G0BnJHkdc6xExERmRL22ImISBSkkECqw3i61Ej67EzsREQkChyKJyIiIqPDHjsREYmDSLrsTOxERCQKYrmOnUPxREREJoQ9diIiEgcdb1BjJB12JnYiIhIHkUyxcyieiIjIlLDHTkRE4iCSLjsTOxERiYJYVsUzsRMRkSiI5elunGMnIiIyIeyxExGRKIhkip2JnYiIREIkmZ1D8URERCaEPXYiIhIFroonIiIyIVwVT0REREaHPXYiIhIFkaydY2InIiKREElm51A8ERGRCWFiJyIiUZDo4U9VzJkzB97e3rCwsEBwcDCSkpIqrbtw4UK0a9cOtWvXRu3atREWFvbY+uowsRMRkSiUr4rXZdPWunXrEB0djZiYGBw5cgT+/v4IDw/HzZs31dZPTExE7969sXv3bhw8eBCenp7o3Lkzrl27pvExmdiJiEgUJHrYtDVr1iwMHDgQkZGR8PPzw7x582BlZYUlS5aorb9q1SoMGjQIAQEB8PHxwaJFi6BQKJCQkKDxMZnYiYiItJCXl6eyFRUVqa1XXFyM5ORkhIWFKcukUinCwsJw8OBBjY51584dlJSUwNHRUeP4uCr+KbB26wEs37AHWbfz0aRhXYz+5HU0b1pfbd3Uy+n4ceVOnD53Dddv3sZnH3bFe2+0U6nzSkQsrt+8XaFtr9dCMHbwG9VyDqSZFZv2Y/7aP5GZnQ/fRu6YNLQHAny91NY9e/EGZi2Jx4mzabiWfhvjo7rjg7c6qNQ59M95LFjzJ06cvYqbt/Iw/8v3Ed6ueU2cCmmg/4tNMOgVXzjbW+LUldsYt+owjl28pbbuxlFhaOPjWqH8j3+uoW9cIgCgS6An+oU+g+bejnC0kSNswg6cTKv4d50qoadV8Z6enirFMTExmDhxYoXqWVlZKCsrg6ur6ufq6uqKM2fOaHTIUaNGwd3dXeWXgydhYjew+D3HMHPBVnzxaQ80b1ofqzbvwydfLMavCz9DHQebCvXv3StBPTdHdGrbAjMXbFW7z1XffQqFQlC+Tr2cjo/GLkSndi2q7Tzoybb+eRRfztmML6PfQks/Lyz5eQ/6jZyPP38aA6fathXq371XgvruddAl1B9Tftisdp937hbDt7EH3uoSjI/HL63mMyBtdAvywsR3nsOoFUk4eiELAzv5YM2Ijmg7Zitu5Vfs4X3ww16Ymz0YRK1tI0fC5C7Y+vcVZZmVrBYOnbuJLX9fxjeRz9fIeZgSfd1SNi0tDXZ2dspyuVyuc2zqTJ8+HWvXrkViYiIsLCw0bmfQofjY2Fi0bt0atra2cHFxQffu3ZGSkmLIkGrcyk370OOVYHTv3BqNvFzxxac9YCE3x+adf6ut36ypJ6IHvIZXQgMgM1f/e5mjgw2cHG2V295Dp+FZtw5aNW9YnadCT7BofSLeeS0Eb3cJxjPebpg64i1YWsiwfschtfX9fetj7Cfd0O2l5yCTqf+sOz7vi5EDuuDl9vyl7WnzUWcfrNqbinX7L+Ds9Tx8viIJd4vL0LtdI7X1cwqLkZl3T7l1eNYNd4vLsPXvy8o6Gw5exLdb/sXek+k1dRqkhp2dncpWWWJ3cnKCmZkZMjIyVMozMjLg5ub22GPMnDkT06dPx86dO9GihXZ/vw2a2Pfs2YPBgwfjr7/+wq5du1BSUoLOnTujsLDQkGHVmJKSUpw+dw3PBzRWlkmlUjwf8AyOn778mJbaHWP77iPo3rk1JMZyo2MTVFxSin/PXsULgU2UZVKpFC8EPoMjJ/XzWdPTw9xMihbejtj3UAIWBGDfqXQENnbSaB+92zfGr4cu4W5xWXWFKTo1vSpeJpMhMDBQZeFb+UK4kJCQStt9/fXXmDJlCuLj49GqVSutz9OgQ/Hx8fEqr5ctWwYXFxckJyejffv2Boqq5tzOK0SZQoE6jwzD1qltg4tX1V8Koa0/D55EfsE9dOsUqJf9UdXczi1EWZmiwpC7c21bnL+in8+anh6OtnLUMpMiM++eSnlm7j00drOrpNUDAQ3qwLeeA6KX/FVdIYqSIW48Fx0djYiICLRq1QpBQUGIi4tDYWEhIiMjAQD9+vWDh4cHYmNjAQBfffUVJkyYgNWrV8Pb2xvp6fd/ObSxsYGNTcXpWXWeqjn23NxcAKh09V9RUZHK6sO8vLwaicuYbfr9b7zQqilc6tgbOhQi0tC77RvhVNrtShfakfHo1asXMjMzMWHCBKSnpyMgIADx8fHKBXVXrlyBVPpg8Hzu3LkoLi5Gz549VfZT2QI9dZ6axK5QKDBs2DC88MILaNasmdo6sbGxmDRpUg1HVn1q21nDTCrFrdv5KuW3bheoXUylresZt3Ho2DnM+qKfzvsi3dS2t4aZmRRZj3zWmbfz4ez45B4cGZfs/CKUlingbKe64MnZ3gI38+4+tq2lzAyvB3lhxubj1RmiOBnoXvFRUVGIiopS+15iYqLK60uXLlXtIA95aq5jHzx4MP7991+sXbu20jpjxoxBbm6ucktLS6vBCPXP3LwWfJ/xwKFjqcoyhUKBQ8dS0aKSS6C08euuv+Fob4N2QT4674t0IzOvhWZN6uFA8lllmUKhwIEj5/Dcs7p/1vR0KSlT4PilbLT1e7BASiIB2vq6ITk167Ftu7b2gszcDBsPXKzuMEXHULeUrWlPRY89KioK27Ztw969e1GvXr1K68nl8mq7rMBQ+r7RDuO/WY9nn6mHZk098dPm/bhbVIzune4vmBg3cy1c6thjaOQrAO4vhiufky0pLcXNW7k4c/46rCxlqO/+YFGOQqHAr7sOo2tYIGqZmdX8iVEFA94OxYjY1Wju44kAHy8s3rAHd+4W461XggEA0VNXwdXZHqM+fA3A/QV35y7dX01bUlKGjKxcnDx3DdaWMnjXcwYAFN4pwqVrDxJF2o1bOHnuGhzsrODhWruGz5AeNn/nGXw3IAT/XLqFYxduYWBnH1jJzbB2/wUAwOwBIUjPuYtpG46ptHu3fSPEH0nD7cLiCvt0sJbBw9EarrUtAQCN6t4f7bmZe7fCfD6Jl0ETuyAI+PTTT7Fp0yYkJiaiQYMGhgzHIF7uEIDbuYX48aedyMrOR9NG7vhxygfKBXXpN3MgfWgp5s3sPPSKilO+Xr5xL5Zv3ItWzRti8dcfK8v/OpqKGzdz0L1z6xo7F3q8ri+2RHZOAb5dEo/M7Dz4NvbA8hkfwdnx/md97eZtSKQPPuuMrDy8OmCm8vWCtbuxYO1uBAc0wrrv7g/rHU9JQ+9hc5R1vpzzKwDgzZdb45sx79bEaVEltiRdRh1bOT7v7g9newucvHIb787ajaz/ErBHHWsoBEGlTSM3WwQ3cUGvGepvH9o5oB6+G/BgNfX8T9oCAGZuPo5vfj1RTWdiOqp6v/eH2xsDiSA88s2qQYMGDcLq1avx66+/omnTpspye3t7WFpaPrF9Xl4e7O3tkXz2BmxsOU9p6uytzA0dAtUgn8HrDR0C1QCh+A5y13+I3NxclZu+6JO+ckVBfh4Cm9St1lj1waBz7HPnzkVubi5CQ0NRt25d5bZu3TpDhkVERKbIEE+BMQCDD8UTERGR/jwVi+eIiIiqm77uFf+0Y2InIiJx0HHxnJHk9afnOnYiIiLSHXvsREQkCga68VyNY2InIiJxEElm51A8ERGRCWGPnYiIRIGr4omIiEyIWG4py6F4IiIiE8IeOxERiYJI1s4xsRMRkUiIJLMzsRMRkSiIZfEc59iJiIhMCHvsREQkChLouCpeb5FULyZ2IiISBZFMsXMonoiIyJSwx05ERKIglhvUMLETEZFIiGMwnkPxREREJoQ9diIiEgUOxRMREZkQcQzEcyieiIjIpLDHTkREosCheCIiIhMilnvFM7ETEZE4iGSSnXPsREREJoQ9diIiEgWRdNiZ2ImISBzEsniOQ/FEREQmhImdiIhEQaKHP1UxZ84ceHt7w8LCAsHBwUhKSqq07smTJ/Hmm2/C29sbEokEcXFxWh+PiZ2IiMRBoodNS+vWrUN0dDRiYmJw5MgR+Pv7Izw8HDdv3lRb/86dO2jYsCGmT58ONzc37Q8IJnYiIqJqM2vWLAwcOBCRkZHw8/PDvHnzYGVlhSVLlqit37p1a8yYMQPvvPMO5HJ5lY7JxE5ERKJQ0x324uJiJCcnIywsTFkmlUoRFhaGgwcP6nYyj8FV8UREJAr6WhWfl5enUi6Xy9X2rrOyslBWVgZXV1eVcldXV5w5c6bqgTwBe+xERERa8PT0hL29vXKLjY01dEgq2GMnIiKR0O1e8eWD8WlpabCzs1OWVjYX7uTkBDMzM2RkZKiUZ2RkVHlhnCbYYyciIlEoH4rXZQMAOzs7la2yxC6TyRAYGIiEhARlmUKhQEJCAkJCQqrtPNljJyIiqibR0dGIiIhAq1atEBQUhLi4OBQWFiIyMhIA0K9fP3h4eCiH84uLi3Hq1Cnl/1+7dg3Hjh2DjY0NGjdurNExmdiJiIiqSa9evZCZmYkJEyYgPT0dAQEBiI+PVy6ou3LlCqTSB4Pn169fR8uWLZWvZ86ciZkzZ6JDhw5ITEzU6JhM7EREJAqGuld8VFQUoqKi1L73aLL29vaGIAhVO9B/mNiJiEgUdLktbHl7Y8DFc0RERCaEPXYiIhIFsTy2lYmdiIhEoYrPcVFpbww4FE9ERGRC2GMnIiJxEEmXnYmdiIhEgaviiYiIyOiwx05ERKLAVfFEREQmRCRT7EzsREQkEiLJ7JxjJyIiMiHssRMRkSiIZVU8EzsREYkCF88ZgfJH2xUU5Bs4EqoJ0lJzQ4dANUgovmPoEKgGCCV37/9Xx0eVaiIvL8+g7WuKUSf2/Pz7Cb3Dc00MHAkREekiPz8f9vb21bJvmUwGNzc3PNPAU+d9ubm5QSaT6SGq6iMRauLXpGqiUChw/fp12NraQmIsYyR6kJeXB09PT6SlpcHOzs7Q4VA14mctHmL9rAVBQH5+Ptzd3SGVVt967nv37qG4uFjn/chkMlhYWOghoupj1D12qVSKevXqGToMg7GzsxPVPwBixs9aPMT4WVdXT/1hFhYWT31C1hde7kZERGRCmNiJiIhMCBO7EZLL5YiJiYFcLjd0KFTN+FmLBz9r0hejXjxHREREqthjJyIiMiFM7ERERCaEiZ2IiMiEMLETERGZECZ2IzNnzhx4e3vDwsICwcHBSEpKMnRIVA327t2Lrl27wt3dHRKJBJs3bzZ0SFRNYmNj0bp1a9ja2sLFxQXdu3dHSkqKocMiI8bEbkTWrVuH6OhoxMTE4MiRI/D390d4eDhu3rxp6NBIzwoLC+Hv7485c+YYOhSqZnv27MHgwYPx119/YdeuXSgpKUHnzp1RWFho6NDISPFyNyMSHByM1q1b44cffgBw/175np6e+PTTTzF69GgDR0fVRSKRYNOmTejevbuhQ6EakJmZCRcXF+zZswft27c3dDhkhNhjNxLFxcVITk5GWFiYskwqlSIsLAwHDx40YGREpE+5ubkAAEdHRwNHQsaKid1IZGVloaysDK6urirlrq6uSE9PN1BURKRPCoUCw4YNwwsvvIBmzZoZOhwyUkb9dDciIlMyePBg/Pvvv9i/f7+hQyEjxsRuJJycnGBmZoaMjAyV8oyMDLi5uRkoKiLSl6ioKGzbtg179+4V9eOoSXccijcSMpkMgYGBSEhIUJYpFAokJCQgJCTEgJERkS4EQUBUVBQ2bdqEP//8Ew0aNDB0SGTk2GM3ItHR0YiIiECrVq0QFBSEuLg4FBYWIjIy0tChkZ4VFBQgNTVV+frixYs4duwYHB0dUb9+fQNGRvo2ePBgrF69Gr/++itsbW2Va2bs7e1haWlp4OjIGPFyNyPzww8/YMaMGUhPT0dAQABmz56N4OBgQ4dFepaYmIiOHTtWKI+IiMCyZctqPiCqNhKJRG350qVL0b9//5oNhkwCEzsREZEJ4Rw7ERGRCWFiJyIiMiFM7ERERCaEiZ2IiMiEMLETERGZECZ2IiIiE8LETkREZEKY2Il01L9/f5VnpYeGhmLYsGE1HkdiYiIkEglycnIqrSORSLB582aN9zlx4kQEBAToFNelS5cgkUhw7NgxnfZDRJphYieT1L9/f0gkEkgkEshkMjRu3BiTJ09GaWlptR/7l19+wZQpUzSqq0kyJiLSBu8VTybr5ZdfxtKlS1FUVIQdO3Zg8ODBMDc3x5gxYyrULS4uhkwm08txHR0d9bIfIqKqYI+dTJZcLoebmxu8vLzwySefICwsDFu2bAHwYPh86tSpcHd3R9OmTQEAaWlpePvtt+Hg4ABHR0e8/vrruHTpknKfZWVliI6OhoODA+rUqYPPP/8cj96V+dGh+KKiIowaNQqenp6Qy+Vo3LgxFi9ejEuXLinvB1+7dm1IJBLlvcEVCgViY2PRoEEDWFpawt/fHxs2bFA5zo4dO9CkSRNYWlqiY8eOKnFqatSoUWjSpAmsrKzQsGFDjB8/HiUlJRXqzZ8/H56enrCyssLbb7+N3NxclfcXLVoEX19fWFhYwMfHBz/++KPWsRCRfjCxk2hYWlqiuLhY+TohIQEpKSnYtWsXtm3bhpKSEoSHh8PW1hb79u3D//73P9jY2ODll19Wtvvmm2+wbNkyLFmyBPv370d2djY2bdr02OP269cPa9aswezZs3H69GnMnz8fNjY28PT0xMaNGwEAKSkpuHHjBr777jsAQGxsLFasWIF58+bh5MmTGD58ON577z3s2bMHwP1fQHr06IGuXbvi2LFjGDBgAEaPHq31z8TW1hbLli3DqVOn8N1332HhwoX49ttvVeqkpqZi/fr12Lp1K+Lj43H06FEMGjRI+f6qVaswYcIETJ06FadPn8a0adMwfvx4LF++XOt4iEgPBCITFBERIbz++uuCIAiCQqEQdu3aJcjlcmHkyJHK911dXYWioiJlm5UrVwpNmzYVFAqFsqyoqEiwtLQUfv/9d0EQBKFu3brC119/rXy/pKREqFevnvJYgiAIHTp0EIYOHSoIgiCkpKQIAIRdu3apjXP37t0CAOH27dvKsnv37glWVlbCgQMHVOp+8MEHQu/evQVBEIQxY8YIfn5+Ku+PGjWqwr4eBUDYtGlTpe/PmDFDCAwMVL6OiYkRzMzMhKtXryrLfvvtN0EqlQo3btwQBEEQGjVqJKxevVplP1OmTBFCQkIEQRCEixcvCgCEo0ePVnpcItIfzrGTydq2bRtsbGxQUlIChUKBd999FxMnTlS+37x5c5V59X/++QepqamwtbVV2c+9e/dw/vx55Obm4saNGyqPya1VqxZatWpVYTi+3LFjx2BmZoYOHTpoHHdqairu3LmDTp06qZQXFxejZcuWAIDTp09XeFxvSEiIxscot27dOsyePRvnz59HQUEBSktLYWdnp1Knfv368PDwUDmOQqFASkoKbG1tcf78eXzwwQcYOHCgsk5paSns7e21joeIdMfETiarY8eOmDt3LmQyGdzd3VGrlurX3draWuV1QUEBAgMDsWrVqgr7cnZ2rlIMlpaWWrcpKCgAAGzfvl0loQL31w3oy8GDB9GnTx9MmjQJ4eHhsLe3x9q1a/HNN99oHevChQsr/KJhZmamt1iJSHNM7GSyrK2t0bhxY43rP/fcc1i3bh1cXFwq9FrL1a1bF4cOHUL79u0B3O+ZJicn47nnnlNbv3nz5lAoFNizZw/CwsIqvF8+YlBWVqYs8/Pzg1wux5UrVyrt6fv6+ioXApb766+/nnySDzlw4AC8vLwwbtw4Zdnly5cr1Lty5QquX78Od3d35XGkUimaNm0KV1dXuLu748KFC+jTp49Wxyei6sHFc0T/6dOnD5ycnPD6669j3759uHjxIhITEzFkyBBcvXoVADB06FBMnz4dmzdvxpkzZzBo0KDHXoPu7e2NiIgIvP/++9i8ebNyn+vXrwcAeHl5QSKRYNu2bcjMzERBQQFsbW0xcuRIDB8+HMuXL8f58+dx5MgRfP/998oFaR9//DHOnTuHzz77DCkpKVi9ejWWLVum1fk+88wzuHLlCtauXYvz589j9uzZahcCWlhYICIiAv/88w/27duHIUOG4O2334abmxsAYNKkSYiNjcXs2bNx9uxZnDhxAkuXLsWsWbO0ioeI9IOJneg/VlZW2Lt3L+rXr48ePXrA19cXH3zwAe7du6fswY8YMQJ9+/ZFREQEQkJCYGtrizfeeOOx+507dy569uyJQYMGwcfHBwMHDkRhYSEAwMPDA5MmTcLo0aPh6uqKqKgoAMCUKVMwfvx4xMbGwtfXFy+//DK2b9+OBg0aALg/771x40Zs3rwZ/v7+mDdvHqZNm6bV+Xbr1g3Dhw9HVFQUAgICcODAAYwfP75CvcaNG6NHjx7o0qULOnfujBYtWqhczjZgwAAsWrQIS5cuRfPmzdGhQwcsW7ZMGSsR1SyJUNmqHyIiIjI67LETERGZECZ2IiIiE8LETkREZEKY2ImIiEwIEzsREZEJYWInIiIyIUzsREREJoSJnYiIyIQwsRMREZkQJnYiIiITwsRORERkQpjYiYiITMj/Aaqm2i2HrJ2XAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "grid_search_xgb.fit(X_train,y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2M32k0nnpT9V",
        "outputId": "fd4507de-604e-4150-9206-121ca1c3345a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n",
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting 5 folds for each of 1600 candidates, totalling 8000 fits\n",
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=50;, score=0.440 total time=   1.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=50;, score=0.437 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=50;, score=0.461 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=50;, score=0.459 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=50;, score=0.438 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=100;, score=0.445 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=100;, score=0.445 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=100;, score=0.461 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=100;, score=0.471 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=100;, score=0.444 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=150;, score=0.447 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=150;, score=0.446 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=150;, score=0.467 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=150;, score=0.471 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=150;, score=0.449 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=200;, score=0.446 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=200;, score=0.448 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=200;, score=0.469 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=200;, score=0.474 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=3, n_estimators=200;, score=0.450 total time=   4.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=50;, score=0.439 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=50;, score=0.442 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=50;, score=0.475 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=50;, score=0.463 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=50;, score=0.445 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=100;, score=0.459 total time=   0.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=100;, score=0.450 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=100;, score=0.473 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=100;, score=0.478 total time=   0.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=100;, score=0.454 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=150;, score=0.462 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=150;, score=0.452 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=150;, score=0.484 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=150;, score=0.473 total time=   2.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=150;, score=0.465 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=200;, score=0.460 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=200;, score=0.451 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=200;, score=0.489 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=200;, score=0.480 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=4, n_estimators=200;, score=0.478 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50;, score=0.447 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50;, score=0.441 total time=   1.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50;, score=0.482 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50;, score=0.473 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=50;, score=0.465 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=100;, score=0.460 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=100;, score=0.450 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=100;, score=0.490 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=100;, score=0.480 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=100;, score=0.480 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=150;, score=0.463 total time=   1.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=150;, score=0.441 total time=   1.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=150;, score=0.492 total time=   1.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=150;, score=0.482 total time=   2.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=150;, score=0.481 total time=   1.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=200;, score=0.467 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=200;, score=0.451 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=200;, score=0.497 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=200;, score=0.487 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=5, n_estimators=200;, score=0.483 total time=   4.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50;, score=0.453 total time=   1.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50;, score=0.445 total time=   2.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50;, score=0.485 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50;, score=0.482 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=50;, score=0.472 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=100;, score=0.462 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=100;, score=0.448 total time=   2.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=100;, score=0.494 total time=   1.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=100;, score=0.490 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=100;, score=0.483 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=150;, score=0.467 total time=   1.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=150;, score=0.448 total time=   1.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=150;, score=0.495 total time=   1.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=150;, score=0.485 total time=   2.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=150;, score=0.485 total time=   2.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=200;, score=0.463 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=200;, score=0.456 total time=   2.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=200;, score=0.499 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=200;, score=0.490 total time=   2.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=6, n_estimators=200;, score=0.486 total time=   3.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50;, score=0.464 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50;, score=0.453 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50;, score=0.486 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50;, score=0.487 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=50;, score=0.478 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=100;, score=0.467 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=100;, score=0.446 total time=   1.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=100;, score=0.495 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=100;, score=0.487 total time=   1.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=100;, score=0.483 total time=   2.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=150;, score=0.466 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=150;, score=0.456 total time=   1.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=150;, score=0.499 total time=   1.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=150;, score=0.492 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=150;, score=0.482 total time=   3.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=200;, score=0.468 total time=   2.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=200;, score=0.461 total time=   2.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=200;, score=0.500 total time=   2.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=200;, score=0.492 total time=   3.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.01, max_depth=7, n_estimators=200;, score=0.481 total time=   5.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=50;, score=0.462 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=50;, score=0.464 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=50;, score=0.493 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=50;, score=0.493 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=50;, score=0.475 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=100;, score=0.489 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=100;, score=0.468 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=100;, score=0.503 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=100;, score=0.512 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=100;, score=0.486 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=150;, score=0.496 total time=   2.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=150;, score=0.471 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=150;, score=0.503 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=150;, score=0.517 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=150;, score=0.499 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=200;, score=0.497 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=200;, score=0.470 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=200;, score=0.502 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=200;, score=0.524 total time=   5.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=3, n_estimators=200;, score=0.502 total time=   1.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=50;, score=0.464 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=50;, score=0.463 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=50;, score=0.506 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=50;, score=0.492 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=50;, score=0.486 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=100;, score=0.494 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=100;, score=0.467 total time=   0.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=100;, score=0.502 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=100;, score=0.518 total time=   2.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=100;, score=0.497 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=150;, score=0.497 total time=   2.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=150;, score=0.466 total time=   2.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=150;, score=0.501 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=150;, score=0.529 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=150;, score=0.505 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=200;, score=0.499 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=200;, score=0.462 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=200;, score=0.500 total time=   2.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=200;, score=0.530 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=4, n_estimators=200;, score=0.502 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50;, score=0.467 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50;, score=0.466 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50;, score=0.502 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50;, score=0.491 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=50;, score=0.492 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=100;, score=0.487 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=100;, score=0.472 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=100;, score=0.502 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=100;, score=0.516 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=100;, score=0.495 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=150;, score=0.501 total time=   1.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=150;, score=0.465 total time=   1.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=150;, score=0.500 total time=   1.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=150;, score=0.509 total time=   1.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=150;, score=0.500 total time=   1.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=200;, score=0.493 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=200;, score=0.464 total time=   3.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=200;, score=0.500 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=200;, score=0.518 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=5, n_estimators=200;, score=0.503 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50;, score=0.467 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50;, score=0.464 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50;, score=0.503 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50;, score=0.505 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=50;, score=0.493 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=100;, score=0.489 total time=   2.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=100;, score=0.478 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=100;, score=0.500 total time=   3.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=100;, score=0.510 total time=   2.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=100;, score=0.501 total time=   2.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=150;, score=0.490 total time=   5.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=150;, score=0.475 total time=   2.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=150;, score=0.512 total time=   1.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=150;, score=0.515 total time=   1.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=150;, score=0.499 total time=   2.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=200;, score=0.495 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=200;, score=0.478 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=200;, score=0.510 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=200;, score=0.521 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=6, n_estimators=200;, score=0.498 total time=   3.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50;, score=0.475 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50;, score=0.469 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50;, score=0.503 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50;, score=0.495 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=50;, score=0.493 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=100;, score=0.484 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=100;, score=0.473 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=100;, score=0.500 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=100;, score=0.504 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=100;, score=0.497 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=150;, score=0.492 total time=   3.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=150;, score=0.482 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=150;, score=0.505 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=150;, score=0.515 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=150;, score=0.504 total time=   6.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=200;, score=0.496 total time=   7.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=200;, score=0.480 total time=   7.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=200;, score=0.508 total time=   5.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=200;, score=0.525 total time=   4.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.1, max_depth=7, n_estimators=200;, score=0.503 total time=   6.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=50;, score=0.471 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=50;, score=0.461 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=50;, score=0.505 total time=   3.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=50;, score=0.515 total time=   2.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=50;, score=0.487 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=100;, score=0.496 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=100;, score=0.462 total time=   2.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=100;, score=0.502 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=100;, score=0.528 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=100;, score=0.500 total time=   3.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=150;, score=0.499 total time=   5.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=150;, score=0.466 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=150;, score=0.500 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=150;, score=0.520 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=150;, score=0.493 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=200;, score=0.511 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=200;, score=0.469 total time=   1.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=200;, score=0.509 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=200;, score=0.534 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=3, n_estimators=200;, score=0.499 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=50;, score=0.490 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=50;, score=0.463 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=50;, score=0.503 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=50;, score=0.517 total time=   3.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=50;, score=0.498 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=100;, score=0.498 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=100;, score=0.469 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=100;, score=0.493 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=100;, score=0.523 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=100;, score=0.503 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=150;, score=0.504 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=150;, score=0.472 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=150;, score=0.496 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=150;, score=0.527 total time=   2.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=150;, score=0.506 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=200;, score=0.506 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=200;, score=0.469 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=200;, score=0.504 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=200;, score=0.530 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=4, n_estimators=200;, score=0.505 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=50;, score=0.494 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=50;, score=0.466 total time=   1.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=50;, score=0.508 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=50;, score=0.508 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=50;, score=0.503 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=100;, score=0.504 total time=   1.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=100;, score=0.473 total time=   4.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=100;, score=0.505 total time=   1.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=100;, score=0.527 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=100;, score=0.501 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=150;, score=0.497 total time=   1.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=150;, score=0.468 total time=   1.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=150;, score=0.504 total time=   1.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=150;, score=0.524 total time=   1.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=150;, score=0.512 total time=   1.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=200;, score=0.505 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=200;, score=0.480 total time=   3.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=200;, score=0.504 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=200;, score=0.528 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=5, n_estimators=200;, score=0.509 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=50;, score=0.493 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=50;, score=0.482 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=50;, score=0.504 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=50;, score=0.520 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=50;, score=0.517 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=100;, score=0.502 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=100;, score=0.475 total time=   2.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=100;, score=0.519 total time=   1.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=100;, score=0.521 total time=   1.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=100;, score=0.508 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=150;, score=0.499 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=150;, score=0.484 total time=   1.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=150;, score=0.510 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=150;, score=0.526 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=150;, score=0.511 total time=   2.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=200;, score=0.508 total time=   2.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=200;, score=0.468 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=200;, score=0.516 total time=   2.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=200;, score=0.522 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=6, n_estimators=200;, score=0.509 total time=   3.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=50;, score=0.506 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=50;, score=0.479 total time=   0.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=50;, score=0.505 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=50;, score=0.510 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=50;, score=0.503 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=100;, score=0.506 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=100;, score=0.477 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=100;, score=0.510 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=100;, score=0.521 total time=   4.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=100;, score=0.503 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=150;, score=0.502 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=150;, score=0.472 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=150;, score=0.503 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=150;, score=0.525 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=150;, score=0.515 total time=   3.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=200;, score=0.504 total time=   2.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=200;, score=0.461 total time=   2.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=200;, score=0.520 total time=   2.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=200;, score=0.522 total time=   2.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.2, max_depth=7, n_estimators=200;, score=0.509 total time=   3.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=50;, score=0.499 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=50;, score=0.463 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=50;, score=0.502 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=50;, score=0.522 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=50;, score=0.503 total time=   0.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=100;, score=0.504 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=100;, score=0.463 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=100;, score=0.497 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=100;, score=0.527 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=100;, score=0.503 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=150;, score=0.507 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=150;, score=0.473 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=150;, score=0.503 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=150;, score=0.524 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=150;, score=0.501 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=200;, score=0.516 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=200;, score=0.467 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=200;, score=0.508 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=200;, score=0.528 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=3, n_estimators=200;, score=0.508 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=50;, score=0.492 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=50;, score=0.463 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=50;, score=0.507 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=50;, score=0.511 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=50;, score=0.499 total time=   0.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=100;, score=0.504 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=100;, score=0.476 total time=   1.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=100;, score=0.507 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=100;, score=0.530 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=100;, score=0.499 total time=   0.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=150;, score=0.506 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=150;, score=0.473 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=150;, score=0.504 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=150;, score=0.526 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=150;, score=0.512 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=200;, score=0.510 total time=   4.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=200;, score=0.464 total time=   5.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=200;, score=0.500 total time=   3.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=200;, score=0.531 total time=   4.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=4, n_estimators=200;, score=0.497 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=50;, score=0.502 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=50;, score=0.483 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=50;, score=0.507 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=50;, score=0.525 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=50;, score=0.505 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=100;, score=0.501 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=100;, score=0.485 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=100;, score=0.504 total time=   7.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=100;, score=0.537 total time=   4.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=100;, score=0.496 total time=   0.9s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=150;, score=0.504 total time=   5.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=150;, score=0.470 total time=   1.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=150;, score=0.498 total time=   1.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=150;, score=0.530 total time=   1.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=150;, score=0.507 total time=   1.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=200;, score=0.497 total time=   1.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=200;, score=0.457 total time=   3.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=200;, score=0.505 total time=   1.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=200;, score=0.531 total time=   1.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=5, n_estimators=200;, score=0.506 total time=   4.4s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=50;, score=0.501 total time=   3.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=50;, score=0.470 total time=   1.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=50;, score=0.500 total time=   1.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=50;, score=0.518 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=50;, score=0.499 total time=   0.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=100;, score=0.507 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=100;, score=0.470 total time=   1.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=100;, score=0.508 total time=   1.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=100;, score=0.522 total time=   1.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=100;, score=0.504 total time=   2.3s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=150;, score=0.499 total time=   1.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=150;, score=0.465 total time=   1.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=150;, score=0.515 total time=   1.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=150;, score=0.515 total time=   1.5s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=150;, score=0.497 total time=   1.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=200;, score=0.498 total time=   4.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=200;, score=0.456 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=200;, score=0.510 total time=   2.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=200;, score=0.516 total time=   2.0s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=6, n_estimators=200;, score=0.503 total time=   2.1s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=7, n_estimators=50;, score=0.497 total time=   1.8s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=7, n_estimators=50;, score=0.466 total time=   0.7s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=7, n_estimators=50;, score=0.505 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=7, n_estimators=50;, score=0.517 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=7, n_estimators=50;, score=0.507 total time=   0.6s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 1/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=7, n_estimators=100;, score=0.509 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 2/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=7, n_estimators=100;, score=0.469 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 3/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=7, n_estimators=100;, score=0.502 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 4/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=7, n_estimators=100;, score=0.519 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CV 5/5] END colsample_bytree=0.3, gamma=0, learning_rate=0.3, max_depth=7, n_estimators=100;, score=0.503 total time=   1.2s\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
            "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clf = XGBClassifier(num_class=3,\n",
        "                    learning_rate=0.1,\n",
        "                    max_depth=5,\n",
        "                    eval_metric='mlogloss')\n",
        "clf.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 307
        },
        "id": "CC48v6PUk1vT",
        "outputId": "62379d65-2f68-489d-a988-7eb333eece4f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[15:35:14] WARNING: ../src/learner.cc:767: \n",
            "Parameters: { \"boosting\" } are not used.\n",
            "\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "XGBClassifier(base_score=None, booster=None, boosting='gbdt', callbacks=None,\n",
              "              colsample_bylevel=None, colsample_bynode=None,\n",
              "              colsample_bytree=None, early_stopping_rounds=None,\n",
              "              enable_categorical=False, eval_metric='mlogloss',\n",
              "              feature_types=None, gamma=None, gpu_id=None, grow_policy=None,\n",
              "              importance_type=None, interaction_constraints=None,\n",
              "              learning_rate=0.1, max_bin=None, max_cat_threshold=None,\n",
              "              max_cat_to_onehot=None, max_delta_step=None, max_depth=5,\n",
              "              max_leaves=None, min_child_weight=None, missing=nan,\n",
              "              monotone_constraints=None, n_estimators=100, n_jobs=None,\n",
              "              num_class=3, num_parallel_tree=None, ...)"
            ],
            "text/html": [
              "<style>#sk-container-id-6 {color: black;background-color: white;}#sk-container-id-6 pre{padding: 0;}#sk-container-id-6 div.sk-toggleable {background-color: white;}#sk-container-id-6 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-6 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-6 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-6 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-6 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-6 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-6 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-6 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-6 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-6 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-6 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-6 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-6 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-6 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-6 div.sk-item {position: relative;z-index: 1;}#sk-container-id-6 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-6 div.sk-item::before, #sk-container-id-6 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-6 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-6 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-6 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-6 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-6 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-6 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-6 div.sk-label-container {text-align: center;}#sk-container-id-6 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-6 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-6\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>XGBClassifier(base_score=None, booster=None, boosting=&#x27;gbdt&#x27;, callbacks=None,\n",
              "              colsample_bylevel=None, colsample_bynode=None,\n",
              "              colsample_bytree=None, early_stopping_rounds=None,\n",
              "              enable_categorical=False, eval_metric=&#x27;mlogloss&#x27;,\n",
              "              feature_types=None, gamma=None, gpu_id=None, grow_policy=None,\n",
              "              importance_type=None, interaction_constraints=None,\n",
              "              learning_rate=0.1, max_bin=None, max_cat_threshold=None,\n",
              "              max_cat_to_onehot=None, max_delta_step=None, max_depth=5,\n",
              "              max_leaves=None, min_child_weight=None, missing=nan,\n",
              "              monotone_constraints=None, n_estimators=100, n_jobs=None,\n",
              "              num_class=3, num_parallel_tree=None, ...)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" checked><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">XGBClassifier</label><div class=\"sk-toggleable__content\"><pre>XGBClassifier(base_score=None, booster=None, boosting=&#x27;gbdt&#x27;, callbacks=None,\n",
              "              colsample_bylevel=None, colsample_bynode=None,\n",
              "              colsample_bytree=None, early_stopping_rounds=None,\n",
              "              enable_categorical=False, eval_metric=&#x27;mlogloss&#x27;,\n",
              "              feature_types=None, gamma=None, gpu_id=None, grow_policy=None,\n",
              "              importance_type=None, interaction_constraints=None,\n",
              "              learning_rate=0.1, max_bin=None, max_cat_threshold=None,\n",
              "              max_cat_to_onehot=None, max_delta_step=None, max_depth=5,\n",
              "              max_leaves=None, min_child_weight=None, missing=nan,\n",
              "              monotone_constraints=None, n_estimators=100, n_jobs=None,\n",
              "              num_class=3, num_parallel_tree=None, ...)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 63
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "accuracy_score(y_test, clf.predict(X_test)), \\\n",
        "precision_score(y_test, clf.predict(X_test),average='weighted'), \\\n",
        "recall_score(y_test, clf.predict(X_test),average='weighted'), \\\n",
        "f1_score(y_test, clf.predict(X_test),average='weighted')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2aTN3PoqniDR",
        "outputId": "fe771602-bd56-467f-848c-ff942e492496"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(0.5535320088300221,\n",
              " 0.5493160221911345,\n",
              " 0.5535320088300221,\n",
              " 0.5457697562512207)"
            ]
          },
          "metadata": {},
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "y_pred = clf.predict(X_test)\n",
        "cm = confusion_matrix(y_test, y_pred, normalize='true')\n",
        "disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=clf.classes_)\n",
        "disp.plot(cmap=plt.cm.Blues)\n",
        "plt.title('Normalized Confusion Matrix')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "IK8odYminqZ-",
        "outputId": "c6db97be-3858-4baf-bf42-59893b300468"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Despliegue"
      ],
      "metadata": {
        "id": "IoEicyabhUwC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "! pip install gradio"
      ],
      "metadata": {
        "id": "Q6CtdSV6hazk",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b1c64472-93f2-4955-e916-8a255fdd97d3"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting gradio\n",
            "  Downloading gradio-3.35.2-py3-none-any.whl (19.7 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.7/19.7 MB\u001b[0m \u001b[31m50.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting aiofiles (from gradio)\n",
            "  Downloading aiofiles-23.1.0-py3-none-any.whl (14 kB)\n",
            "Collecting aiohttp (from gradio)\n",
            "  Downloading aiohttp-3.8.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.0 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.0/1.0 MB\u001b[0m \u001b[31m64.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: altair>=4.2.0 in /usr/local/lib/python3.10/dist-packages (from gradio) (4.2.2)\n",
            "Collecting fastapi (from gradio)\n",
            "  Downloading fastapi-0.97.0-py3-none-any.whl (56 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.0/57.0 kB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting ffmpy (from gradio)\n",
            "  Downloading ffmpy-0.3.0.tar.gz (4.8 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting gradio-client>=0.2.7 (from gradio)\n",
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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m288.4/288.4 kB\u001b[0m \u001b[31m29.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "Building wheels for collected packages: ffmpy\n",
            "  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "Installing collected packages: pydub, ffmpy, websockets, uc-micro-py, semantic-version, python-multipart, orjson, multidict, h11, frozenlist, async-timeout, aiofiles, yarl, uvicorn, starlette, mdit-py-plugins, linkify-it-py, huggingface-hub, httpcore, aiosignal, httpx, fastapi, aiohttp, gradio-client, gradio\n",
            "Successfully installed aiofiles-23.1.0 aiohttp-3.8.4 aiosignal-1.3.1 async-timeout-4.0.2 fastapi-0.97.0 ffmpy-0.3.0 frozenlist-1.3.3 gradio-3.35.2 gradio-client-0.2.7 h11-0.14.0 httpcore-0.17.2 httpx-0.24.1 huggingface-hub-0.15.1 linkify-it-py-2.0.2 mdit-py-plugins-0.3.3 multidict-6.0.4 orjson-3.9.1 pydub-0.25.1 python-multipart-0.0.6 semantic-version-2.10.0 starlette-0.27.0 uc-micro-py-1.0.2 uvicorn-0.22.0 websockets-11.0.3 yarl-1.9.2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import gradio as gr\n",
        "\n",
        "mapper = {\n",
        "    0: 'Negativo',\n",
        "    1: 'Neutral',\n",
        "    2: 'Positivo'\n",
        "}\n",
        "\n",
        "def predict(input):\n",
        "    return mapper[clf.predict(vectorize([preprocess_text('Te odio')], is_train=False))[0]]\n",
        "\n",
        "demo = gr.Interface(\n",
        "    fn=predict,\n",
        "    inputs=gr.Textbox(lines=2, placeholder=\"Tu texto aquí\"),\n",
        "    outputs=\"text\",\n",
        ")\n",
        "demo.launch()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 625
        },
        "id": "BOWCvu1FhX7U",
        "outputId": "27ac2b8c-93c6-4ad5-c21c-5bcc90815664"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
            "Note: opening Chrome Inspector may crash demo inside Colab notebooks.\n",
            "\n",
            "To create a public link, set `share=True` in `launch()`.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "(async (port, path, width, height, cache, element) => {\n",
              "                        if (!google.colab.kernel.accessAllowed && !cache) {\n",
              "                            return;\n",
              "                        }\n",
              "                        element.appendChild(document.createTextNode(''));\n",
              "                        const url = await google.colab.kernel.proxyPort(port, {cache});\n",
              "\n",
              "                        const external_link = document.createElement('div');\n",
              "                        external_link.innerHTML = `\n",
              "                            <div style=\"font-family: monospace; margin-bottom: 0.5rem\">\n",
              "                                Running on <a href=${new URL(path, url).toString()} target=\"_blank\">\n",
              "                                    https://localhost:${port}${path}\n",
              "                                </a>\n",
              "                            </div>\n",
              "                        `;\n",
              "                        element.appendChild(external_link);\n",
              "\n",
              "                        const iframe = document.createElement('iframe');\n",
              "                        iframe.src = new URL(path, url).toString();\n",
              "                        iframe.height = height;\n",
              "                        iframe.allow = \"autoplay; camera; microphone; clipboard-read; clipboard-write;\"\n",
              "                        iframe.width = width;\n",
              "                        iframe.style.border = 0;\n",
              "                        element.appendChild(iframe);\n",
              "                    })(7862, \"/\", \"100%\", 500, false, window.element)"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "In-QseH5OJKG"
      },
      "source": [
        "# Similitud coseno\n",
        "\n",
        "Para cada documento (el número de filas de la matriz), podemos calcular la similitud coseno entre el primer documento (*\"El cielo es azul\"*) con cada uno de los otros documentos del conjunto:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "71BEjldSOJKG",
        "outputId": "75d58ea5-2d18-4ba4-fd2b-0d19ff364cb6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[1.         0.4472136  0.66666667 0.66666667]]\n",
            "[[1.         0.22792115 0.58554004 0.48795004]]\n",
            "[[1.         0.3159481  0.55160457 0.59113512]]\n"
          ]
        }
      ],
      "source": [
        "from sklearn.metrics.pairwise import cosine_similarity\n",
        "sim_cosenoTF=cosine_similarity(matrizBOW[0:1], matrizBOW)\n",
        "sim_cosenoTF_bigramas=cosine_similarity(matriz_bigramas[0:1], matriz_bigramas)\n",
        "sim_cosenoTFIDF=cosine_similarity(matriz_tfidf[0:1], matriz_tfidf)\n",
        "print(sim_cosenoTF)\n",
        "print(sim_cosenoTF_bigramas)\n",
        "print(sim_cosenoTFIDF)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xkYBlSvfOJKH"
      },
      "source": [
        "**Nota:** matrizBOW[0:1] es la operación de Scipy para obtener la primera fila de la matriz dispersa y la matriz resultante es la similitud de coseno entre el primer documento con todos los documentos del corpus. Tener en cuenta que el primer valor de la matriz es 1.0 porque es la similitud de coseno entre el primer documento consigo mismo. También tener en cuenta que debido a la presencia de palabras similares en el cuarto documento (\"El sol brilla en el cielo azul\"), logró una mejor puntuación utilizando la matriz TF-IDF."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Clasificación usando vectores de palabras (pre-entrenados)"
      ],
      "metadata": {
        "id": "Ru6Bb4eMV9Rz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install gensim\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Cky8udcfWDHu",
        "outputId": "1b21f43f-c672-4733-e98b-a13b4223aa6a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: gensim in /usr/local/lib/python3.10/dist-packages (4.3.1)\n",
            "Requirement already satisfied: numpy>=1.18.5 in /usr/local/lib/python3.10/dist-packages (from gensim) (1.22.4)\n",
            "Requirement already satisfied: scipy>=1.7.0 in /usr/local/lib/python3.10/dist-packages (from gensim) (1.10.1)\n",
            "Requirement already satisfied: smart-open>=1.8.1 in /usr/local/lib/python3.10/dist-packages (from gensim) (6.3.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from gensim.models import KeyedVectors\n",
        "from gensim.test.utils import datapath\n",
        "wv_from_text = KeyedVectors.load_word2vec_format(datapath('/content/gdrive/MyDrive/Meia2023/Modulo2-ClasificacionTextos/cc.es.300.vec'), binary=False)  # C text format\n"
      ],
      "metadata": {
        "id": "5rwOLLhEWKO5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Construimos vectores para cada documento del conjunto de entrenamiento usando los valores promedios de todos los vectores de palabra del tweet\n",
        "def buildWordVectorKeyed(model, text, size):\n",
        "    vec = np.zeros(size).reshape((1, size))\n",
        "    count = 0\n",
        "    oov=0\n",
        "    for word in nltk.word_tokenize(text):\n",
        "        try:\n",
        "            vec += model[word].reshape((1, size))\n",
        "            count += 1.\n",
        "        except KeyError:\n",
        "            oov+= 1\n",
        "            continue\n",
        "    if count != 0:\n",
        "        vec /= count\n",
        "        #print('oov',oov)\n",
        "    return vec"
      ],
      "metadata": {
        "id": "8R5NEKZgWDwc"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import scale\n",
        "n_dim = 300\n",
        "train_vecs = np.concatenate([buildWordVectorKeyed(wv_from_text,z, n_dim) for z in X_train])\n",
        "train_vecs = scale(train_vecs)\n",
        "test_vecs = np.concatenate([buildWordVectorKeyed(wv_from_text,z, n_dim) for z in X_test])\n",
        "test_vecs = scale(test_vecs)"
      ],
      "metadata": {
        "id": "JrV4url8XM1e"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Usamos el algoritmo de Logistic Regression en el conjunto de prueba,\n",
        "#luego evaluamos el rendimiento del modelo en el conjunto de prueba\n",
        "lr = LogisticRegression(C=1,multi_class='ovr',max_iter=10000)\n",
        "lr.fit(train_vecs, y_train)\n",
        "print ('Accuracy: %.2f'%lr.score(test_vecs, y_test))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "q4hCrP0QXPgW",
        "outputId": "a7f87aaf-e895-423e-e72e-ced6e1c659ca"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy: 0.58\n"
          ]
        }
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "base",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.5"
    },
    "colab": {
      "provenance": [],
      "name": "MeIA - Sentiment analysis in the TASS corpus (Spanish) using traditional machine learning.ipynb",
      "include_colab_link": true
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}

## meia-analisis-de-sentimientos-tradicional.ipynb

      
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