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@afrozhie
Created April 25, 2024 04:43
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ipynb for issues 11
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{
"cells": [
{
"cell_type": "markdown",
"id": "6474b6ff-e35b-4d80-82ab-808eead78c34",
"metadata": {},
"source": [
"### Make table to summarize results using LR, LDA, KNN, CART, NB, and SVM while determining Iris-setosa, Iris-versicolor, and Iris-virginica."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "c86a7a52-9fa6-44c9-84b7-9289ec02ce95",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Python: 3.11.5 (tags/v3.11.5:cce6ba9, Aug 24 2023, 14:38:34) [MSC v.1936 64 bit (AMD64)]\n",
"scipy: 1.13.0\n",
"numpy: 1.26.4\n",
"matplotlib: 3.8.3\n",
"pandas: 2.2.1\n",
"sklearn: 1.4.2\n"
]
}
],
"source": [
"import sys\n",
"print('Python: {}'.format(sys.version))\n",
"\n",
"import scipy\n",
"print('scipy: {}'.format(scipy.__version__))\n",
"\n",
"import numpy\n",
"print('numpy: {}'.format(numpy.__version__))\n",
"\n",
"import matplotlib\n",
"print('matplotlib: {}'.format(matplotlib.__version__))\n",
"\n",
"import pandas\n",
"print('pandas: {}'.format(pandas.__version__))\n",
"\n",
"import sklearn\n",
"print('sklearn: {}'.format(sklearn.__version__))"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "edc31e65-7493-4bed-818e-3232bf3dd0e6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(150, 5)\n"
]
}
],
"source": [
"from pandas import read_csv\n",
"from pandas.plotting import scatter_matrix\n",
"from matplotlib import pyplot as plt\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.model_selection import cross_val_score\n",
"from sklearn.model_selection import StratifiedKFold\n",
"from sklearn.metrics import classification_report\n",
"from sklearn.metrics import confusion_matrix\n",
"from sklearn.metrics import accuracy_score\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.tree import DecisionTreeClassifier\n",
"from sklearn.neighbors import KNeighborsClassifier\n",
"from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
"from sklearn.naive_bayes import GaussianNB\n",
"from sklearn.svm import SVC\n",
"\n",
"url = \"https://raw.githubusercontent.com/jbrownlee/Datasets/master/iris.csv\"\n",
"names = ['sepal-lenght', 'sepal-width', 'petal-length', 'petal-width', 'class']\n",
"dataset = read_csv(url, names=names)\n",
"print(dataset.shape)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "e425066b-3640-4aad-a2ea-d7ad3c8369ce",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" sepal-lenght sepal-width petal-length petal-width class\n",
"0 5.1 3.5 1.4 0.2 Iris-setosa\n",
"1 4.9 3.0 1.4 0.2 Iris-setosa\n",
"2 4.7 3.2 1.3 0.2 Iris-setosa\n",
"3 4.6 3.1 1.5 0.2 Iris-setosa\n",
"4 5.0 3.6 1.4 0.2 Iris-setosa\n",
"5 5.4 3.9 1.7 0.4 Iris-setosa\n",
"6 4.6 3.4 1.4 0.3 Iris-setosa\n",
"7 5.0 3.4 1.5 0.2 Iris-setosa\n",
"8 4.4 2.9 1.4 0.2 Iris-setosa\n",
"9 4.9 3.1 1.5 0.1 Iris-setosa\n"
]
}
],
"source": [
"print(dataset.head(10))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "fc266463-ed52-4102-b21d-10aa691b901c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" sepal-lenght sepal-width petal-length petal-width\n",
"count 150.000000 150.000000 150.000000 150.000000\n",
"mean 5.843333 3.054000 3.758667 1.198667\n",
"std 0.828066 0.433594 1.764420 0.763161\n",
"min 4.300000 2.000000 1.000000 0.100000\n",
"25% 5.100000 2.800000 1.600000 0.300000\n",
"50% 5.800000 3.000000 4.350000 1.300000\n",
"75% 6.400000 3.300000 5.100000 1.800000\n",
"max 7.900000 4.400000 6.900000 2.500000\n"
]
}
],
"source": [
"print(dataset.describe())"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "a9ddb3c5-a0bf-422d-b267-9f496841d9ca",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"class\n",
"Iris-setosa 50\n",
"Iris-versicolor 50\n",
"Iris-virginica 50\n",
"dtype: int64\n"
]
}
],
"source": [
"print(dataset.groupby('class').size())"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "5a29ffc3-b9cb-40e8-82e1-389ca89ee9df",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dataset.plot(\n",
" kind='box',\n",
" subplots=True,\n",
" layout=(2,2),\n",
" sharex=False,\n",
" sharey=False)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "2618b082-710f-4fb7-b8d9-15eaf1dfa2a3",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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2Nvr27YujR4/C3d0dnTt3tlg/ICAApaWlTW4vNTUVixcvblC+a9cudOzYsdlYcnJybKqDq7tzluclg03KBNKIbdu2KR2Czez9eqypqWn1ukw+iMiu3HvvvTh69CgqKirw6aefIiEhAXl5eTZvLykpCYmJieblyspKBAcHIzY2FjqdrtHPGI1G5OTkYMKECXBzc7N5364qImUngFt3PJYMNmHRYTUMJpXCUd1yPCVO6RCs5ijXY/1dxdZg8kFEdsXd3R333HMPACAyMhKHDh3C22+/jUceeQQ3btxAeXm5xd2PsrIyBAYGNrk9rVYLrVbboNzNza3Fhrw161BDhjrLRMNgUjUoU4ojn097vx6tic2q0S6pqakYMmQIvL294e/vjylTpqCoqMhindraWuj1evj5+aFTp06YNm0aysrKrNkNEZGZyWSCwWBAZGQk3NzckJuba36vqKgI586dQ1RUlIIREpG1rEo+8vLyoNfrUVBQgJycHBiNRsTGxqK6utq8DofCEZGtkpKSkJ+fj5KSEhw7dgxJSUnYs2cPZsyYAR8fHzz11FNITEzE7t27UVhYiFmzZiEqKoojXYgcjFU/u+zYscNief369fD390dhYSFGjRqFiooKDoUjIptdvHgRTzzxBH766Sf4+Pigf//+2LlzJyZMmAAAWLlyJdRqNaZNm2YxyRgROZY29fmoqKgAAPj6+gKATUPhbBkG117qh4e1aRv/f0iZ1LFLEdvtbImvqeFe9hCbFPuz92FstrizbvZex3Xr1jX7voeHB9LT05Geni5TRETUHmxOPkwmE+bPn4+RI0ciIiICAFBaWmr1ULi2DIOT2p3Dw9pC6iFRUsYGtG242Z11s6fY2sLeh7G1RX3drBkKR0TUXmxOPvR6PY4fP459+/a1KQBbhsG1l/rhYW1RP7RM6iFRUsR2O1uGmzU13MseYmsLRxnGZos762bNUDgiovZiU/IxZ84cfPHFF8jPz0dQUJC5PDAw0OqhcG0ZBic1KYeCSR2/1MPU2hLbnXWzp9jaul9nSz7q1dfNWetHRI7FqtEuQgjMmTMH2dnZ+OqrrxAeHm7xPofCERERUUusuvOh1+uRlZWFzz77DN7e3uZ+HD4+PvD09LQYCufr6wudToe5c+dyKBwRERGZWZV8ZGRkAADGjBljUZ6ZmYmZM2cC4FA4IiIiap5VyYcQLQ+p5FA4IiIiao5VfT6IiIiI2orJBxEREcmKyQcRERHJiskHERERyapNz3Yhag9hC7+UbFslyydKti0iIpIG73wQERGRrJh8EBERkayYfBAREZGsmHwQERGRrJh8EBERkaw42oWIyMVJOcKMqDV454OIiIhkxeSDiIiIZMXkg4iIiGTF5IOIiIhkxeSDiIiIZMXRLi7Klt7tWo3AiqFARMpOGOpU7RAVERG5At75ICIiIlnxzgcRkQPi3BzkyHjng4iIiGTF5IOIiIhkxeSDiIiIZMXkg4jsQmpqKoYMGQJvb2/4+/tjypQpKCoqslintrYWer0efn5+6NSpE6ZNm4aysjKFIiYiWzH5ICK7kJeXB71ej4KCAuTk5MBoNCI2NhbV1dXmdRYsWICtW7di06ZNyMvLw4ULFzB16lQFoyYiW3C0CxHZhR07dlgsr1+/Hv7+/igsLMSoUaNQUVGBdevWISsrC+PGjQMAZGZmok+fPigoKMDw4cOVCJuIbMDkg4jsUkVFBQDA19cXAFBYWAij0YiYmBjzOr1790ZISAj279/fZPJhMBhgMBjMy5WVlQAAo9EIo9HY6Gfqy5t63x5oNULpEFqkVQuL/9oDez6nTXGE6xGwLj4mH0Rkd0wmE+bPn4+RI0ciIiICAFBaWgp3d3d07tzZYt2AgACUlpY2ua3U1FQsXry4QfmuXbvQsWPHZuPIycmxPniZrBiqdAStt2SwSekQzLZt26Z0CDaz5+sRAGpqalq9LpOPdsIpyIlsp9frcfz4cezbt6/N20pKSkJiYqJ5ubKyEsHBwYiNjYVOp2v0M0ajETk5OZgwYQLc3NzaHEN7iEjZqXQILdKqBZYMNmHRYTUMJvtoD4+nxCkdgtUc4XoE/u+uYmsw+SAiuzJnzhx88cUXyM/PR1BQkLk8MDAQN27cQHl5ucXdj7KyMgQGBja5Pa1WC61W26Dczc2txYa8NesoxZH+uDGYVHYTr72ez9aw5+sRsO7YcrQLEdkFIQTmzJmD7OxsfPXVVwgPD7d4PzIyEm5ubsjNzTWXFRUV4dy5c4iKipI7XCJqA975ICK7oNfrkZWVhc8++wze3t7mfhw+Pj7w9PSEj48PnnrqKSQmJsLX1xc6nQ5z585FVFQUR7oQORgmH0RkFzIyMgAAY8aMsSjPzMzEzJkzAQArV66EWq3GtGnTYDAYEBcXh9WrV8scKRG1FZMPIrILQrQ8HNPDwwPp6elIT0+XISIiai/s80FERESyYvJBREREsmLyQURERLJi8kFERESyYvJBREREsmLyQURERLJi8kFERESyYvJBREREsmLyQURERLJi8kFERESyYvJBREREsmLyQURERLJi8kFERESysjr5yM/Px6RJk9CjRw+oVCps2bLF4n0hBF555RV0794dnp6eiImJwalTp6SKl4iIiByc1clHdXU1BgwY0OQjrVesWIFVq1ZhzZo1OHDgALy8vBAXF4fa2to2B0tERESOr4O1H4iPj0d8fHyj7wkhkJaWhj//+c946KGHAAAfffQRAgICsGXLFjz66KNti5aIiIgcntXJR3OKi4tRWlqKmJgYc5mPjw+GDRuG/fv3N5p8GAwGGAwG83JlZSUAwGg0wmg0Shlei7Qa0fZtqIXFf52JI9atNddQ/TpyX29yuLNuzlhHInI8kiYfpaWlAICAgACL8oCAAPN7d0pNTcXixYsblO/atQsdO3aUMrwWrRgq3baWDDZJtzE740h127ZtW6vXzcnJacdIlFVft5qaGoUjISKSOPmwRVJSEhITE83LlZWVCA4ORmxsLHQ6nayxRKTsbPM2tGqBJYNNWHRYDYNJJUFU9sMR63Y8Ja7FdYxGI3JycjBhwgS4ubnJEJV87qxb/Z1FIiIlSZp8BAYGAgDKysrQvXt3c3lZWRkGDhzY6Ge0Wi20Wm2Dcjc3N9m/CAx10n2hGkwqSbdnTxypbtZcQ0pcc3Kpr5uz1o+IHIuk83yEh4cjMDAQubm55rLKykocOHAAUVFRUu6KiIiIHJTVdz6qqqpw+vRp83JxcTGOHj0KX19fhISEYP78+Vi6dCl69eqF8PBwLFq0CD169MCUKVOkjJuIiIgclNXJx+HDhzF27Fjzcn1/jYSEBKxfvx4vvfQSqqurMXv2bJSXl+P+++/Hjh074OHhIV3U/1/Ywi8l3yYRERG1L6uTjzFjxkCIpodaqlQqvPrqq3j11VfbFBgRERE5Jz7bhYiIiGTF5IOIiIhkxeSDiIiIZMXkg4iIiGTF5IOIiIhkpfj06kRE9fLz8/HGG2+gsLAQP/30E7Kzsy3mCBJCIDk5Ge+//z7Ky8sxcuRIZGRkoFevXsoFTS5NyikfSpZPlGxb9o53PojIblRXV2PAgAFIT09v9P0VK1Zg1apVWLNmDQ4cOAAvLy/ExcWhtrZW5kiJqC1454OI7EZ8fDzi4+MbfU8IgbS0NPz5z3/GQw89BAD46KOPEBAQgC1btuDRRx+VM1QiagMmH0TkEIqLi1FaWoqYmBhzmY+PD4YNG4b9+/c3mXwYDAYYDAbzcv2TfY1GI4xGY6OfqS9v6n17oNU0PdmjvdCqhcV/7YHU51TK8+DI1yNgXXxMPojIIZSWlgIAAgICLMoDAgLM7zUmNTUVixcvblC+a9cudOzYsdl95uTk2BCpPFYMVTqC1lsy2KR0CGbbtm2TdHtSnoeWYrPn6xEAampqWr0ukw8icmpJSUnmZ1ABt+58BAcHIzY2FjqdrtHPGI1G5OTkYMKECXBzc5MrVKtEpOxUOoQWadUCSwabsOiwGgaTSulwAADHU+Ik3Z6U56Gp2BzhegT+765iazD5ICKHEBgYCAAoKytD9+7dzeVlZWUYOHBgk5/TarXQarUNyt3c3FpsyFuzjlIMdfbxZd4aBpPKbuKV+nxKWS9Hvh4B644tR7sQkUMIDw9HYGAgcnNzzWWVlZU4cOAAoqKiFIyMiKzFOx9EZDeqqqpw+vRp83JxcTGOHj0KX19fhISEYP78+Vi6dCl69eqF8PBwLFq0CD169LCYC4SoOVLOy0G2Y/JBRHbj8OHDGDt2rHm5vq9GQkIC1q9fj5deegnV1dWYPXs2ysvLcf/992PHjh3w8PBQKmQisgGTD3JqrfkrR6sRWDH0Vsexln6/lXoGQs6OaGnMmDEQoumhiyqVCq+++ipeffVVGaMiIqmxzwcRERHJiskHERERyYrJBxEREcmKyQcRERHJiskHERERyYqjXYiswDkCyFa8doj+D+98EBERkayYfBAREZGsmHwQERGRrJh8EBERkayYfBAREZGsmHwQERGRrJh8EBERkayYfBAREZGsmHwQERGRrJh8EBERkayYfBAREZGs+GwXIqImRKTshKFOpXQYRE6Hdz6IiIhIVkw+iIiISFZMPoiIiEhWTD6IiIhIVkw+iIiISFZMPoiIiEhWTD6IiIhIVpzng4iIyA6ELfyy0XKtRmDFUOXnnSlZPlGybfHOBxEREcmKyQcRERHJiskHERERyYrJBxEREcmq3ZKP9PR0hIWFwcPDA8OGDcPBgwfba1dE5GLYvhA5tnZJPj755BMkJiYiOTkZR44cwYABAxAXF4eLFy+2x+6IyIWwfSFyfO0y1Patt97C008/jVmzZgEA1qxZgy+//BJ//etfsXDhQot1DQYDDAaDebmiogIAcPXqVRiNxmb30+FmtcSRt10Hk0BNjQkdjGrUmZzrUdzOWjdnqdeVK1calBmNRtTU1ODKlStwc3PD9evXAQBCCLnDk4w17QtgWxtTf9wc/ZpQmrP821KavRzHxtqY21nVvgiJGQwGodFoRHZ2tkX5E088ISZPntxg/eTkZAGAL774kvF1/vx5qf/py8La9kUItjF88SX3qzXti+R3Pi5fvoy6ujoEBARYlAcEBODkyZMN1k9KSkJiYqJ52WQy4erVq/Dz84NK5XiZcmVlJYKDg3H+/HnodDqlw5GUs9bNWesFNKybEALXr19Hjx49lA7NJta2L4BtbYwzXxNy4nGUhqMcR2vaF8VnONVqtdBqtRZlnTt3ViYYCel0Oru+SNrCWevmrPUCLOvm4+OjcDTyaksb48zXhJx4HKXhCMexte2L5B1Ou3btCo1Gg7KyMovysrIyBAYGSr07InIhbF+InIPkyYe7uzsiIyORm5trLjOZTMjNzUVUVJTUuyMiF8L2hcg5tMvPLomJiUhISMDgwYMxdOhQpKWlobq62tw73ZlptVokJyc3uM3rDJy1bs5aL8A56yZH++KMx00JPI7ScMbjqBKifcbcvfvuu3jjjTdQWlqKgQMHYtWqVRg2bFh77IqIXAzbFyLH1m7JBxEREVFj+GwXIiIikhWTDyIiIpIVkw8iIiKSFZMPIiIikhWTD4mkpKRApVJZvHr37q10WJL48ccf8dvf/hZ+fn7w9PTEL37xCxw+fFjpsNosLCyswTlTqVTQ6/VKh9YmdXV1WLRoEcLDw+Hp6YmePXtiyZIlDv0wObmkpqZiyJAh8Pb2hr+/P6ZMmYKioiKlw3I4GRkZ6N+/v3lGzqioKGzfvl3psBza8uXLoVKpMH/+fKVDkYTi06s7k379+uGf//yneblDB8c/vNeuXcPIkSMxduxYbN++Hd26dcOpU6fQpUsXpUNrs0OHDqGurs68fPz4cUyYMAEPP/ywglG13euvv46MjAx8+OGH6NevHw4fPoxZs2bBx8cHL7zwgtLh2bW8vDzo9XoMGTIEN2/exJ/+9CfExsbixIkT8PLyUjo8hxEUFITly5ejV69eEELgww8/xEMPPYRvvvkG/fr1Uzo8h3Po0CG899576N+/v9KhSIZDbSWSkpKCLVu24OjRo0qHIqmFCxfi66+/xt69e5UOpd3Nnz8fX3zxBU6dOuWQDzWs9+CDDyIgIADr1q0zl02bNg2enp7YsGGDgpE5nkuXLsHf3x95eXkYNWqU0uE4NF9fX7zxxht46qmnlA7FoVRVVWHQoEFYvXo1li5dioEDByItLU3psNqMP7tI6NSpU+jRowfuvvtuzJgxA+fOnVM6pDb7/PPPMXjwYDz88MPw9/fHfffdh/fff1/psCR348YNbNiwAU8++aRDJx4AMGLECOTm5uL7778HAHz77bfYt28f4uPjFY7M8VRUVAC49cVJtqmrq8PGjRtRXV3NKfBtoNfrMXHiRMTExCgdiqQc/3cBOzFs2DCsX78e9957L3766ScsXrwY0dHROH78OLy9vZUOz2ZnzpxBRkYGEhMT8ac//QmHDh3CCy+8AHd3dyQkJCgdnmS2bNmC8vJyzJw5U+lQ2mzhwoWorKxE7969odFoUFdXh2XLlmHGjBlKh+ZQTCYT5s+fj5EjRyIiIkLpcBzOsWPHEBUVhdraWnTq1AnZ2dno27ev0mE5lI0bN+LIkSM4dOiQ0qFIT1C7uHbtmtDpdOKDDz5QOpQ2cXNzE1FRURZlc+fOFcOHD1coovYRGxsrHnzwQaXDkMTf//53ERQUJP7+97+Lf//73+Kjjz4Svr6+Yv369UqH5lCeffZZERoaKs6fP690KA7JYDCIU6dOicOHD4uFCxeKrl27iu+++07psBzGuXPnhL+/v/j222/NZaNHjxbz5s1TLigJMfloR4MHDxYLFy5UOow2CQkJEU899ZRF2erVq0WPHj0Uikh6JSUlQq1Wiy1btigdiiSCgoLEu+++a1G2ZMkSce+99yoUkePR6/UiKChInDlzRulQnMb48ePF7NmzlQ7DYWRnZwsAQqPRmF8AhEqlEhqNRty8eVPpENuEP7u0k6qqKvzwww94/PHHlQ6lTUaOHNlgqOH333+P0NBQhSKSXmZmJvz9/TFx4kSlQ5FETU0N1GrL7lwajQYmk0mhiByHEAJz585FdnY29uzZg/DwcKVDchomkwkGg0HpMBzG+PHjcezYMYuyWbNmoXfv3vjjH/8IjUajUGTSYPIhkd///veYNGkSQkNDceHCBSQnJ0Oj0eA3v/mN0qG1yYIFCzBixAi89tprmD59Og4ePIi1a9di7dq1SocmCZPJhMzMTCQkJDjF0GgAmDRpEpYtW4aQkBD069cP33zzDd566y08+eSTSodm9/R6PbKysvDZZ5/B29sbpaWlAAAfHx94enoqHJ3jSEpKQnx8PEJCQnD9+nVkZWVhz5492Llzp9KhOQxvb+8GfY28vLzg5+fnHH2QlL714iweeeQR0b17d+Hu7i7uuusu8cgjj4jTp08rHZYktm7dKiIiIoRWqxW9e/cWa9euVTokyezcuVMAEEVFRUqHIpnKykoxb948ERISIjw8PMTdd98tXn75ZWEwGJQOze4BaPSVmZmpdGgO5cknnxShoaHC3d1ddOvWTYwfP17s2rVL6bAcnjP1+eA8H0RERCQrzvNBREREsmLyQURERLJi8kFERESyYvJBREREsmLyQQ2oVCqkpKS0uF5KSopDPAdlz549UKlU+PTTT5UOhYju0Nr2xlZhYWGtemzC+vXroVKpUFJS0up1Dx8+3PYAXRSTDyeTlZXlFE88tIUr151ICc7+b2716tVYv3690mE4JSYfTsbZG4PmuHLdiZTgCP/mioqKbH4SN5OP9uMcUzoSERE1QqvVKh0CNYJ3PhRW32/i5MmTmD59OnQ6Hfz8/DBv3jzU1tZarLthwwZERkbC09MTvr6+ePTRR3H+/Hnz+2PGjMGXX36Js2fPQqVSQaVSISwsDABw48YNvPLKK4iMjISPjw+8vLwQHR2N3bt3S16nluKsjzUiIgInTpzA2LFj0bFjR9x1111YsWJFg+2dPXsWkydPhpeXF/z9/bFgwQLs3LkTKpUKe/bsabHu9UwmE5YtW4agoCB4eHhg/PjxOH36tOT1J7JXjtrefP7551CpVPj3v/9tLvvHP/4BlUqFqVOnWqzbp08fPPLII+blxvp8fPfddxg3bhw8PT0RFBSEpUuXNnj2UVhYGL777jvk5eWZ6zdmzBiLdQwGAxITE9GtWzd4eXnhV7/6FS5dumRTHV0N73zYienTpyMsLAypqakoKCjAqlWrcO3aNXz00UcAgGXLlmHRokWYPn06fve73+HSpUt45513MGrUKHzzzTfo3LkzXn75ZVRUVOC///0vVq5cCQDo1KkTAKCyshIffPABfvOb3+Dpp5/G9evXsW7dOsTFxeHgwYMYOHCgJPVoTZz1rl27hgceeABTp07F9OnT8emnn+KPf/wjfvGLXyA+Ph4AUF1djXHjxuGnn37CvHnzEBgYiKysrAaNWHN1r7d8+XKo1Wr8/ve/R0VFBVasWIEZM2bgwIEDktSdyFE4Wntz//33Q6VSIT8/H/379wcA7N27F2q1Gvv27TOvd+nSJZw8eRJz5sxpclulpaUYO3Ysbt68iYULF8LLywtr165t8OyetLQ0zJ07F506dcLLL78MAAgICLBYZ+7cuejSpQuSk5NRUlKCtLQ0zJkzB5988olV9XNJSs/v7uqSk5MFADF58mSL8ueff14AEN9++60oKSkRGo1GLFu2zGKdY8eOiQ4dOliUT5w4UYSGhjbYz82bNxs82+PatWsiICBAPPnkkxblAERycnKrY69nTZyjR48WAMRHH31kLjMYDCIwMFBMmzbNXPbmm28KABaPu//5559F7969BQCxe/fuFuu+e/duAUD06dPH4hi8/fbbAoA4duxYi3UlcgaO3N7069dPTJ8+3bw8aNAg8fDDDwsA4j//+Y8QQojNmzeb61EvNDRUJCQkmJfnz58vAIgDBw6Yyy5evCh8fHwEAFFcXGyxz9GjRzeIJTMzUwAQMTExwmQymcsXLFggNBqNKC8vb7E+ro4/u9gJvV5vsTx37lwAwLZt27B582aYTCZMnz4dly9fNr8CAwPRq1evVt3K1Gg0cHd3B3Dr54erV6/i5s2bGDx4MI4cOSJJHayNs1OnTvjtb39rXnZ3d8fQoUNx5swZc9mOHTtw1113YfLkyeYyDw8PPP3001bHN2vWLPMxAIDo6GgAsNgfkStwxPYmOjoae/fuBQBcv34d3377LWbPno2uXbuay/fu3YvOnTs3+9TXbdu2Yfjw4Rg6dKi5rFu3bpgxY4bVMc2ePdtiuoHo6GjU1dXh7NmzVm/L1fBnFzvRq1cvi+WePXtCrVajpKQEarUaQogG69Rzc3Nr1T4+/PBDvPnmmzh58iSMRqO5PDw8vMnP3LhxA1evXrUo69atGzQaTYN1T506ZVWcQUFBDeYJ6dKli8XvumfPnkXPnj0brHfPPfc0GXNTQkJCGuwLuPXzD5ErccT2Jjo6GmvWrMHp06fxww8/QKVSISoqypyUPP3009i7dy9GjhwJtbrpv6vPnj2LYcOGNSi/9957W1Wv27FNsR2TDzt1+5etyWSCSqXC9u3bG/3Sv7NvQ2M2bNiAmTNnYsqUKfjDH/4Af39/aDQapKam4ocffmjyc//6178wduxYi7Li4uIGnTltibOxdQBAtNODluXeH5GjcIT25v777wcA5Ofn48yZMxg0aJC5I+uqVatQVVWFb775BsuWLWtttduMbYrtmHzYiVOnTln8RXD69GmYTCaEhYVBo9FACIHw8HD8z//8T7PbaWrG0U8//RR33303Nm/ebLFOcnJys9sbMGAAcnJyLMoCAwMbXbdnz56tjrO1QkNDceLECQghLOJubJSKI8y2SmQPHLG9CQkJQUhICPbu3YszZ86YfzYdNWoUEhMTsWnTJtTV1WHUqFHN7iM0NBSnTp1qUF5UVNTq+lHbsc+HnUhPT7dYfueddwAA8fHxmDp1KjQaDRYvXtwgoxZC4MqVK+ZlLy8vVFRUNNh+fYZ+++cPHDiA/fv3NxtXly5dEBMTY/Hy8PBodF1r4mytuLg4/Pjjj/j888/NZbW1tY1OGtRU3YnIkqO2N9HR0fjqq69w8OBBc/IxcOBAeHt7Y/ny5fD09ERkZGSz+/jlL3+JgoICHDx40Fx26dIlfPzxxw3W9fLyQnl5ebPbI9vwzoedKC4uxuTJk/HAAw9g//792LBhAx577DEMGDAAALB06VIkJSWhpKQEU6ZMgbe3N4qLi5GdnY3Zs2fj97//PQAgMjISn3zyCRITEzFkyBB06tQJkyZNwoMPPojNmzfjV7/6FSZOnIji4mKsWbMGffv2RVVVlSR16NmzZ6vjbK1nnnkG7777Ln7zm99g3rx56N69Oz7++GNzg3T7XyZN1Z2ILDlqexMdHY2PP/4YKpXK/DOMRqPBiBEjsHPnTowZM8aiU3ljXnrpJfztb3/DAw88gHnz5pmH2oaGhlr0N6uvX0ZGBpYuXYp77rkH/v7+GDdunM3x023kHl5DluqHvp04cUL8+te/Ft7e3qJLly5izpw54ueff7ZY9x//+Ie4//77hZeXl/Dy8hK9e/cWer1eFBUVmdepqqoSjz32mOjcubMAYB4GZzKZxGuvvSZCQ0OFVqsV9913n/jiiy9EQkJCg6FysHGorTVxjh49WvTr16/BZxuL58yZM2LixInC09NTdOvWTbz44oviH//4hwAgCgoKWqx7/VDbTZs2WWy3uLhYABCZmZkt1pXIGThyeyOEEN9995152Pztli5dKgCIRYsWNfjMnUNthRDi3//+txg9erTw8PAQd911l1iyZIlYt25dg6G2paWlYuLEicLb21sAMA+7rR9qe+jQIYvt1rc1t08BQI1TCcGeMUpKSUnB4sWLcenSJXTt2lXpcBxGWloaFixYgP/+97+46667lA6HyCGwvSF7wT4fZPd+/vlni+Xa2lq899576NWrFxMPIiIHxD4fZPemTp2KkJAQDBw4EBUVFdiwYQNOnjzZaAcxIiKyf0w+yO7FxcXhgw8+wMcff4y6ujr07dsXGzdutHh4FBEROQ72+SAiIiJZsc8HERERyYrJBxEREcnK7vp8mEwmXLhwAd7e3pzalkhiQghcv34dPXr0aPbhW86MbQxR+7CmfbG75OPChQsIDg5WOgwip3b+/HkEBQUpHYYi2MYQta/WtC92l3x4e3sDuBW8TqdTOJrmGY1G7Nq1C7Gxsa1+zLSz4rG4xd6PQ2VlJYKDg83/zlxRfd0/+OADTJkyxS7Pk6Ow9+vdUTjLcbSmfbG75KP+NqhOp3OI5KNjx47Q6XQOfcFIgcfiFkc5Dq78c0N93R3hPNk7R7ne7Z2zHcfWtC+u+aMvERERKYbJBxEREcmKyQcRERHJiskHERERycruOpxaI2zhl5Jur2T5REm3R0S2W758OZKSkjBv3jykpaUBuPVE4xdffBEbN26EwWBAXFwcVq9ejYCAAMn3z/aFqP3wzgcR2Z1Dhw7hvffeQ//+/S3KFyxYgK1bt2LTpk3Iy8vDhQsXMHXqVIWiJCJbMfkgIrtSVVWFGTNm4P3330eXLl3M5RUVFVi3bh3eeustjBs3DpGRkcjMzMS//vUvFBQUKBgxEVnLoX92ISLno9frMXHiRMTExGDp0qXm8sLCQhiNRsTExJjLevfujZCQEOzfvx/Dhw9vdHsGgwEGg8G8XFlZaf5/o9HYZBxajbQP/G5uX46qvk7OWDc5OctxtCZ+Jh9EZDc2btyII0eO4NChQw3eKy0thbu7Ozp37mxRHhAQgNLS0ia3mZqaisWLFzf6Xk5OTpOfWzG0dTG31rZt26TdoB1p7jhS6zn6caypqWn1ukw+iMgunD9/HvPmzUNOTg48PDwk225SUhISExPNy/VTQAPAhAkTmpxRMiJlp2QxAMDxlDhJt2cPjEYjcnJymj2O1DJnOY6331VsCZMPIrILhYWFuHjxIgYNGmQuq6urQ35+Pt59913s3LkTN27cQHl5ucXdj7KyMgQGBja5Xa1WC61W2+h7bm5uTTb2hjppp6B35C+VljR3HKn1HP04WhM7kw8isgvjx4/HsWPHLMpmzZqF3r17449//COCg4Ph5uaG3NxcTJs2DQBQVFSEc+fOISoqSomQichGTD6IyC54e3sjIiLCoszLywt+fn7m8qeeegqJiYnw9fWFTqfD3LlzERUV1WRnUyKyT0w+iMhhrFy5Emq1GtOmTbOYZIyIHAuTDyKyW3v27LFY9vDwQHp6OtLT05UJiIgkwUnGiIiISFZMPoiIiEhWTD6IiIhIVkw+iIiISFZMPoiIiEhWTD6IiIhIVkw+iIiISFZMPoiIiEhWTD6IiIhIVkw+iIiISFZMPoiIiEhWTD6IiIhIVkw+iIiISFZMPoiIiEhWViUfGRkZ6N+/P3Q6HXQ6HaKiorB9+3bz+7W1tdDr9fDz80OnTp0wbdo0lJWVSR40EREROS6rko+goCAsX74chYWFOHz4MMaNG4eHHnoI3333HQBgwYIF2Lp1KzZt2oS8vDxcuHABU6dObZfAiYiIyDF1sGblSZMmWSwvW7YMGRkZKCgoQFBQENatW4esrCyMGzcOAJCZmYk+ffqgoKAAw4cPly5qIiIiclhWJR+3q6urw6ZNm1BdXY2oqCgUFhbCaDQiJibGvE7v3r0REhKC/fv3N5l8GAwGGAwG83JlZSUAwGg0wmg0NhuDViNsDb9RLe2vqfWt/Zwz4rG4xd6Pg73GRUSuxerk49ixY4iKikJtbS06deqE7Oxs9O3bF0ePHoW7uzs6d+5ssX5AQABKS0ub3F5qaioWL17coHzXrl3o2LFjs7GsGGpt9M3btm2bTZ/LycmRNhAHxmNxi70eh5qaGqVDICKyPvm49957cfToUVRUVODTTz9FQkIC8vLybA4gKSkJiYmJ5uXKykoEBwcjNjYWOp2u2c9GpOy0eb+NOZ4SZ9X6RqMROTk5mDBhAtzc3CSNxdHwWNxi78eh/s4ikSMJW/ilZNsqWT5Rsm2R7axOPtzd3XHPPfcAACIjI3Ho0CG8/fbbeOSRR3Djxg2Ul5db3P0oKytDYGBgk9vTarXQarUNyt3c3FpsvA11KmvDb5atXxatidVV8FjcYq/HwR5jIiLX0+Z5PkwmEwwGAyIjI+Hm5obc3Fzze0VFRTh37hyioqLauhsiIiJyElbd+UhKSkJ8fDxCQkJw/fp1ZGVlYc+ePdi5cyd8fHzw1FNPITExEb6+vtDpdJg7dy6ioqI40oWswlusRETOzark4+LFi3jiiSfw008/wcfHB/3798fOnTsxYcIEAMDKlSuhVqsxbdo0GAwGxMXFYfXq1e0SOBERETkmq5KPdevWNfu+h4cH0tPTkZ6e3qagiIiIyHnx2S5EREQkKyYfRGQ3+PwoItfA5IOI7AafH0XkGmyeXp2ISGp8fhSRa2DyQUR2qb2fHwU0/6wbpZ8d5QjkepaRlOfCHs+DvT8TqrWsiZ/JBxHZFbmeHwU0/wwee3l2lCNo72cZSXku7Pk82OszoVrLmmdHMfkgIrsi1/OjADT7DB6lnx3lCOR6lpGU58Iez4O9PxOqtax5dhSTDyKyK3I9Pwpo/hk89vLsKEfQ3s8ykvJc2PN5sNdnQrWWNbFztAsR2TU+P4rI+fDOBxHZDT4/isg1MPmgNgtb+CW0GoEVQ2/9Niv17WpyHXx+FJFrYPJBRHaDz48icg3s80FERESyYvJBREREsmLyQURERLJi8kFERESyYvJBREREsmLyQURERLJi8kFERESyYvJBREREsmLyQURERLJi8kFERESyYvJBREREsmLyQURERLJi8kFERESyYvJBREREsmLyQURERLJi8kFERESyYvJBREREsmLyQURERLJi8kFERESy6mDNyqmpqdi8eTNOnjwJT09PjBgxAq+//jruvfde8zq1tbV48cUXsXHjRhgMBsTFxWH16tUICAiQPHgiIiIlhS38ss3b0GoEVgyVIBgHYtWdj7y8POj1ehQUFCAnJwdGoxGxsbGorq42r7NgwQJs3boVmzZtQl5eHi5cuICpU6dKHjgRERE5JqvufOzYscNief369fD390dhYSFGjRqFiooKrFu3DllZWRg3bhwAIDMzE3369EFBQQGGDx8uXeRERETkkKxKPu5UUVEBAPD19QUAFBYWwmg0IiYmxrxO7969ERISgv379zeafBgMBhgMBvNyZWUlAMBoNMJoNDa7f61GtCX8BlraX1PrW/s5Z6PVCGjVt85F/X/thdznxt6vCXuNi4hci83Jh8lkwvz58zFy5EhEREQAAEpLS+Hu7o7OnTtbrBsQEIDS0tJGt5OamorFixc3KN+1axc6duzYbAxS/0a2bds2mz6Xk5MjbSAO5vbzsGSwSblAGmHrOW0re70mampqlA6BiMj25EOv1+P48ePYt29fmwJISkpCYmKiebmyshLBwcGIjY2FTqdr9rMRKTvbtO87HU+Js2p9o9GInJwcTJgwAW5ubpLG4kgiUnZCqxZYMtiERYfVMJhUSodkZu05bSt7vybq7ywSESnJpuRjzpw5+OKLL5Cfn4+goCBzeWBgIG7cuIHy8nKLux9lZWUIDAxsdFtarRZarbZBuZubW4uNt6FO2i85W78sWhOrM7v9PBhMKsnPS1sodV7s9Zqwx5iIyPVYNdpFCIE5c+YgOzsbX331FcLDwy3ej4yMhJubG3Jzc81lRUVFOHfuHKKioqSJmIiIiByaVcmHXq/Hhg0bkJWVBW9vb5SWlqK0tBQ///wzAMDHxwdPPfUUEhMTsXv3bhQWFmLWrFmIioriSBcialZqaiqGDBkCb29v+Pv7Y8qUKSgqKrJYp7a2Fnq9Hn5+fujUqROmTZuGsrIyhSImIltZlXxkZGSgoqICY8aMQffu3c2vTz75xLzOypUr8eCDD2LatGkYNWoUAgMDsXnzZskDJyLnwnmEiFyHVX0+hGh5GKWHhwfS09ORnp5uc1BE5Ho4jxCR62jTPB9ERO1FinmEgKbnEgKan/dE6XmEHIFc89pIeS6kjlWK2OrnR3L0a8Sa+Jl8kFOT4rkLtytZPlHS7VHjpJpHCGh6LiGg+flY7GUeIUfQ3vPaSHkupD4PUsZmr/MDtZY18wgx+SAiuyPVPEJA03MJAWh2Phal5xFyBHLNayPluZD6PEgRW/08SfY6P1BrWTOPEJMPIrIrUs4jBDQ9lxDQ/Hws9jKPkCNo73ltpDwXUscpdWyOfJ1YE7tVo12IiNoL5xEich2880FEdkGv1yMrKwufffaZeR4h4Nb8QZ6enhbzCPn6+kKn02Hu3LmcR4jIATH5ICK7kJGRAQAYM2aMRXlmZiZmzpwJ4NY8Qmq1GtOmTYPBYEBcXBxWr14tc6RE1FZMPojILnAeISLXwT4fREREJCsmH0RERCQrJh9EREQkKyYfREREJCsmH0RERCQrJh9EREQkKyYfREREJCsmH0RERCQrJh9EREQkKyYfREREJCsmH0RERCQrJh9EREQkKyYfREREJCsmH0RERCSrDkoHYE/CFn5p1fpajcCKoUBEyk4Y6lQW75UsnyhlaERERE6DyQcREZETsvYP6pZI+Uc1f3YhIiIiWTH5ICIiIlkx+SAiIiJZMfkgIiIiWTH5ICIiIlkx+SAiIiJZWT3UNj8/H2+88QYKCwvx008/ITs7G1OmTDG/L4RAcnIy3n//fZSXl2PkyJHIyMhAr169pIybSBEtDV1rbu6XxnA+GCJyRVbf+aiursaAAQOQnp7e6PsrVqzAqlWrsGbNGhw4cABeXl6Ii4tDbW1tm4MlIiIix2f1nY/4+HjEx8c3+p4QAmlpafjzn/+Mhx56CADw0UcfISAgAFu2bMGjjz7atmiJiIjI4Uk6w2lxcTFKS0sRExNjLvPx8cGwYcOwf//+RpMPg8EAg8FgXq6srAQAGI1GGI3GZven1QiJIreNVi0s/nu7lmJ3JlqNaPZYuBJrj4Pc14krXZdEZL8kTT5KS0sBAAEBARblAQEB5vfulJqaisWLFzco37VrFzp27Njs/lYMtTFQiS0ZbGpQtm3bNgUiUcbt56GxY+GKWnsc5L5OampqZN2ftdinjMg1KP5sl6SkJCQmJpqXKysrERwcjNjYWOh0umY/G5Gys73Da5ZWLbBksAmLDqthMFl2LjyeEqdQVPKLSNnZ7LFwJdYeB7mvk/o7i/aqvk/Zk08+ialTpzZ4v75P2Ycffojw8HAsWrQIcXFxOHHiBDw8PBSImIhsIWnyERgYCAAoKytD9+7dzeVlZWUYOHBgo5/RarXQarUNyt3c3ODm5tbs/lozmkAOBpOqQSwtxe5Mbq97Y8fCFbX2OMh9ndj7dck+ZUSuQdLkIzw8HIGBgcjNzTUnG5WVlThw4ACee+45KXdFRC7Glj5lQNP9yoDm+8BI3afMGfvb1Nepvesm5bmQOlYpYqvvI2aPsd2upfisid/q5KOqqgqnT582LxcXF+Po0aPw9fVFSEgI5s+fj6VLl6JXr17m26I9evSw+N2WiMhatvQpA5ruVwYAOTk5TX5O6j5lztwPrLnjKAUpz4XU50HK2KQ+jnJfw9b0KbM6+Th8+DDGjh1rXq7vr5GQkID169fjpZdeQnV1NWbPno3y8nLcf//92LFjB3+PJSJFNNWvDAAmTJjQ5E9RUvcpc8Z+YEajETk5Oc0eRylIeS6kPg9SxFbfV0zq4yj3NWxNnzKrk48xY8ZAiKZv5ahUKrz66qt49dVXrd00EVGTbOlTBjTdrwxovm+Z1H2X7L2/TVu0po9eW0h5LqSOU+rYpIxP7mvYmtj5bBcicgi39ymrV9+nLCoqSsHIiMhaig+1JWW09IwSIiWwTxm5stY+E8oZMPkgIrvBPmVEroHJBxHZDfYpI3INTD6IiGQg9U+dJcsnSro9KfFnXWoJO5wSERGRrJh8EBERkayYfBAREZGs2OeDiMjF2dpHQ6sRWDHUtYaIkjR454OIiIhkxeSDiIiIZMXkg4iIiGTFPh9EROQyOAeJfeCdDyIiIpIV73wQKUjKv8LsecZLIqLb8c4HERERyYrJBxEREcmKyQcRERHJiskHERERyYrJBxEREcmKyQcRERHJiskHERERyYrzfDgIzspHRETOgnc+iIiISFZMPoiIiEhWTD6IiIhIVkw+iIiISFZMPoiIiEhWTD6IiIhIVkw+iIiISFbtlnykp6cjLCwMHh4eGDZsGA4ePNheuyIiF8P2hcixtcskY5988gkSExOxZs0aDBs2DGlpaYiLi0NRURH8/f3bY5dE5CLYvtzCiQfJkbXLnY+33noLTz/9NGbNmoW+fftizZo16NixI/7617+2x+6IyIWwfSFyfJLf+bhx4wYKCwuRlJRkLlOr1YiJicH+/fsbrG8wGGAwGMzLFRUVAICrV6/CaDQ2u68ON6slito2HUwCNTUmdDCqUWdSWbx35coVafelcF1b0tyxcCVKHofWXHPXr18HAAgh2jucdmFt+wI03cbU1NTgypUrcHNza/Rz9v5vzh7w3700HOU4ttTGWNW+CIn9+OOPAoD417/+ZVH+hz/8QQwdOrTB+snJyQIAX3zxJePr/PnzUv/Tl4W17YsQbGP44kvuV2vaF8UfLJeUlITExETzsslkwtWrV+Hn5weVyn4zQACorKxEcHAwzp8/D51Op3Q4iuKxuMXej4MQAtevX0ePHj2UDkU2jbUxZ8+excCBA+32PDkKe7/eHYWzHEdr2hfJk4+uXbtCo9GgrKzMorysrAyBgYEN1tdqtdBqtRZlnTt3ljqsdqXT6Rz6gpESj8Ut9nwcfHx8lA7BZta2L0DjbYxafau7mz2fJ0fC4ygNZziOrW1fJO9w6u7ujsjISOTm5prLTCYTcnNzERUVJfXuiMiFsH0hcg7t8rNLYmIiEhISMHjwYAwdOhRpaWmorq7GrFmz2mN3RORC2L4QOb52ST4eeeQRXLp0Ca+88gpKS0sxcOBA7NixAwEBAe2xO8VotVokJyc3uKXringsbuFxaH9StC88T9LgcZSGKx5HlRAOOuaOiIiIHBKf7UJERESyYvJBREREsmLyQURERLJi8kFERESyYvJBREREsmLyYYPU1FQMGTIE3t7e8Pf3x5QpU1BUVKR0WIpbvnw5VCoV5s+fr3Qoivjxxx/x29/+Fn5+fvD09MQvfvELHD58WOmwqBHp6ekICwuDh4cHhg0bhoMHDyodkkPJz8/HpEmT0KNHD6hUKmzZskXpkByOq3+PMPmwQV5eHvR6PQoKCpCTkwOj0YjY2FhUV7vuUzAPHTqE9957D/3791c6FEVcu3YNI0eOhJubG7Zv344TJ07gzTffRJcuXZQOje7wySefIDExEcnJyThy5AgGDBiAuLg4XLx4UenQHEZ1dTUGDBiA9PR0pUNxWK7+PcJ5PiRw6dIl+Pv7Iy8vD6NGjVI6HNlVVVVh0KBBWL16NZYuXYqBAwciLS1N6bBktXDhQnz99dfYu3ev0qFQC4YNG4YhQ4bg3XffBXBrevbg4GDMnTsXCxcuVDg6x6NSqZCdnY0pU6YoHYpDc7XvEd75kEBFRQUAwNfXV+FIlKHX6zFx4kTExMQoHYpiPv/8cwwePBgPP/ww/P39cd999+H9999XOiy6w40bN1BYWGhxrarVasTExGD//v0KRkauztW+R5h8tJHJZML8+fMxcuRIREREKB2O7DZu3IgjR44gNTVV6VAUdebMGWRkZKBXr17YuXMnnnvuObzwwgv48MMPlQ6NbnP58mXU1dU1mIo9ICAApaWlCkVFrs4Vv0fa5dkurkSv1+P48ePYt2+f0qHI7vz585g3bx5ycnLg4eGhdDiKMplMGDx4MF577TUAwH333Yfjx49jzZo1SEhIUDg6IrJnrvg9wjsfbTBnzhx88cUX2L17N4KCgpQOR3aFhYW4ePEiBg0ahA4dOqBDhw7Iy8vDqlWr0KFDB9TV1Skdomy6d++Ovn37WpT16dMH586dUygiakzXrl2h0WhQVlZmUV5WVobAwECFoiJX5qrfI0w+bCCEwJw5c5CdnY2vvvoK4eHhSoekiPHjx+PYsWM4evSo+TV48GDMmDEDR48ehUajUTpE2YwcObLBMLnvv/8eoaGhCkVEjXF3d0dkZCRyc3PNZSaTCbm5uYiKilIwMnI1rv49wp9dbKDX65GVlYXPPvsM3t7e5t+KfXx84OnpqXB08vH29m7w+6SXlxf8/Pxc5nfLegsWLMCIESPw2muvYfr06Th48CDWrl2LtWvXKh0a3SExMREJCQkYPHgwhg4dirS0NFRXV2PWrFlKh+YwqqqqcPr0afNycXExjh49Cl9fX4SEhCgYmeNw+e8RQVYD0OgrMzNT6dAUN3r0aDFv3jylw1DE1q1bRUREhNBqtaJ3795i7dq1SodETXjnnXdESEiIcHd3F0OHDhUFBQVKh+RQdu/e3WgbmJCQoHRoDsPVv0c4zwcRERHJin0+iIiISFZMPoiIiEhWTD6IiIhIVkw+iIiISFZMPoiIiEhWTD6IiIhIVkw+iIiISFZMPoiIiEhWTD6IiIhIVkw+iIiISFZMPoiIiEhW/w/tW34dVI6GzAAAAABJRU5ErkJggg==",
"text/plain": [
"<Figure size 640x480 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dataset.hist()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "f4ced098-b3f8-4d10-93d4-2e2b9dd1a71c",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 16 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"scatter_matrix(dataset)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "0f58ba4b-4aff-4899-8b67-1548322b46db",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[5.1 3.5 1.4 0.2 'Iris-setosa']\n",
" [4.9 3.0 1.4 0.2 'Iris-setosa']\n",
" [4.7 3.2 1.3 0.2 'Iris-setosa']\n",
" [4.6 3.1 1.5 0.2 'Iris-setosa']\n",
" [5.0 3.6 1.4 0.2 'Iris-setosa']]\n",
"\n",
"[[5.1 3.5 1.4 0.2]\n",
" [4.9 3.0 1.4 0.2]\n",
" [4.7 3.2 1.3 0.2]\n",
" [4.6 3.1 1.5 0.2]\n",
" [5.0 3.6 1.4 0.2]]\n",
"\n",
"['Iris-setosa' 'Iris-setosa' 'Iris-setosa' 'Iris-setosa' 'Iris-setosa']\n"
]
}
],
"source": [
"array = dataset.values\n",
"print(array[:5])\n",
"print()\n",
"\n",
"x = array[:,0:4]\n",
"print(x[:5])\n",
"print()\n",
"\n",
"y = array[:,4]\n",
"print(y[:5])"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "fd7ed854-24de-4773-b8b0-7f349e4f2074",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"120\n",
"30\n",
"0.2\n"
]
}
],
"source": [
"X_train, x_validation, y_train, y_validation = train_test_split(\n",
" array[:, 0:4], \n",
" array[:, 4], \n",
" test_size=0.20, \n",
" random_state=1 \n",
")\n",
"\n",
"print(len(y_train))\n",
"print(len(y_validation))\n",
"print(len(y_validation) / (len(y_train) + len(y_validation)))"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "ca662696-fc6d-4ac4-a466-231158bed588",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"LR: 0.941667 (0.065085)\n",
"LDA: 0.975000 (0.038188)\n",
"CART: 0.950000 (0.055277)\n",
"NB: 0.950000 (0.055277)\n",
"SVM: 0.983333 (0.033333)\n"
]
}
],
"source": [
"models = []\n",
"models.append(('LR', LogisticRegression(solver='liblinear', multi_class='ovr')))\n",
"models.append(('LDA', LinearDiscriminantAnalysis()))\n",
"models.append(('CART', DecisionTreeClassifier()))\n",
"models.append(('NB', GaussianNB()))\n",
"models.append(('SVM', SVC(gamma='auto')))\n",
"\n",
"results = []\n",
"names = []\n",
"for name, model in models:\n",
" kfold = StratifiedKFold(n_splits=10, random_state=1, shuffle=True)\n",
" cv_results = cross_val_score(model, X_train, y_train, cv=kfold, scoring='accuracy')\n",
" results.append(cv_results)\n",
" names.append(name)\n",
" print('%s: %f (%f)' % (name, cv_results.mean(), cv_results.std()))"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "0bf539ec-fdca-4956-a82f-4b3ad569b6f1",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.boxplot(results, labels=names)\n",
"plt.title('Algorithm Comparison')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "0cc15ad4-85f6-4139-9b18-1db261e301d1",
"metadata": {},
"source": [
"### For the results using LR, LDA, KNN, CART, NB, and SVM,calculate accuracy, precision, recall and F1-score. Compare the results given by sklearn. Hint: When define TF, TN, FP, FN for a class A, the other classes are merged into one class non-A."
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "214d0f39-e58e-4720-b90c-ed98302b9e84",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 0.9666666666666667\n",
"\n",
"confusion matrix =\n",
" [[11 0 0]\n",
" [ 0 12 1]\n",
" [ 0 0 6]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" Iris-setosa 1.00 1.00 1.00 11\n",
"Iris-versicolor 1.00 0.92 0.96 13\n",
" Iris-virginica 0.86 1.00 0.92 6\n",
"\n",
" accuracy 0.97 30\n",
" macro avg 0.95 0.97 0.96 30\n",
" weighted avg 0.97 0.97 0.97 30\n",
"\n"
]
}
],
"source": [
"model = SVC(gamma='auto')\n",
"model.fit(X_train, y_train)\n",
"predictions = model.predict(x_validation)\n",
"\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "8ebd6508-9afe-4510-814a-f6bcda376f19",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style>#sk-container-id-1 {\n",
" /* Definition of color scheme common for light and dark mode */\n",
" --sklearn-color-text: black;\n",
" --sklearn-color-line: gray;\n",
" /* Definition of color scheme for unfitted estimators */\n",
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
" --sklearn-color-unfitted-level-3: chocolate;\n",
" /* Definition of color scheme for fitted estimators */\n",
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
" --sklearn-color-fitted-level-1: #d4ebff;\n",
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
"\n",
" /* Specific color for light theme */\n",
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
" --sklearn-color-icon: #696969;\n",
"\n",
" @media (prefers-color-scheme: dark) {\n",
" /* Redefinition of color scheme for dark theme */\n",
" --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
" --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
" --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
" --sklearn-color-icon: #878787;\n",
" }\n",
"}\n",
"\n",
"#sk-container-id-1 {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
"#sk-container-id-1 pre {\n",
" padding: 0;\n",
"}\n",
"\n",
"#sk-container-id-1 input.sk-hidden--visually {\n",
" border: 0;\n",
" clip: rect(1px 1px 1px 1px);\n",
" clip: rect(1px, 1px, 1px, 1px);\n",
" height: 1px;\n",
" margin: -1px;\n",
" overflow: hidden;\n",
" padding: 0;\n",
" position: absolute;\n",
" width: 1px;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-dashed-wrapped {\n",
" border: 1px dashed var(--sklearn-color-line);\n",
" margin: 0 0.4em 0.5em 0.4em;\n",
" box-sizing: border-box;\n",
" padding-bottom: 0.4em;\n",
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-container {\n",
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
" so we also need the `!important` here to be able to override the\n",
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
" display: inline-block !important;\n",
" position: relative;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-text-repr-fallback {\n",
" display: none;\n",
"}\n",
"\n",
"div.sk-parallel-item,\n",
"div.sk-serial,\n",
"div.sk-item {\n",
" /* draw centered vertical line to link estimators */\n",
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
" background-size: 2px 100%;\n",
" background-repeat: no-repeat;\n",
" background-position: center center;\n",
"}\n",
"\n",
"/* Parallel-specific style estimator block */\n",
"\n",
"#sk-container-id-1 div.sk-parallel-item::after {\n",
" content: \"\";\n",
" width: 100%;\n",
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
" flex-grow: 1;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-parallel {\n",
" display: flex;\n",
" align-items: stretch;\n",
" justify-content: center;\n",
" background-color: var(--sklearn-color-background);\n",
" position: relative;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-parallel-item {\n",
" display: flex;\n",
" flex-direction: column;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
" align-self: flex-end;\n",
" width: 50%;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
" align-self: flex-start;\n",
" width: 50%;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
" width: 0;\n",
"}\n",
"\n",
"/* Serial-specific style estimator block */\n",
"\n",
"#sk-container-id-1 div.sk-serial {\n",
" display: flex;\n",
" flex-direction: column;\n",
" align-items: center;\n",
" background-color: var(--sklearn-color-background);\n",
" padding-right: 1em;\n",
" padding-left: 1em;\n",
"}\n",
"\n",
"\n",
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
"clickable and can be expanded/collapsed.\n",
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
"*/\n",
"\n",
"/* Pipeline and ColumnTransformer style (default) */\n",
"\n",
"#sk-container-id-1 div.sk-toggleable {\n",
" /* Default theme specific background. It is overwritten whether we have a\n",
" specific estimator or a Pipeline/ColumnTransformer */\n",
" background-color: var(--sklearn-color-background);\n",
"}\n",
"\n",
"/* Toggleable label */\n",
"#sk-container-id-1 label.sk-toggleable__label {\n",
" cursor: pointer;\n",
" display: block;\n",
" width: 100%;\n",
" margin-bottom: 0;\n",
" padding: 0.5em;\n",
" box-sizing: border-box;\n",
" text-align: center;\n",
"}\n",
"\n",
"#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
" /* Arrow on the left of the label */\n",
" content: \"▸\";\n",
" float: left;\n",
" margin-right: 0.25em;\n",
" color: var(--sklearn-color-icon);\n",
"}\n",
"\n",
"#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
" color: var(--sklearn-color-text);\n",
"}\n",
"\n",
"/* Toggleable content - dropdown */\n",
"\n",
"#sk-container-id-1 div.sk-toggleable__content {\n",
" max-height: 0;\n",
" max-width: 0;\n",
" overflow: hidden;\n",
" text-align: left;\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-toggleable__content pre {\n",
" margin: 0.2em;\n",
" border-radius: 0.25em;\n",
" color: var(--sklearn-color-text);\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
" /* Expand drop-down */\n",
" max-height: 200px;\n",
" max-width: 100%;\n",
" overflow: auto;\n",
"}\n",
"\n",
"#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
" content: \"▾\";\n",
"}\n",
"\n",
"/* Pipeline/ColumnTransformer-specific style */\n",
"\n",
"#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator-specific style */\n",
"\n",
"/* Colorize estimator box */\n",
"#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
"#sk-container-id-1 div.sk-label label {\n",
" /* The background is the default theme color */\n",
" color: var(--sklearn-color-text-on-default-background);\n",
"}\n",
"\n",
"/* On hover, darken the color of the background */\n",
"#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"/* Label box, darken color on hover, fitted */\n",
"#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
" color: var(--sklearn-color-text);\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Estimator label */\n",
"\n",
"#sk-container-id-1 div.sk-label label {\n",
" font-family: monospace;\n",
" font-weight: bold;\n",
" display: inline-block;\n",
" line-height: 1.2em;\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-label-container {\n",
" text-align: center;\n",
"}\n",
"\n",
"/* Estimator-specific */\n",
"#sk-container-id-1 div.sk-estimator {\n",
" font-family: monospace;\n",
" border: 1px dotted var(--sklearn-color-border-box);\n",
" border-radius: 0.25em;\n",
" box-sizing: border-box;\n",
" margin-bottom: 0.5em;\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-0);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-estimator.fitted {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-0);\n",
"}\n",
"\n",
"/* on hover */\n",
"#sk-container-id-1 div.sk-estimator:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-2);\n",
"}\n",
"\n",
"#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-2);\n",
"}\n",
"\n",
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
"\n",
"/* Common style for \"i\" and \"?\" */\n",
"\n",
".sk-estimator-doc-link,\n",
"a:link.sk-estimator-doc-link,\n",
"a:visited.sk-estimator-doc-link {\n",
" float: right;\n",
" font-size: smaller;\n",
" line-height: 1em;\n",
" font-family: monospace;\n",
" background-color: var(--sklearn-color-background);\n",
" border-radius: 1em;\n",
" height: 1em;\n",
" width: 1em;\n",
" text-decoration: none !important;\n",
" margin-left: 1ex;\n",
" /* unfitted */\n",
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-unfitted-level-1);\n",
"}\n",
"\n",
".sk-estimator-doc-link.fitted,\n",
"a:link.sk-estimator-doc-link.fitted,\n",
"a:visited.sk-estimator-doc-link.fitted {\n",
" /* fitted */\n",
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-fitted-level-1);\n",
"}\n",
"\n",
"/* On hover */\n",
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
".sk-estimator-doc-link:hover,\n",
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
".sk-estimator-doc-link:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
".sk-estimator-doc-link.fitted:hover,\n",
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
".sk-estimator-doc-link.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"/* Span, style for the box shown on hovering the info icon */\n",
".sk-estimator-doc-link span {\n",
" display: none;\n",
" z-index: 9999;\n",
" position: relative;\n",
" font-weight: normal;\n",
" right: .2ex;\n",
" padding: .5ex;\n",
" margin: .5ex;\n",
" width: min-content;\n",
" min-width: 20ex;\n",
" max-width: 50ex;\n",
" color: var(--sklearn-color-text);\n",
" box-shadow: 2pt 2pt 4pt #999;\n",
" /* unfitted */\n",
" background: var(--sklearn-color-unfitted-level-0);\n",
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
"}\n",
"\n",
".sk-estimator-doc-link.fitted span {\n",
" /* fitted */\n",
" background: var(--sklearn-color-fitted-level-0);\n",
" border: var(--sklearn-color-fitted-level-3);\n",
"}\n",
"\n",
".sk-estimator-doc-link:hover span {\n",
" display: block;\n",
"}\n",
"\n",
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
"\n",
"#sk-container-id-1 a.estimator_doc_link {\n",
" float: right;\n",
" font-size: 1rem;\n",
" line-height: 1em;\n",
" font-family: monospace;\n",
" background-color: var(--sklearn-color-background);\n",
" border-radius: 1rem;\n",
" height: 1rem;\n",
" width: 1rem;\n",
" text-decoration: none;\n",
" /* unfitted */\n",
" color: var(--sklearn-color-unfitted-level-1);\n",
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
"}\n",
"\n",
"#sk-container-id-1 a.estimator_doc_link.fitted {\n",
" /* fitted */\n",
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
" color: var(--sklearn-color-fitted-level-1);\n",
"}\n",
"\n",
"/* On hover */\n",
"#sk-container-id-1 a.estimator_doc_link:hover {\n",
" /* unfitted */\n",
" background-color: var(--sklearn-color-unfitted-level-3);\n",
" color: var(--sklearn-color-background);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
" /* fitted */\n",
" background-color: var(--sklearn-color-fitted-level-3);\n",
"}\n",
"</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC(gamma=&#x27;auto&#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-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow \">&nbsp;&nbsp;SVC<a class=\"sk-estimator-doc-link \" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.svm.SVC.html\">?<span>Documentation for SVC</span></a><span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></label><div class=\"sk-toggleable__content \"><pre>SVC(gamma=&#x27;auto&#x27;)</pre></div> </div></div></div></div>"
],
"text/plain": [
"SVC(gamma='auto')"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model = SVC(gamma='auto')\n",
"model.fit(X_train, y_train)\n",
"predictions = model.predict(x_validation)\n",
"\n",
"models = []\n",
"models.append(('LR', LogisticRegression(solver='liblinear', multi_class='ovr')))\n",
"models.append(('LDA', LinearDiscriminantAnalysis()))\n",
"models.append(('KNN', KNeighborsClassifier()))\n",
"models.append(('CART', DecisionTreeClassifier()))\n",
"models.append(('NB', GaussianNB()))\n",
"models.append(('SVM', SVC(gamma='auto')))\n",
"\n",
"LogisticRegression(solver='liblinear', multi_class='ovr')\n",
"LinearDiscriminantAnalysis()\n",
"KNeighborsClassifier()\n",
"DecisionTreeClassifier()\n",
"GaussianNB()\n",
"SVC(gamma='auto')"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "d0e69f92-6daa-44f1-a67a-d31e4171df96",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 0.8333333333333334\n",
"\n",
"confusion matrix =\n",
" [[11 0 0]\n",
" [ 0 8 5]\n",
" [ 0 0 6]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" Iris-setosa 1.00 1.00 1.00 11\n",
"Iris-versicolor 1.00 0.62 0.76 13\n",
" Iris-virginica 0.55 1.00 0.71 6\n",
"\n",
" accuracy 0.83 30\n",
" macro avg 0.85 0.87 0.82 30\n",
" weighted avg 0.91 0.83 0.84 30\n",
"\n"
]
}
],
"source": [
"model = LogisticRegression(\n",
" solver='liblinear', multi_class='ovr')\n",
"model.fit(X_train, y_train)\n",
"predictions = model.predict(x_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "e97b0573-11ee-4cb2-94e6-00b401e2b401",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 1.0\n",
"\n",
"confusion matrix =\n",
" [[11 0 0]\n",
" [ 0 13 0]\n",
" [ 0 0 6]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" Iris-setosa 1.00 1.00 1.00 11\n",
"Iris-versicolor 1.00 1.00 1.00 13\n",
" Iris-virginica 1.00 1.00 1.00 6\n",
"\n",
" accuracy 1.00 30\n",
" macro avg 1.00 1.00 1.00 30\n",
" weighted avg 1.00 1.00 1.00 30\n",
"\n"
]
}
],
"source": [
"model = LinearDiscriminantAnalysis()\n",
"model.fit(X_train, y_train)\n",
"predictions = model.predict(x_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "cfd16eb9-f2ff-4675-a9c4-d8ec40d757d7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 1.0\n",
"\n",
"confusion matrix =\n",
" [[11 0 0]\n",
" [ 0 13 0]\n",
" [ 0 0 6]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" Iris-setosa 1.00 1.00 1.00 11\n",
"Iris-versicolor 1.00 1.00 1.00 13\n",
" Iris-virginica 1.00 1.00 1.00 6\n",
"\n",
" accuracy 1.00 30\n",
" macro avg 1.00 1.00 1.00 30\n",
" weighted avg 1.00 1.00 1.00 30\n",
"\n"
]
}
],
"source": [
"model = KNeighborsClassifier()\n",
"model.fit(X_train, y_train)\n",
"predictions = model.predict(x_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "0f187e46-5422-414c-9243-fbd89b06689f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 0.9666666666666667\n",
"\n",
"confusion matrix =\n",
" [[11 0 0]\n",
" [ 0 12 1]\n",
" [ 0 0 6]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" Iris-setosa 1.00 1.00 1.00 11\n",
"Iris-versicolor 1.00 0.92 0.96 13\n",
" Iris-virginica 0.86 1.00 0.92 6\n",
"\n",
" accuracy 0.97 30\n",
" macro avg 0.95 0.97 0.96 30\n",
" weighted avg 0.97 0.97 0.97 30\n",
"\n"
]
}
],
"source": [
"model = DecisionTreeClassifier()\n",
"model.fit(X_train, y_train)\n",
"predictions = model.predict(x_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "be3ee328-74c1-48d9-9a16-f416ea2336a8",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 0.9666666666666667\n",
"\n",
"confusion matrix =\n",
" [[11 0 0]\n",
" [ 0 12 1]\n",
" [ 0 0 6]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" Iris-setosa 1.00 1.00 1.00 11\n",
"Iris-versicolor 1.00 0.92 0.96 13\n",
" Iris-virginica 0.86 1.00 0.92 6\n",
"\n",
" accuracy 0.97 30\n",
" macro avg 0.95 0.97 0.96 30\n",
" weighted avg 0.97 0.97 0.97 30\n",
"\n"
]
}
],
"source": [
"model = GaussianNB()\n",
"model.fit(X_train, y_train)\n",
"predictions = model.predict(x_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "2712830b-3916-4145-ad2a-22e725c0ee8b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 0.9666666666666667\n",
"\n",
"confusion matrix =\n",
" [[11 0 0]\n",
" [ 0 12 1]\n",
" [ 0 0 6]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" Iris-setosa 1.00 1.00 1.00 11\n",
"Iris-versicolor 1.00 0.92 0.96 13\n",
" Iris-virginica 0.86 1.00 0.92 6\n",
"\n",
" accuracy 0.97 30\n",
" macro avg 0.95 0.97 0.96 30\n",
" weighted avg 0.97 0.97 0.97 30\n",
"\n"
]
}
],
"source": [
"model = SVC(gamma='auto')\n",
"model.fit(X_train, y_train)\n",
"predictions = model.predict(x_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "87bb3002-d950-4492-b25c-4b42ece09515",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import random as rnd\n",
"n = 1000\n",
"xx = []; yy = [] ; zz = []; label = []\n",
"\n",
"xmin = 10; xmax = 50\n",
"ymin = 40; ymax = 90\n",
"zmin = 70; zmax = 90\n",
"for i in range (n//2):\n",
" x = rnd.random() * (xmax - xmin) + xmin\n",
" y = rnd.random() * (ymax - ymin) + ymin\n",
" z = rnd.random() * (zmax - zmin) + zmin\n",
" xx.append(x)\n",
" yy.append(y)\n",
" zz.append(z)\n",
" label.append('A');\n",
"\n",
"xmin = 30; xmax = 80\n",
"ymin = 20; ymax = 70\n",
"zmin = 10; zmax = 30\n",
"for i in range (n//2,n):\n",
" x = rnd.random() * (xmax - xmin) + xmin\n",
" y = rnd.random() * (ymax - ymin) + ymin\n",
" z = rnd.random() * (zmax - zmin) + zmin\n",
" xx.append(x)\n",
" yy.append(y)\n",
" zz.append(z)\n",
" label.append('B');\n",
"\n",
"import matplotlib.pyplot as plt\n",
"plt.scatter(yy, zz)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "b420adfd-3fac-41bb-8f68-a4f3276bc854",
"metadata": {},
"outputs": [],
"source": [
"import csv\n",
"\n",
"fields = ['X1', 'X2', 'X3', 'Y']\n",
"\n",
"rows = []\n",
"for i in range(n):\n",
" row = [\n",
" f'{xx[i]:.3f}',\n",
" f'{yy[i]:.3f}',\n",
" f'{zz[i]:.3f}',\n",
" label[i]\n",
" ]\n",
" rows.append(row)\n",
"\n",
"filename = \"x123_y.csv\"\n",
"\n",
"with open(filename, 'w', newline='') as csvfile:\n",
" csvwriter = csv.writer(csvfile)\n",
" csvwriter.writerow(fields)\n",
" csvwriter.writerows(rows)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "5fdabc9f-f04e-4595-8d01-bb403ff27f30",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Python: 3.11.5 (tags/v3.11.5:cce6ba9, Aug 24 2023, 14:38:34) [MSC v.1936 64 bit (AMD64)]\n",
"scipy: 1.13.0\n",
"numpy: 1.26.4\n",
"matplotlib: 3.8.3\n",
"Pandas: 2.2.1\n",
"sklearn: 1.4.2\n"
]
}
],
"source": [
"import sys\n",
"print('Python: {}'.format(sys.version))\n",
"\n",
"import scipy\n",
"print('scipy: {}'.format(scipy.__version__))\n",
"\n",
"import numpy\n",
"print('numpy: {}'.format(numpy.__version__))\n",
"\n",
"import matplotlib\n",
"print('matplotlib: {}'.format(matplotlib.__version__))\n",
"\n",
"import pandas\n",
"print('Pandas: {}'.format(pandas.__version__))\n",
"\n",
"import sklearn\n",
"print('sklearn: {}'.format(sklearn.__version__))"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "b1db5058-e876-4978-a4a3-647f61a13689",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(1000, 4)\n"
]
}
],
"source": [
"from pandas import read_csv\n",
"from pandas.plotting import scatter_matrix\n",
"from matplotlib import pyplot as plt\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.model_selection import cross_val_score\n",
"from sklearn.model_selection import StratifiedKFold\n",
"from sklearn.metrics import classification_report\n",
"from sklearn.metrics import confusion_matrix\n",
"from sklearn.metrics import accuracy_score\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.tree import DecisionTreeClassifier\n",
"from sklearn.neighbors import KNeighborsClassifier\n",
"from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
"from sklearn.naive_bayes import GaussianNB\n",
"from sklearn.svm import SVC\n",
"\n",
"url = \"https://raw.githubusercontent.com/dudung/datasets/main/data/synthetic/x123_y.csv\"\n",
"names = ['X1', 'X2', 'X3', 'Y']\n",
"dataset = read_csv(url, names=names, header=0)\n",
"print(dataset.shape)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "e32a8792-e73a-440c-bb70-96d7084b85ca",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" X1 X2 X3 Y\n",
"0 31.476 54.139 78.319 A\n",
"1 14.403 68.740 89.788 A\n",
"2 10.890 74.881 73.673 A\n",
"3 41.830 53.688 78.826 A\n",
"4 27.202 80.607 74.573 A\n",
"\n",
" X1 X2 X3 Y\n",
"995 46.755 69.604 24.783 B\n",
"996 34.276 32.053 17.147 B\n",
"997 61.518 68.330 19.105 B\n",
"998 71.577 40.247 18.811 B\n",
"999 45.287 44.205 12.039 B\n"
]
}
],
"source": [
"print(dataset.head(5))\n",
"print()\n",
"print(dataset.tail(5))"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "e6665a71-f6d9-40c5-8b8a-2e146f1a3351",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" X1 X2 X3\n",
"count 1000.000000 1000.000000 1000.000000\n",
"mean 42.259981 55.062684 49.988817\n",
"std 18.278564 17.599157 30.962492\n",
"min 10.209000 20.074000 10.161000\n",
"25% 29.202250 42.381750 19.104500\n",
"50% 40.822000 55.044500 50.007500\n",
"75% 55.832750 67.118000 80.799250\n",
"max 79.937000 89.977000 89.991000\n"
]
}
],
"source": [
"print(dataset.describe())"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "0fc05fc5-a65b-49bc-9f35-c8679cc22b4b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Y\n",
"A 500\n",
"B 500\n",
"dtype: int64\n"
]
}
],
"source": [
"print(dataset.groupby('Y').size())"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "f506928b-60a4-43df-9d6b-145f1d8fc6fb",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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H43vsdvNqN9L4oCAAQDgFHD62b9+uw4cP69ChQz/qczgc6tevn/r37+/XbrVa5XA4LjtfZWWlli1bFmgZCCM+KAgAEE4BXXDa2tqqxx9/XNu2bVNiYmJICigrK5PL5fIdra2tIZkXAAD0TQGFj6amJp09e1ajR49WfHy84uPjVV9fr3Xr1ik+Pl5Wq1WXLl1Se3u733lOp1OZmZmXndNkMik1NdXvAAAA16+A3naZMmWKjh075tf24IMPKicnR08++aRsNpsSEhJUV1enwsJCSVJzc7POnDmj3Nzc0FUNAACiVkDhIyUlRcOHD/drS0pKUnp6uq997ty5Ki0tVVpamlJTU1VcXKzc3FzudAEAAJLC8K22a9euVWxsrAoLC+XxeFRQUKCXXnop1E8DAACiVK/Dx969e/0eJyYmqrq6WtXV1b2dGgAAXIf4bhcAAGAowgcAADAU4QMAABiK8AEAAAxF+AAAAIYifAAAAEMRPgAAgKEIHwAAwFAh/4RTAMDPz8WubknS8a9cQc/R2dWtL89d1MABZiUmxAU1x2dnLwT9/DAO4QMA0Gun//9/+ov/49hVRhojycR/b30Z/zoADPXcc8+prKxMjz/+uKqqqiRJnZ2d+t3vfqft27f7fSeU1WqNbLG4ZlOHZUqSBmcky9yLXYuS14+o6t6RuiUjOehakkzxsv9NUtDnI/wIHwAMc+jQIb388su67bbb/NoXLlyod955Rzt27JDFYtH8+fM1a9Ys/eUvf4lQpQhUWlI/zf71oJDMdUtGsob/whKSudA3ccEpAENcuHBBc+bM0ebNmzVgwABfu8vl0pYtW7RmzRpNnjxZY8aMUU1Njfbv368DBw5EsGIA4UL4AGCIoqIiTZs2Tfn5+X7tTU1N6urq8mvPycnRoEGD1NDQYHSZAAzA2y4Awm779u06fPiwDh069KM+h8Ohfv36qX///n7tVqtVDofjinN6PB55PB7fY7fbHbJ6AYQX4QN+uF0Oodba2qrHH39c77//vhITE0M2b2VlpZYtWxay+QAYh/ABP9wuh1BramrS2bNnNXr0aF9bd3e3PvzwQ7344ot67733dOnSJbW3t/vtfjidTmVmZl5x3rKyMpWWlvoeu91u2Wy2sPwMAEKLlR1+uF0OoTZlyhQdO+YfZh988EHl5OToySeflM1mU0JCgurq6lRYWChJam5u1pkzZ5Sbm3vFeU0mk0wmU1hrBxAehA/44XY5hFpKSoqGDx/u15aUlKT09HRf+9y5c1VaWqq0tDSlpqaquLhYubm5Gj9+fCRKBhBmhA8AEbd27VrFxsaqsLDQ70PGAFyfCB8ADLd3716/x4mJiaqurlZ1dXVkCgJgKD7nAwAAGIrwAQAADEX4AAAAhiJ8AAAAQxE+AACAoQgfAADAUIQPAABgKMIHAAAwFOEDAAAYivABAAAMRfgAAACGCih8VFZWauzYsUpJSVFGRoZmzpyp5uZmvzGdnZ0qKipSenq6kpOTVVhYKKfTGdKiAQBA9AoofNTX16uoqEgHDhzQ+++/r66uLk2dOlUdHR2+MQsXLtTbb7+tHTt2qL6+Xm1tbZo1a1bICwcAANEpoG+13bNnj9/jV155RRkZGWpqatIdd9whl8ulLVu2qLa2VpMnT5Yk1dTUaOjQoTpw4IDGjx8fusoBAEBU6tU1Hy6XS5KUlpYmSWpqalJXV5fy8/N9Y3JycjRo0CA1NDT05qkAAMB1IqCdj7/W09OjkpISTZw4UcOHD5ckORwO9evXT/379/cba7Va5XA4LjuPx+ORx+PxPXa73cGWBAAAokDQOx9FRUU6fvy4tm/f3qsCKisrZbFYfIfNZuvVfAAAoG8LKnzMnz9fu3fv1p///GcNHDjQ156ZmalLly6pvb3db7zT6VRmZuZl5yorK5PL5fIdra2twZQEAACiREDhw+v1av78+dq5c6c++OAD2e12v/4xY8YoISFBdXV1vrbm5madOXNGubm5l53TZDIpNTXV7wAAANevgK75KCoqUm1trd58802lpKT4ruOwWCwym82yWCyaO3euSktLlZaWptTUVBUXFys3N5c7XQAAgKQAw8eGDRskSXfeeadfe01NjR544AFJ0tq1axUbG6vCwkJ5PB4VFBTopZdeCkmxAAAg+gUUPrxe71XHJCYmqrq6WtXV1UEXBQAArl98twsAADAU4QMAABiK8AEAAAxF+AAAAIYifAAAAEMRPgAAgKEIHwAAwFCEDwAAYCjCBwAAMBThAwAAGIrwAQAADEX4ABB2lZWVGjt2rFJSUpSRkaGZM2equbnZb0xnZ6eKioqUnp6u5ORkFRYWyul0RqhiAOFE+AAQdvX19SoqKtKBAwf0/vvvq6urS1OnTlVHR4dvzMKFC/X2229rx44dqq+vV1tbm2bNmhXBqgGES0DfagsAwdizZ4/f41deeUUZGRlqamrSHXfcIZfLpS1btqi2tlaTJ0+WJNXU1Gjo0KE6cOCAxo8fH4myAYQJ4QMBu3ipW6e/vnDF/s/OXvD786cMvjFZ5n5xIasN0cHlckmS0tLSJElNTU3q6upSfn6+b0xOTo4GDRqkhoaGy4YPj8cjj8fje+x2u8NcNXrjauuGdO1rB+tG9CN8IGCnv76g6ev3XXVcyetHrjpmd3Gehv/CEoKqEC16enpUUlKiiRMnavjw4ZIkh8Ohfv36qX///n5jrVarHA7HZeeprKzUsmXLwl0uQuRa1w3p6msH60b0I3wgYINvTNbu4rwr9nd2devLcxc1cIBZiQk//epk8I3JoS4PfVxRUZGOHz+uffuu7T+iKykrK1Npaanvsdvtls1m6215CJOrrRvSta8drBvRj/CBgJn7xV31VcftNxtTC6LL/PnztXv3bn344YcaOHCgrz0zM1OXLl1Se3u73+6H0+lUZmbmZecymUwymUzhLhkhci3rhsTa8XPB3S4Aws7r9Wr+/PnauXOnPvjgA9ntdr/+MWPGKCEhQXV1db625uZmnTlzRrm5uUaXCyDM2PkAEHZFRUWqra3Vm2++qZSUFN91HBaLRWazWRaLRXPnzlVpaanS0tKUmpqq4uJi5ebmcqcLcB0ifAAIuw0bNkiS7rzzTr/2mpoaPfDAA5KktWvXKjY2VoWFhfJ4PCooKNBLL71kcKUAjED4ABB2Xq/3qmMSExNVXV2t6upqAyoCEEl9Lnx8v0hxzz4QOd///l1LaOgrWDuAyApk3ehz4eP8+fOSxC1zQB9w/vx5WSzR8XkKrB1A33At60aMt4+9tOnp6VFbW5tSUlIUExMT6XIQhO8/b6G1tVWpqamRLgdB8Hq9On/+vLKzsxUbGx03xbF2RD/WjugWyLrR58IHop/b7ZbFYpHL5WIBAXDNWDt+PqLjJQ0AALhuED4AAIChCB8IOZPJpKeffpqPvgYQENaOnw+u+QAAAIZi5wMAABiK8AEAAAxF+AAAAIYifAAAAEMRPhCw7u5uTZgwQbNmzfJrd7lcstlseuqppyRJCxYs0JgxY2QymTRy5MgIVAqgL7mWtePo0aP6zW9+I5vNJrPZrKFDh+rf//3fI1QxwoXwgYDFxcXplVde0Z49e7Rt2zZfe3FxsdLS0vT000/72h566CHde++9kSgTQB9zLWtHU1OTMjIy9Nprr+mTTz7RU089pbKyMr344osRrByhxq22CNq6dev0zDPP6JNPPtHBgwd1991369ChQ/rVr37lN+6ZZ57Rrl27dOTIkcgUCqBPuda143tFRUX69NNP9cEHHxhcKcKlz32rLaJHcXGxdu7cqX/+53/WsWPHtHTp0isuHgDwvUDXDpfLpbS0NAMrRLgRPhC0mJgYbdiwQUOHDtWIESO0ePHiSJcEIAoEsnbs379fr7/+ut555x0DK0S4cc0HeuUPf/iDbrjhBrW0tOjLL7+MdDkAosS1rB3Hjx/XjBkz9PTTT2vq1KkGV4hwInwgaPv379fatWu1e/du/frXv9bcuXPFJUQAruZa1o4TJ05oypQpmjdvnpYsWRKhShEuhA8E5ZtvvtEDDzygRx99VJMmTdKWLVt08OBBbdy4MdKlAejDrmXt+OSTTzRp0iTdf//9WrFiRQSrRbgQPhCUsrIyeb1ePffcc5Kkm2++Wc8//7wWLVqk//mf/5EkffbZZzpy5IgcDocuXryoI0eO6MiRI7p06VIEKwcQSVdbO44fP65JkyZp6tSpKi0tlcPhkMPh0Ndffx3hyhFK3GqLgNXX12vKlCnau3ev8vLy/PoKCgr07bff6k9/+pMmTZqk+vr6H53f0tKim2++2aBqAfQV17J25OXlqaKi4kfn3nTTTb4XNoh+hA8AAGAo3nYBAACGInwAAABDET4AAIChCB8AAMBQhA8AAGAowgcAADAU4QMAABiK8AEAAAxF+AAAAIYifAAAAEPFR7qAH+rp6VFbW5tSUlIUExMT6XKAnyWv16vz588rOztbsbG8RgEQWn0ufLS1tclms0W6DACSWltbNXDgwEiXAeA60+fCR0pKiqTvFr3U1NQIVwP8PLndbtlsNt/vIwCEUp8LH9+/1ZKamkr4ACKMtz4BhANv5gIAAEMRPgAAgKEIHwAAwFCEDwAAYKg+d8Ep+r6Ll7p1+usLV+zv7OrWl+cuauAAsxIT4n5yrsE3Jsvc76fHAACuL4QPBOz01xc0ff2+kMy1uzhPw39hCclcAIDoQPhAwAbfmKzdxXlX7P/s7AWVvH5EVfeO1C0ZyVedCwDw80L4QMDM/eKuabfiloxkdjUAAD/CBacAAMBQhA8AAGAowgcAADAU4QMAABiK8AEAAAxF+AAAAIYifAAAAEMRPgAAgKEIHwAAwFCEDwAAYCjCBwAAMBThAwAAGCqg8NHd3a3y8nLZ7XaZzWYNHjxYzz77rLxer2+M1+vV0qVLlZWVJbPZrPz8fJ06dSrkhQMAgOgU0Lfarlq1Shs2bNDWrVs1bNgwffTRR3rwwQdlsVi0YMECSdLq1au1bt06bd26VXa7XeXl5SooKNCJEyeUmJgYlh8CodXyvx3q8Hwb9Pmfnb3g92ewkkzxsv9NUq/mAAD0PTHev962uIrp06fLarVqy5YtvrbCwkKZzWa99tpr8nq9ys7O1u9+9zv9/ve/lyS5XC5ZrVa98sormj179lWfw+12y2KxyOVyKTU1NYgfCb3R8r8dmvT83kiX4fPn399JAIkAfg8BhFNAOx8TJkzQpk2bdPLkSf3yl7/U0aNHtW/fPq1Zs0aS1NLSIofDofz8fN85FotF48aNU0NDw2XDh8fjkcfj8T12u93B/iwIge93PKruHalbMpKDmqOzq1tfnruogQPMSkyIC2qOz85eUMnrR3q1AwMA6JsCCh+LFy+W2+1WTk6O4uLi1N3drRUrVmjOnDmSJIfDIUmyWq1+51mtVl/fD1VWVmrZsmXB1I4wuiUjWcN/YQn6/NtvDl0tAIDrS0AXnL7xxhvatm2bamtrdfjwYW3dulXPP/+8tm7dGnQBZWVlcrlcvqO1tTXouQAAQN8X0M7HE088ocWLF/vePhkxYoS++OILVVZW6v7771dmZqYkyel0Kisry3ee0+nUyJEjLzunyWSSyWQKsnwAABBtAtr5+OabbxQb639KXFycenp6JEl2u12ZmZmqq6vz9bvdbjU2Nio3NzcE5QIAgGgX0M7HXXfdpRUrVmjQoEEaNmyYPv74Y61Zs0YPPfSQJCkmJkYlJSVavny5hgwZ4rvVNjs7WzNnzgxH/QAAIMoEFD7Wr1+v8vJyPfbYYzp79qyys7P1yCOPaOnSpb4xixYtUkdHh+bNm6f29nbl5eVpz549fMYHAACQFGD4SElJUVVVlaqqqq44JiYmRhUVFaqoqOhtbQAA4DrEd7sAAABDET4AAIChCB8AAMBQhA8AAGAowgcAADAU4QMAABiK8AEAAAxF+AAAAIYifAAAAEMRPgAAgKEIHwAAwFCEDwAAYCjCBwAAMBThAwAAGIrwAQAADEX4AAAAhiJ8AAAAQxE+AACAoQgfAADAUIQPAABgKMIHAAAwFOEDAAAYivABAAAMRfgAAACGInwAAABDET4AAIChCB8AAMBQAYePr776Svfdd5/S09NlNps1YsQIffTRR75+r9erpUuXKisrS2azWfn5+Tp16lRIiwYAANEroPBx7tw5TZw4UQkJCXr33Xd14sQJvfDCCxowYIBvzOrVq7Vu3Tpt3LhRjY2NSkpKUkFBgTo7O0NePAAAiD7xgQxetWqVbDabampqfG12u933d6/Xq6qqKi1ZskQzZsyQJL366quyWq3atWuXZs+eHaKyAQBAtApo5+Ott97S7bffrrvvvlsZGRkaNWqUNm/e7OtvaWmRw+FQfn6+r81isWjcuHFqaGi47Jwej0dut9vvAAAA16+Awsfnn3+uDRs2aMiQIXrvvff06KOPasGCBdq6daskyeFwSJKsVqvfeVar1df3Q5WVlbJYLL7DZrMF83MAAIAoEVD46Onp0ejRo7Vy5UqNGjVK8+bN08MPP6yNGzcGXUBZWZlcLpfvaG1tDXouAADQ9wUUPrKysnTrrbf6tQ0dOlRnzpyRJGVmZkqSnE6n3xin0+nr+yGTyaTU1FS/AwAAXL8CCh8TJ05Uc3OzX9vJkyd10003Sfru4tPMzEzV1dX5+t1utxobG5WbmxuCcgEAQLQL6G6XhQsXasKECVq5cqXuueceHTx4UJs2bdKmTZskSTExMSopKdHy5cs1ZMgQ2e12lZeXKzs7WzNnzgxH/QAAIMoEFD7Gjh2rnTt3qqysTBUVFbLb7aqqqtKcOXN8YxYtWqSOjg7NmzdP7e3tysvL0549e5SYmBjy4gEAQPQJKHxI0vTp0zV9+vQr9sfExKiiokIVFRW9KgwAAFyf+G4XAABgKMIHAAAwFOEDAAAYivABAAAMRfgAAACGInwAAABDET4AAIChCB8AAMBQhA8AAGAowgcAADAU4QMAABgq4O92wfUvJt6tFnezYhOTI1ZDi/uCYuLdEXt+AED4ED7wIwn9G/WvB1dGugwl9J8i6Z8iXQYAIMQIH/iRrvZxemHabzU4I3I7H6fPXtCCbacj9vwAgPAhfOBHvN+myp76t7o13RKxGno6XfJ++3XEnh8AED5ccAoAAAxF+AAAAIYifAAAAEMRPgAAgKEIHwAAwFCEDwAAYCjCBwAAMBThAwAAGIrwAQAADEX4AAAAhiJ8AAAAQxE+AACAoXoVPp577jnFxMSopKTE19bZ2amioiKlp6crOTlZhYWFcjqdva0TAABcJ4IOH4cOHdLLL7+s2267za994cKFevvtt7Vjxw7V19erra1Ns2bN6nWhAADg+hBU+Lhw4YLmzJmjzZs3a8CAAb52l8ulLVu2aM2aNZo8ebLGjBmjmpoa7d+/XwcOHAhZ0QAAIHoFFT6Kioo0bdo05efn+7U3NTWpq6vLrz0nJ0eDBg1SQ0ND7yoFAADXhfhAT9i+fbsOHz6sQ4cO/ajP4XCoX79+6t+/v1+71WqVw+G47Hwej0cej8f32O12B1oSAACIIgHtfLS2turxxx/Xtm3blJiYGJICKisrZbFYfIfNZgvJvAAAoG8KKHw0NTXp7NmzGj16tOLj4xUfH6/6+nqtW7dO8fHxslqtunTpktrb2/3OczqdyszMvOycZWVlcrlcvqO1tTXoHwYAAPR9Ab3tMmXKFB07dsyv7cEHH1ROTo6efPJJ2Ww2JSQkqK6uToWFhZKk5uZmnTlzRrm5uZed02QyyWQyBVk+AACINgGFj5SUFA0fPtyvLSkpSenp6b72uXPnqrS0VGlpaUpNTVVxcbFyc3M1fvz40FUNAACiVsAXnF7N2rVrFRsbq8LCQnk8HhUUFOill14K9dMAAIAo1evwsXfvXr/HiYmJqq6uVnV1dW+nBgAA1yG+2wUAABiK8AEAAAxF+AAAAIYifAAAAEMRPgAAgKEIHwAAwFCEDwAAYCjCBwAAMBThAwAAGIrwAQAADEX4AAAAhiJ8AAAAQxE+AACAoQgfAADAUIQPAABgKMIHAAAwFOEDAAAYivABAAAMRfgAAACGInwAAABDET4AAIChCB8AAMBQhA8AAGAowgcAADAU4QMAABiK8AEAAAxF+AAAAIYifAAAAEMFFD4qKys1duxYpaSkKCMjQzNnzlRzc7PfmM7OThUVFSk9PV3JyckqLCyU0+kMadEAACB6BRQ+6uvrVVRUpAMHDuj9999XV1eXpk6dqo6ODt+YhQsX6u2339aOHTtUX1+vtrY2zZo1K+SFAwCA6BQfyOA9e/b4PX7llVeUkZGhpqYm3XHHHXK5XNqyZYtqa2s1efJkSVJNTY2GDh2qAwcOaPz48aGrHAAARKVeXfPhcrkkSWlpaZKkpqYmdXV1KT8/3zcmJydHgwYNUkNDw2Xn8Hg8crvdfgcAALh+BR0+enp6VFJSookTJ2r48OGSJIfDoX79+ql///5+Y61WqxwOx2XnqayslMVi8R02my3YkgAAQBQI6G2Xv1ZUVKTjx49r3759vSqgrKxMpaWlvsdut5sAEkEXu7olSce/cgU9R2dXt748d1EDB5iVmBAX1Byfnb0Q9PMDAPq2oMLH/PnztXv3bn344YcaOHCgrz0zM1OXLl1Se3u73+6H0+lUZmbmZecymUwymUzBlIEwOP3//9Nf/B/HIlzJd5JMQedjAEAfFdDK7vV6VVxcrJ07d2rv3r2y2+1+/WPGjFFCQoLq6upUWFgoSWpubtaZM2eUm5sbuqoRNlOHfRcSB2cky9yLXYuS14+o6t6RuiUjOehakkzxsv9NUtDnAwD6poDCR1FRkWpra/Xmm28qJSXFdx2HxWKR2WyWxWLR3LlzVVpaqrS0NKWmpqq4uFi5ubnc6RIl0pL6afavB4VkrlsykjX8F5aQzAUAuH4EFD42bNggSbrzzjv92mtqavTAAw9IktauXavY2FgVFhbK4/GooKBAL730UkiKBQAA0S/gt12uJjExUdXV1aqurg66KAAAcP3iu10AAIChCB8AAMBQhA8AAGAowgcAADAU4QMAABiK8AEAAAxF+AAAAIYifAAAAEMRPgAAgKEIHwAAwFCEDwAAYKiAvtsFkKSLl7p1+usLV+z/7OwFvz9/yuAbk2XuFxey2gAAfR/hAwE7/fUFTV+/76rjSl4/ctUxu4vzNPwXlhBUBQCIFoQPBGzwjcnaXZx3xf7Orm59ee6iBg4wKzHhp3c1Bt+YHOryAAB9HOEDATP3i7vqbsXtNxtTCwAg+nDBKQAAMBThAwAAGIrwAQAADNXnrvnwer2SJLfbHeFKgJ+v73//vv99BIBQ6nPh4/z585Ikm80W4UoAnD9/XhYLt0IDCK0Ybx97adPT06O2tjalpKQoJiYm0uUgCG63WzabTa2trUpNTY10OQiC1+vV+fPnlZ2drdhY3p0FEFp9Lnwg+rndblksFrlcLsIHAOBHeEkDAAAMRfgAAACGInwg5Ewmk55++mmZTKZIlwIA6IO45gMAABiKnQ8AAGAowgcAADAU4QMAABiK8AEAAAxF+EDAuru7NWHCBM2aNcuv3eVyyWaz6amnntL//d//6R/+4R+UnZ0tk8kkm82m+fPn8509AADudkFwTp48qZEjR2rz5s2aM2eOJOlf/uVfdPToUR06dEgdHR3avn27xo4dqxtvvFGfffaZioqKNHr0aNXW1ka4egBAJBE+ELR169bpmWee0SeffKKDBw/q7rvv1qFDh/SrX/3qiuP/7d/+Ta2trQZXCgDoSwgfCJrX69XkyZMVFxenY8eOqbi4WEuWLLns2La2Nv32t7/VwIED9dprrxlcKQCgLyF8oFf++7//W0OHDtWIESN0+PBhxcfH+/X/5je/0ZtvvqmLFy/qrrvu0htvvKHExMQIVQsA6Au44BS98oc//EE33HCDWlpa9OWXX/6of+3atTp8+LDefPNNnT59WqWlpRGoEgDQl7DzgaDt379ff//3f6//+q//0vLlyyVJf/rTnxQTE3PZ8fv27dPf/d3fqa2tTVlZWUaWCgDoQ9j5QFC++eYbPfDAA3r00Uc1adIkbdmyRQcPHtTGjRuveE5PT48kyePxGFUmAKAPYucDQXn88cf1n//5nzp69KhuuOEGSdLLL7+s3//+9zp27JhOnDghp9OpsWPHKjk5WZ988omeeOIJpaWlad++fRGuHgAQSYQPBKy+vl5TpkzR3r17lZeX59dXUFCgb7/9VkuWLNFTTz2lEydOyOPxyGazadasWVq8eLH69+8fmcIBAH0C4QMAABiKaz4AAIChCB8AAMBQhA8AAGAowgcAADAU4QMAABiK8AEAAAxF+AAAAIYifAAAAEMRPgAAgKEIHwAAwFCEDwAAYCjCBwAAMNT/A5gdlKNll4e4AAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 640x480 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dataset.plot(\n",
" kind='box',\n",
" subplots=True,\n",
" layout=(2,2),\n",
" sharex=False,\n",
" sharey=False)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "21f9b7b2-0c9d-415d-b1af-e232da8c4c84",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dataset.hist()\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "29cdddd4-1736-4949-bcd9-47e2860b69e8",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 9 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"scatter_matrix(dataset)\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "a9158a56-e1df-4560-b30b-cf23e1a8e5b5",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[31.476 54.139 78.319 'A']\n",
" [14.403 68.74 89.788 'A']\n",
" [10.89 74.881 73.673 'A']\n",
" [41.83 53.688 78.826 'A']\n",
" [27.202 80.607 74.573 'A']]\n",
"\n",
"[[31.476 54.139 78.319]\n",
" [14.403 68.74 89.788]\n",
" [10.89 74.881 73.673]\n",
" [41.83 53.688 78.826]\n",
" [27.202 80.607 74.573]]\n",
"\n",
"['A' 'A' 'A' 'A' 'A']\n",
"['B' 'B' 'B' 'B' 'B']\n"
]
}
],
"source": [
"array = dataset.values\n",
"print(array[:5])\n",
"print()\n",
"\n",
"X = array[:,0:3]\n",
"print(X[:5])\n",
"print()\n",
"\n",
"y = array[:,3]\n",
"print(y[:5])\n",
"print(y[-5:])"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "90dff4be-36c8-4e75-8088-cbcc54eb506e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"800\n",
"200\n",
"0.2\n"
]
}
],
"source": [
"array = dataset.values\n",
"X = array[:,0:3]\n",
"y = array[:,3]\n",
"X_train, X_validation, Y_train, Y_validation = train_test_split(\n",
" X, y, test_size=0.20,\n",
" random_state=1\n",
")\n",
"print(len(Y_train))\n",
"print(len(Y_validation))\n",
"print(len(Y_validation) / (len(Y_train) + len(Y_validation)))"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "73bf904b-d9a7-47a1-9e1c-4bbd62768441",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"LR: 1.000000 (0.000000)\n",
"LDA: 1.000000 (0.000000)\n",
"KNN: 1.000000 (0.000000)\n",
"CART: 1.000000 (0.000000)\n",
"NB: 1.000000 (0.000000)\n",
"SVM: 0.893750 (0.036336)\n"
]
}
],
"source": [
"models = []\n",
"models.append(('LR', LogisticRegression(solver='liblinear', multi_class='ovr')))\n",
"models.append(('LDA', LinearDiscriminantAnalysis()))\n",
"models.append(('KNN', KNeighborsClassifier()))\n",
"models.append(('CART', DecisionTreeClassifier()))\n",
"models.append(('NB', GaussianNB()))\n",
"models.append(('SVM', SVC(gamma='auto')))\n",
"\n",
"results = []\n",
"names = []\n",
"for name, model in models:\n",
" kfold = StratifiedKFold(n_splits=10, random_state=1,\n",
" shuffle=True)\n",
" cv_results = cross_val_score(model, X_train, Y_train,\n",
" cv=kfold, scoring='accuracy')\n",
" results.append(cv_results)\n",
" names.append(name)\n",
" print('%s: %f (%f)' % (name, cv_results.mean(), cv_results.std()))"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "2225252c-f115-4a68-9a70-51a066146644",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.boxplot(results, labels=names)\n",
"plt.title('Algorithm Comparison')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "004bc202-36f1-497a-8926-ad4c0cef0c93",
"metadata": {},
"source": [
"### Make table to summarize results using LR, LDA, KNN, CART, NB, and SVM while determining A and B classes with X3 column."
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "2ed904a3-b8f0-4a4c-8053-e1e80a34f579",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 1.0\n",
"\n",
"confusion matrix =\n",
" [[ 96 0]\n",
" [ 0 104]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" A 1.00 1.00 1.00 96\n",
" B 1.00 1.00 1.00 104\n",
"\n",
" accuracy 1.00 200\n",
" macro avg 1.00 1.00 1.00 200\n",
"weighted avg 1.00 1.00 1.00 200\n",
"\n"
]
}
],
"source": [
"model = LogisticRegression(\n",
" solver = 'liblinear', multi_class='ovr')\n",
"model.fit(X_train, Y_train)\n",
"predictions = model.predict(X_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" Y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" Y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" Y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "54a186d1-bd45-415b-89e6-a8325d9c2bb4",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 1.0\n",
"\n",
"confusion matrix =\n",
" [[ 96 0]\n",
" [ 0 104]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" A 1.00 1.00 1.00 96\n",
" B 1.00 1.00 1.00 104\n",
"\n",
" accuracy 1.00 200\n",
" macro avg 1.00 1.00 1.00 200\n",
"weighted avg 1.00 1.00 1.00 200\n",
"\n"
]
}
],
"source": [
"model = LinearDiscriminantAnalysis()\n",
"model.fit(X_train, Y_train)\n",
"predictions = model.predict(X_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" Y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" Y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" Y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "75e85750-2690-4d18-8fd5-e9c6270e2074",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 1.0\n",
"\n",
"confusion matrix =\n",
" [[ 96 0]\n",
" [ 0 104]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" A 1.00 1.00 1.00 96\n",
" B 1.00 1.00 1.00 104\n",
"\n",
" accuracy 1.00 200\n",
" macro avg 1.00 1.00 1.00 200\n",
"weighted avg 1.00 1.00 1.00 200\n",
"\n"
]
}
],
"source": [
"model = KNeighborsClassifier()\n",
"model.fit(X_train, Y_train)\n",
"predictions = model.predict(X_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" Y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" Y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" Y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "6a152e95-6b8c-4546-b4da-b253e1c757b3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 1.0\n",
"\n",
"confusion matrix =\n",
" [[ 96 0]\n",
" [ 0 104]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" A 1.00 1.00 1.00 96\n",
" B 1.00 1.00 1.00 104\n",
"\n",
" accuracy 1.00 200\n",
" macro avg 1.00 1.00 1.00 200\n",
"weighted avg 1.00 1.00 1.00 200\n",
"\n"
]
}
],
"source": [
"model = DecisionTreeClassifier()\n",
"model.fit(X_train, Y_train)\n",
"predictions = model.predict(X_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" Y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" Y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" Y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "146d880e-23ba-4d64-84ac-172dfd2be9f1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 1.0\n",
"\n",
"confusion matrix =\n",
" [[ 96 0]\n",
" [ 0 104]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" A 1.00 1.00 1.00 96\n",
" B 1.00 1.00 1.00 104\n",
"\n",
" accuracy 1.00 200\n",
" macro avg 1.00 1.00 1.00 200\n",
"weighted avg 1.00 1.00 1.00 200\n",
"\n"
]
}
],
"source": [
"model = GaussianNB()\n",
"model.fit(X_train, Y_train)\n",
"predictions = model.predict(X_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" Y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" Y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" Y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "dbd74b30-6b6a-408c-8110-0c4f941f36eb",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 0.925\n",
"\n",
"confusion matrix =\n",
" [[ 81 15]\n",
" [ 0 104]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" A 1.00 0.84 0.92 96\n",
" B 0.87 1.00 0.93 104\n",
"\n",
" accuracy 0.93 200\n",
" macro avg 0.94 0.92 0.92 200\n",
"weighted avg 0.93 0.93 0.92 200\n",
"\n"
]
}
],
"source": [
"model = SVC(gamma='auto')\n",
"model.fit(X_train, Y_train)\n",
"predictions = model.predict(X_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" Y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" Y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" Y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "8ef1aaf3-7786-459f-bd2c-08f1004eedff",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 9 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"scatter_matrix(dataset)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "221b7410-25a2-444a-a7e7-01fb0955c080",
"metadata": {},
"source": [
"### Make table to summarize results using LR, LDA, KNN, CART, NB, and SVM while determining A and B classes without X3 column."
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "2104603e-ad7c-498c-a8e2-87e5a9bbf369",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[31.476 54.139 78.319 'A']\n",
" [14.403 68.74 89.788 'A']\n",
" [10.89 74.881 73.673 'A']\n",
" [41.83 53.688 78.826 'A']\n",
" [27.202 80.607 74.573 'A']]\n",
"\n",
"[[31.476 54.139]\n",
" [14.403 68.74]\n",
" [10.89 74.881]\n",
" [41.83 53.688]\n",
" [27.202 80.607]]\n",
"\n",
"['A' 'A' 'A' 'A' 'A']\n",
"['B' 'B' 'B' 'B' 'B']\n"
]
}
],
"source": [
"array = dataset.values\n",
"print(array[:5])\n",
"print()\n",
"\n",
"X = array[:,0:2]\n",
"print(X[:5])\n",
"print()\n",
"\n",
"y = array[:,3]\n",
"print(y[:5])\n",
"print(y[-5:])"
]
},
{
"cell_type": "code",
"execution_count": 46,
"id": "5e93901f-eee8-4df5-817d-0b2d06b3e257",
"metadata": {},
"outputs": [],
"source": [
"array = dataset.values\n",
"X = array[:,0:2]\n",
"Y = array[:,3]\n",
"X_train, X_validation, Y_train, Y_validation = train_test_split(\n",
"X, Y, test_size=0.20, \n",
"random_state=1\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 47,
"id": "38ea886d-a9e2-4bf0-ad9b-94676198dc10",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"LR: 0.881250 (0.030746)\n",
"LDA: 0.885000 (0.026101)\n",
"KNN: 0.891250 (0.027979)\n",
"CART: 0.858750 (0.026250)\n",
"NB: 0.888750 (0.026487)\n",
"SVM: 0.872500 (0.018371)\n"
]
}
],
"source": [
"models = []\n",
"models.append(('LR', LogisticRegression(solver='liblinear', multi_class='ovr')))\n",
"models.append(('LDA', LinearDiscriminantAnalysis()))\n",
"models.append(('KNN', KNeighborsClassifier()))\n",
"models.append(('CART', DecisionTreeClassifier()))\n",
"models.append(('NB', GaussianNB()))\n",
"models.append(('SVM', SVC(gamma='auto')))\n",
"\n",
"results = []\n",
"names = []\n",
"for name, model in models:\n",
" kfold = StratifiedKFold(n_splits=10, random_state=1,\n",
" shuffle=True)\n",
" cv_results = cross_val_score(model, X_train, Y_train,\n",
" cv=kfold, scoring='accuracy')\n",
" results.append(cv_results)\n",
" names.append(name)\n",
" print('%s: %f (%f)' % (name, cv_results.mean(), cv_results.std()))"
]
},
{
"cell_type": "code",
"execution_count": 48,
"id": "9bd41199-8f33-4c56-86ce-f0deba94f203",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.boxplot(results, labels=names)\n",
"plt.title('Algorithm Comparison')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 49,
"id": "145a8b35-2602-4b80-992e-c30688f37ee8",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 0.875\n",
"\n",
"confusion matrix =\n",
" [[85 11]\n",
" [14 90]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" A 0.86 0.89 0.87 96\n",
" B 0.89 0.87 0.88 104\n",
"\n",
" accuracy 0.88 200\n",
" macro avg 0.87 0.88 0.87 200\n",
"weighted avg 0.88 0.88 0.88 200\n",
"\n"
]
}
],
"source": [
"model = LogisticRegression(\n",
" solver = 'liblinear', multi_class='ovr')\n",
"model.fit(X_train, Y_train)\n",
"predictions = model.predict(X_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" Y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" Y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" Y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "5c27ee92-60ab-4145-b3e2-2325511f6f8e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 0.87\n",
"\n",
"confusion matrix =\n",
" [[85 11]\n",
" [15 89]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" A 0.85 0.89 0.87 96\n",
" B 0.89 0.86 0.87 104\n",
"\n",
" accuracy 0.87 200\n",
" macro avg 0.87 0.87 0.87 200\n",
"weighted avg 0.87 0.87 0.87 200\n",
"\n"
]
}
],
"source": [
"model = LinearDiscriminantAnalysis()\n",
"model.fit(X_train, Y_train)\n",
"predictions = model.predict(X_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" Y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" Y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" Y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 51,
"id": "49e10aea-b5d5-4b3c-b518-0fe62426df09",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 0.85\n",
"\n",
"confusion matrix =\n",
" [[86 10]\n",
" [20 84]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" A 0.81 0.90 0.85 96\n",
" B 0.89 0.81 0.85 104\n",
"\n",
" accuracy 0.85 200\n",
" macro avg 0.85 0.85 0.85 200\n",
"weighted avg 0.85 0.85 0.85 200\n",
"\n"
]
}
],
"source": [
"model = KNeighborsClassifier()\n",
"model.fit(X_train, Y_train)\n",
"predictions = model.predict(X_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" Y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" Y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" Y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 52,
"id": "b52a32d2-5fa3-49c6-9eaa-9aec3cb35e00",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 0.85\n",
"\n",
"confusion matrix =\n",
" [[88 8]\n",
" [22 82]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" A 0.80 0.92 0.85 96\n",
" B 0.91 0.79 0.85 104\n",
"\n",
" accuracy 0.85 200\n",
" macro avg 0.86 0.85 0.85 200\n",
"weighted avg 0.86 0.85 0.85 200\n",
"\n"
]
}
],
"source": [
"model = DecisionTreeClassifier()\n",
"model.fit(X_train, Y_train)\n",
"predictions = model.predict(X_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" Y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" Y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" Y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 53,
"id": "0de66ec2-c2be-437f-90fd-f939de4255ea",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 0.87\n",
"\n",
"confusion matrix =\n",
" [[85 11]\n",
" [15 89]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" A 0.85 0.89 0.87 96\n",
" B 0.89 0.86 0.87 104\n",
"\n",
" accuracy 0.87 200\n",
" macro avg 0.87 0.87 0.87 200\n",
"weighted avg 0.87 0.87 0.87 200\n",
"\n"
]
}
],
"source": [
"model = GaussianNB()\n",
"model.fit(X_train, Y_train)\n",
"predictions = model.predict(X_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" Y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" Y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" Y_validation, predictions))"
]
},
{
"cell_type": "code",
"execution_count": 54,
"id": "d7d5d547-5981-4c1d-b1af-b7e8fc0ec5e8",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accuracy = 0.835\n",
"\n",
"confusion matrix =\n",
" [[82 14]\n",
" [19 85]]\n",
"\n",
"report =\n",
" precision recall f1-score support\n",
"\n",
" A 0.81 0.85 0.83 96\n",
" B 0.86 0.82 0.84 104\n",
"\n",
" accuracy 0.83 200\n",
" macro avg 0.84 0.84 0.83 200\n",
"weighted avg 0.84 0.83 0.84 200\n",
"\n"
]
}
],
"source": [
"model = SVC(gamma='auto')\n",
"model.fit(X_train, Y_train)\n",
"predictions = model.predict(X_validation)\n",
"print(\"accuracy =\",\n",
" accuracy_score(\n",
" Y_validation, predictions))\n",
"print(\"\\nconfusion matrix =\\n\",\n",
" confusion_matrix(\n",
" Y_validation, predictions))\n",
"print(\"\\nreport =\\n\",\n",
" classification_report(\n",
" Y_validation, predictions))"
]
},
{
"cell_type": "markdown",
"id": "a0dcefab-b533-4bc7-a02b-c3416f1d3cb6",
"metadata": {},
"source": [
"The importance of X3 column in making good prediction is because the feature of X3 can separate the A and B classes clearly"
]
},
{
"cell_type": "markdown",
"id": "051aae94-0e4e-4ba8-ad86-5e001a460aee",
"metadata": {},
"source": [
"Firman Andrian\n",
"21181094"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.11.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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