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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Decision Tree Algorithm\n",
"### By Ogi Moore"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Example Dataset\n",
"\n",
"[Backorder prediction dataset][1] - https://www.kaggle.com/tiredgeek/predict-bo-trial\n",
"\n",
"Dataset Variables:\n",
"\n",
"* 1 - Unique Identifier for each part:\n",
"* 16 - Continuous variables (forcast, sales, etc)\n",
"* 5 - Binary flags relating\n",
"* Output - Went on backorder (target value)\n",
"\n",
"\n",
"[1]: <https://www.kaggle.com/tiredgeek/predict-bo-trial> \"Backorder prediction\""
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"## Changes\n",
"\n",
"Removed binary flags parameters due to mixture of continuous and categorical values, was not sure how to handle that, and when doing a first principles implementation, wasn't sure I could figure it out in due time."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Criminally Simple Exploratory Data Analysis"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"training_data = './data/Kaggle_Training_Dataset_v2.csv'\n",
"test_data = './data/Kaggle_Test_Dataset_v2.csv'\n",
"\n",
"train_df = (pd.read_csv(training_data, \n",
" index_col=0, \n",
" engine='c', \n",
" dtype={'sku': str})\n",
" .fillna(value=0))\n",
" \n",
"\n",
"test_df = (pd.read_csv(test_data, \n",
" index_col=0, \n",
" engine='c', \n",
" dtype={'sku': str})\n",
" .fillna(value=0))\n",
"\n",
"cols_to_drop = ['potential_issue', \n",
" 'deck_risk', \n",
" 'stop_auto_buy', \n",
" 'rev_stop', \n",
" 'oe_constraint', \n",
" 'ppap_risk', \n",
" 'went_on_backorder']\n",
"\n",
"X_train = train_df.drop(cols_to_drop, axis=1)\n",
"Y_train = train_df[['went_on_backorder']].replace(['Yes', 'No'], [1, 0])\n",
"\n",
"X_test = test_df.drop(cols_to_drop, axis=1)\n",
"Y_test = test_df[['went_on_backorder']].replace(['Yes', 'No'], [1, 0])"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
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" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>national_inv</th>\n",
" <th>lead_time</th>\n",
" <th>in_transit_qty</th>\n",
" <th>forecast_3_month</th>\n",
" <th>forecast_6_month</th>\n",
" <th>forecast_9_month</th>\n",
" <th>sales_1_month</th>\n",
" <th>sales_3_month</th>\n",
" <th>sales_6_month</th>\n",
" <th>sales_9_month</th>\n",
" <th>min_bank</th>\n",
" <th>pieces_past_due</th>\n",
" <th>perf_6_month_avg</th>\n",
" <th>perf_12_month_avg</th>\n",
" <th>local_bo_qty</th>\n",
" </tr>\n",
" <tr>\n",
" <th>sku</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" <td>0.10</td>\n",
" <td>0.13</td>\n",
" <td>0.0</td>\n",
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" <th>1044048</th>\n",
" <td>8.0</td>\n",
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" <td>0.87</td>\n",
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],
"text/plain": [
" national_inv lead_time in_transit_qty forecast_3_month \\\n",
"sku \n",
"1026827 0.0 0.0 0.0 0.0 \n",
"1043384 2.0 9.0 0.0 0.0 \n",
"1043696 2.0 0.0 0.0 0.0 \n",
"1043852 7.0 8.0 0.0 0.0 \n",
"1044048 8.0 0.0 0.0 0.0 \n",
"1044198 13.0 8.0 0.0 0.0 \n",
"1044643 1095.0 0.0 0.0 0.0 \n",
"1045098 6.0 2.0 0.0 0.0 \n",
"1045815 140.0 0.0 0.0 15.0 \n",
"1045867 4.0 8.0 0.0 0.0 \n",
"\n",
" forecast_6_month forecast_9_month sales_1_month sales_3_month \\\n",
"sku \n",
"1026827 0.0 0.0 0.0 0.0 \n",
"1043384 0.0 0.0 0.0 0.0 \n",
"1043696 0.0 0.0 0.0 0.0 \n",
"1043852 0.0 0.0 0.0 0.0 \n",
"1044048 0.0 0.0 0.0 0.0 \n",
"1044198 0.0 0.0 0.0 0.0 \n",
"1044643 0.0 0.0 0.0 0.0 \n",
"1045098 0.0 0.0 0.0 0.0 \n",
"1045815 114.0 152.0 0.0 0.0 \n",
"1045867 0.0 0.0 0.0 0.0 \n",
"\n",
" sales_6_month sales_9_month min_bank pieces_past_due \\\n",
"sku \n",
"1026827 0.0 0.0 0.0 0.0 \n",
"1043384 0.0 0.0 0.0 0.0 \n",
"1043696 0.0 0.0 0.0 0.0 \n",
"1043852 0.0 0.0 1.0 0.0 \n",
"1044048 0.0 4.0 2.0 0.0 \n",
"1044198 0.0 0.0 0.0 0.0 \n",
"1044643 0.0 0.0 4.0 0.0 \n",
"1045098 0.0 0.0 0.0 0.0 \n",
"1045815 0.0 0.0 0.0 0.0 \n",
"1045867 0.0 0.0 0.0 0.0 \n",
"\n",
" perf_6_month_avg perf_12_month_avg local_bo_qty \n",
"sku \n",
"1026827 -99.00 -99.00 0.0 \n",
"1043384 0.99 0.99 0.0 \n",
"1043696 -99.00 -99.00 0.0 \n",
"1043852 0.10 0.13 0.0 \n",
"1044048 -99.00 -99.00 0.0 \n",
"1044198 0.82 0.87 0.0 \n",
"1044643 -99.00 -99.00 0.0 \n",
"1045098 0.00 0.00 0.0 \n",
"1045815 -99.00 -99.00 0.0 \n",
"1045867 0.82 0.87 0.0 "
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"X_train.head(10)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Training Samples:\t 1687861\n",
"Test Samples:\t\t 242076\n",
"\n",
"\n",
"Distribution of outcomes\n"
]
},
{
"data": {
"text/plain": [
"0 1676568\n",
"1 11293\n",
"Name: went_on_backorder, dtype: int64"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print(f'Training Samples:\\t {X_train.shape[0]}')\n",
"print(f'Test Samples:\\t\\t {X_test.shape[0]}')\n",
"\n",
"print('\\n')\n",
"print('Distribution of outcomes')\n",
"Y_train['went_on_backorder'].value_counts()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Premade Library Usage\n",
"\n",
"### scikit-learn is the most amazing library ever ...let me show you why\n",
"\n",
"* Scikit-Learn is the largest machine-learning library in python\n",
"* Their documentation is incredibly useful **even if not using the library**\n",
"* Their methods are generally very fast\n",
"\n",
"http://scikit-learn.org/stable/modules/tree.html"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Classification Training took 15.9 seconds\n"
]
}
],
"source": [
"from sklearn import tree\n",
"from timeit import default_timer as timer\n",
"\n",
"start_time = timer()\n",
"classifier = tree.DecisionTreeClassifier()\n",
"classifier.fit(X_train.values, Y_train.values)\n",
"finish_time = timer()\n",
"\n",
"print(f'Classification Training took {(finish_time - start_time):{4}.{3}} seconds')"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"## Evaluation"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Classification score: 0.987\n"
]
}
],
"source": [
"score = classifier.score(X_test.values, Y_test.values)\n",
"print(f'Classification score: {score:{5}.{3}}')"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Confusion Matrix\n"
]
},
{
"data": {
"text/plain": [
"array([[238620, 768],\n",
" [ 2446, 242]])"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.metrics import confusion_matrix\n",
"print('Confusion Matrix')\n",
"confusion_matrix(Y_test.values, \n",
" classifier.predict(X_test.values))"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"scrolled": false,
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
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6LRRDQkJmzpyZlJS0b98+R0fHZ73Jk05ztra2TkhIuHTp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fWNS0c0taQV1zXyhWIjBq25PJFRzkkqZuvR27lBpZIJ2ZUcvlBMJuIRQpkVnGcZTTVBKokw3Yx+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\njUfv77qUnvbDEg+jPOYLB3P57qNHj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4XrPeBGhnmq1JqSuiaDygQ8Lv3Hpf9ePFJ7RChV\npJfxAtyckGygE5X07ZJR3y4Z9f4MQ5nU6bm6iKSKd36/vnxcRFyIR/fvEcWYRxWt8/6brRPvlf33\nUa25yvrxnsuFbP7a4wX27Y9aAyV8qVGQ5mg+3jNbudOmHMn4r6f6fz3V/53RemaPUN4oJROwFAI2\nKYd/4End44pWpcpuy+CiWKDPahCDpkRy1ftnipZGc4b5dmRh1Br4x4kCTyfS5wm+drg3lC7xqLx5\n7m9p5QLp0hj3dj1i9tVsmUDy+qHsYX5OW2YExoe4ns/ivXk01779UWugpEEyMkBvIOEIf2eVWlPK\nl9hauYwvJROwFCL2QhbvwGPu4/JmRbvr09EjmicVLQcec3X1iEKlWRHn+dYob92Wq5qkAEAm9Lpc\nR1+jz/rVPpLb6XUjEzdfLmc6EC6+EeVEwQPAlDDXpQdySXjTjqCySfZJvM87o9sW25LI1Rdz+UKZ\nikaym8JsECmUag3TQc8OkI+1RrvvWa5suRQxxJSq1tXQMQTsflkzANS1ygk4zGf6D2++SLHrbjUR\nj50cxuj2XaJ0wubkYqYDMXntkDazDGcu/TPTrFk2Sj+Z4P/u2La/l1iuupjDs7NZCk3YEoNmxiwt\nVhaIFUq1BjQwfU9qZk0rUurrStmZGDbY29Fyqb1uBwXhqwu5TBrx0rsjnCgEAJga6bb498dmzUwg\n+XRy8HsJSNrOVyxXJWXWCmVKGsluXr1BKFeqNUya3js65KPlnZrNsfWv4rTK5qvvjSBYnC27+2ZJ\ns0Tx4YS2QWoEHNYg+cgXyndeLyHisVMiOV3oBsrGo/dZdMrVL+c5O5AAYNqQfgt/TCKZycxWNLR+\nPi/m/Rlt46nFMsWFlBKhVEEj220Ft4YWiVKlZtL1lr5mOVIAgNtomLbGYTHuLm0rMf10/mlOFf9J\nUZ1Srd7++oROL2TTuTsvpTWJZB/Pju7CHaFYQ3u8118n3svrLN5rC7tf6Hiv056U8aUYgLitqU0S\nJXIklEPdPjcw3K3zza9QukOf1SAGTe25W9MsVb4/Vi81s+1WVVqN8NKaAQTciyR0XzI2J5cwHYjJ\nawfbokfaJqqL5eoe0CNypVpjsIBmu8QwXA2208plAgkGYNj/PdS6vjCOw/b5oeHuNB098jSzRoiU\n+rqSET1CwGE+n+iv2yxfpNh5u5KIx04O03sjjvLs6bN+tY/kdnpXMrGiUfq0qvWTeB/E2gBgfJBL\nCJtaZpQnRsBiYHVcx5CB/h4OSTl8iUJtweCUKs3NYsORDggYDIwPMpwxJxApAICu3yCdjAMAnlBh\nU2XLpSwaYWoY40J2wx4PWuIglkoNx9LqD6XUAYBQpjK40O2S5o/PFVc1SX+aHYQM/UXpOSoapSmV\nLZ9O8NeaZXwII4TtgIzGNwaLwbwxomM3iShPelI2T6Kw5AcVKs3NIoG51sYHG25BwBcrAMAgbeRI\nxgMAT2joBy1XRuoffVo7PZK1a0EYh066U9z44en81Yezb7w71HIp3X55K5QKgTilvOmzKSFIJhEA\n4sNYIW60sgbTO5lgMZg1YzoipygvpwsZtRK5ykIyUaHS3CwwPTUJi8GMD2UZHOQL5QCATDTWQicT\nAIAnNIwRO+VJeeOPVwu/mRMRxDG7eQsA1LfKdt0oeXt8AINm2rPdKmz48HhWVaNk64IoZFo3ik2U\n81qeFNf9a14skkkEgIQon1BP19L6ZpP1sRjM2kkdG90M8GOdf1IikSstJBMVKvWNrEqTRRgMJiHK\nx+BgQ6sEAAymEiMf61tMu1mEBwXckvpmbpMowpuh1tg2dMvyufXN4h3J6e9OG8Sgm93dD6U7VDTK\nbI/3OsLxbsd7mPFBhmtymQnSkGellfFeW2WbmjKmrFGq1sDH472nhDPwWMyVPMGGS2WrjuT/9dYA\nByI6HLun6MsaRPdgvVCx517NP0Z6MnQUckpl6083KrdM6xfEQl3ic8OUHnG1qEdAX4/QekyP6DXY\nmR4xW7mML1Fr4OMJ/lPDmXgc5kou/8ukopUHs/9+J9qMHilYfTjnxrtDDQz7dnHjR6cLqpqkP80L\ndUeXd3+u9GW/2kdyO70rF1AqkAJAoP6DKpBJMWdwbDqRojN6GWvFLvetMtVrB02P8SbhscjsfV2c\nKXgAEMr1/uSIBThTDM3acuVOm/r3jH7NUuXmK2Wbr5QBgAsV/85or603qzj0jsd5VZPs86SSvwsa\ng1iUEysiY33R0WE9TmmDGAACWXpLeASyqOYe3mw6kaIzxsea1WOFMuVrf5qeZkjCY5GVGXVxMWVL\nrVIlADiRDX/UlitTiTgA6Mek7kwMR942Tw5n8kWKj87kX87hx/g5WSh9ZRA6LsxulCBmpr/5XRDb\nbDKR40iy3cwUS35/YrKIhMciKzPq4kwlAIBQptRrRKoEAGeKbaPSWqTKtQfTEsLYr8UZJpIM+Pnv\nYgBYPcrPuKiqUfLpqey/cuuDOLTTb8XG+pvY5xelU0rqmgEgyEMvkxLk7mwumchxplKIHV7Fques\nRL7op4smi0gEHLIyoy4uDmQAEEr1YjjkozPVkgw4+sE0AKjiCxdvvTj3u/Mp3y02WGCxy+f+dP4p\nAKyZaIeleVBMUiqQQLfivc4v0SpTvXYwz2QRCY9FVmbUxUyQptQWWV/ZpqaMObkigozHaqXXwsFs\noVy1Ibnscl7j3Ch0lE1P0cc1iJbtt6oAYNWwjtx9q1S17kRBfLDLkmg06nuelDYgbtN6PUKy1USF\nMuVrf2aZLCLhscjKjLqYkRgqAHAyeuPYaeVTrw8kE3Rc3xA3oUz1ZVLR5Vw+su5hPyZlZ2KYvh4p\nuJzToNUjVU3Sz88V/ZXPD2JRT74+MNZPb/4pyrOnj/vVvpDb6V3JRGRlBAzo2Y0FKyLYvsuPCxVf\nvWm49fWZNAIWA3yRnsgRiJQA4Ga0/4Dlyp02xXQgHF0WkVLVmlsrYtGJsT6O1wobAUC7FOjJdN6n\nF0poJNwPswLnD2QZr/GE0hPIEbPUN0QL330XJoC4UAk1W8ZaX59JI2IxGL5I76WfQKwAAONXcJYr\nI6sjx/g66XYbySEW8kQz+rMslFrfYZROUSjVYOTuMObdH74rZkas/b+p1tdn0UlYDIav/24ZMSQ3\nG4cEHnhQUSmQzIhy33G9GDkikiurmyQ7rhf7MRymR7Utpy2Wq449qZo5wN14fOWJlOqPT2bRyfif\nEqMSoz1R79dl2iwNDBya2e/T8px0k7jSyA3/W2t9fZYjBYvB8Fv15BDyUTsrWYtUrmyVKpwdSNqO\neTFo/5wx5PVdV25kVy4YYWk5TivPFcsUR+7mz44JsONUbhQD2uM9PXog3ouzvn57kKb3+qQ9SDMc\nJmC5sk1NGWO8a8HIfk4AUFBv+t0Sil3o4xoEQSxXHU+rnxHB0B0HdCCltrJJNi2CsfNO23LhIrm6\nplm28061nyt5WviLNCPvhUauMhEo9oAeGWN9fSaNaMKu2iSGsdvspDLHyD0iCyzm14mmRTDBrB5p\nc4wn0+o+OVtIJ+F+nBsyfxAHDRR7A33cr/aF3E7vSiYiW9eV6K/YWtxgaZaTrdg6FBaPxQQyqQ/K\nW3QPPqxowWIgiGk41N9y5U6byqkVOZLx0d507Q4+d0qbiXhshJsDAFzOE7x3unBMgPPPc4MYDqjC\neXYEMCnQPnBMS5FdzdLWaQV4LCaQRX1YqjeS6GFZMxaDCWIZDsyxXJmEx3o6k+tb9WatIgkjdyeS\n5VIb7hClM/qxHACgRD9FW1wvtOMlbJ3mjMdiAtkOD0r0LPNhqQCLwQSxLU1VNkauVAPArhslugdF\nMvHXSfkTwtnaZOLp1JpWqfLVWG+D0y9l171zJGNsCHP7wgHmpj+jWEmAmxMAFNfqPQeLak0/FruG\nrdOc8ThskLvzvXy9VeQfFHCxGEywh+FD+VpW5WvbLv26dsKc2I59foh4LFiR97Ty3JMPilol8sWj\nwyy3htId+jEo8DzjPRPTnPFYTCCTYku8Z7ayTU0ZUNUk+6ugcYS/k+58UmSkg5cz+tjtQfq4BkE4\nk9nQKlMtGqw3AhFJB+y5q+eiRXLVN1fLE4Jd0GTiMyOASQWAEn2bLDIzf6Vr2E+PgC16BIJY1Kom\n6dU8wcgAZ90T210fmYTHejqT6lsNXm93jKK4nNvw7om8MUGu214JRWVy76GP+9W+kNvpXclEP1dK\nGId68EndsqFuyDux2yXNuXVic4t0dgFbh8ICwKtDOBsvlV4vahoX6AwA9a3y5Fx+fLCrydfLlitb\nLv3oXHFdq/zGPwYh955TKzqf1TB/AIvpQNBoYMvVci9n8h+Lw17EpPULjR+DEuZGO/CYuyzWs80s\nixtza4V2NEtbpzkDwOKh7huSiq4XCMYFuwJAXas8OachPsTV+KVKp5WXx3p8e7X0cXnzUF8nAFCp\nNbtvV+KxmBH9XDotRbEX/kxquDt9/4PK5cN9kXF5twobcritdjUz26Y5A8CSYd5fns29lsdDUo11\nLbKLmXUJYSxbFyt8LyGwfa+YNqI2/R3Ipp1aqzfT8HRqjasDcaivnmlpNLD5Qp6XC2X/ymjU+3Uf\nf45ThDfjjxs5K+MjkZF3N7Orsiv55jZg6QK2TnMGgKVjw784dPfvzIr4/j4AUNckTkopnTDA13hk\n4tBANzwOe+BW7uyYQOTltkYDB2/lYTGYIQGdTMGz8txTDwoZdHJMoJv1t4xiK36u5DAO9eCT+h6O\n92yY5gxtQVqZfpAmiA92MR/vma1sU1O6UAjYjZfKhnjRjy4LR0agqzXwyz0uAYdBxiei9BB9XIMg\nnMlscKUStLoX4Z3RXtr9EBAGff84gEk9sSLC1m8ApTv4MShhbg4HHtcsi/XQ0SMie+sRG6Y5Q5vE\nKDaSGAzzesR0Zb5IsfFi0RBvx6Mr2zb5UWtg750qAg4zKsAZAJbHeprRI84aDXx9qdTLmfzn0kg0\nUOxV9HG/2hdyO70rmYjFwL+nByT+kT3tl4xpEYxGsTI5lz/Ag1bR1JWdQ01i61BYAFg4iH0ktW7t\n8fwVMe40Eu5oar1KDe+PbXusnkjnrb9Yumyo26cJPp1Wtlz6wTjvZQdzx+9MmxLmKlGoz2U3OFHw\nyGZqBTxxcYMklE399EKJQfdmRjJHofFlT4LFYL6dGTR/X/rU3SnTI1mNYsXF7IYBnvSKRjuapW3T\nnAFgwWC3I0+4a4/mLB/mSSfhjqTUqtSaD8b7IaUnUuu+uFC4LNbjs4n9Oq28NMbjZFrd/H3pcwdw\n3B2JfxcIMqpb3x/vh7wbtFyKYi+wGMy38yJf2fNw8s/3ZkS5NYrlSZl1A7ydKvh2e31n6zRnAFg4\n1Pvwo6o3D6SuGOFLJ+MPP6pSazQfTmzbZ/l4SvUXZ3KWxfl8PtXS3FIrEctVD0sbE8JYBtMfCuqE\nxTxRqBv945OGAe6sge6jg9AVxGwDi8F899roOf85N2HTiZlDAwRC6YUnJQP9WRW8VntdwtZpzgDw\n6qjQQ7fyVu+6uiohkk4mHrqdp1JrtDspH7tX8NmBOyvGR3zxSizLkfLW5AHbklLjN55IiPLRgOav\njIrM8oaPZkX7sjpZaMaac8UyxcNCbkKUrxUL9aB0HSwG/j29X+IfOdN+yZwWwWgUK5JzBT0Q79kw\nzRnagrT6tccLVsS40Ui4o6k8lRq0e9qeSOetv1i2bChHJ94zW9lyqQUYDoRNk/3WJ5dN3psxKdRV\npdZcK2zKrhVtmOTn54puOdWD9HENAgBiuepRRUt8kAvq/XonWAx8OzNo/r6Mqbuf9qQesWGaM7RJ\njNq1R3OXD/Ogk/DtEqNtm9oTqXVfXChaFuvx2UR/y5UZDoRN0wLXXyiavCtlchhTqdZcKxBkc4Ub\npgb4MSgAsDTG/WRa3fx9GXMHsN0dSe16xDeIRc2vFxU3iEM5Dp+cLTTo3qwo1qgAdPTDc6OP+9W+\nkNvpXclEABjqQz+9MnLz5bJ9D7mRbrTfFobuvlMtUaifY5foZNypFZFfXSk7m9UgkqkGe9F/SQwJ\n5bRlUhQqdYtUKVWqrKlsuXR8kMv+JeE/3qg8klrv7UyaP4D99mgvNo0AAOWNUgDIqxfnGa2YE8Km\nvkAG94Iy1Nfp9OqBm5NL9t2vjnSn/b44Ytftyudrlo5k/KnVgzYlF5/LqBfKVIN9HH95NSKM0zaK\np80s23toubIjGX/mjUFbLpfcL22qb5WHchz2LoqYEcmyphTFjsT4uZx9a9imC3m/3ymL9HTat2zw\nrhslEv1lfZ8xjmT8mbeGbTyfezaNK5Qph/i6/PZacJh725gFhUrdLFFI7fRDuFvEV6jUxtuqlPFF\nAJBX25pXa5jtCnWjo8nELhAb5Hbh89kbjt7/9Wpmf1/mH+9M3nExTaK/084zxpFCPPfZrA1H7p1+\nWCSUKqIDOPv+MTHcq232nFypahbLpPK2Hq5/ZZgv0/F/N7J3X06nkgjBHi5/vD152hB/88130Om5\nd3Jr5Er1sGB3C42g2IWhPvTTKyM2Xy7f95Ab6ebw28KQ3XdqJIrn6fHoZNypFRFfXSk/m8UXyVSD\nvWi/JAbrxHuaFqlSqlRbU9lyqWWWxbgFs6l779UcflqvVGvCOdQjy8LRSO8Z0Jc1CADcK2tRqDQv\n3PL/fYp2PVKsr0eec6B4avXATcnF5zJ4QplysI/jL6+G6+gRjZEeMVt5eaxHMJu6907VoRSuUqUJ\nd6MdXRmlTQU6kvFn3hi45XLJ/dLmdj0SjuiRcr4UAPLqRHl1huu5h3Ic0GTi86Uv+9W+kNvBaDQa\n7Ydjx44tWLDA1uSufTmUUufPoMT5tT3J1BoY+fPTACZl/xJ09aLeyPmshjePF+haUddAbM/W0XnP\njENPuP4MSpx/2xJLao1mxI+PAlnU/a/1f74dQzHmXGb9m0dyum+TAJCYmCgtuPPr0kHdb8oaDj6s\n7Md0iAtoy6apNZq4b28Gsh0Orhr6bDqAYpnV+1PJwSOPHTvWzXYSExPlZU9/XzfRLr3qAvtv5gZw\nnIaHeiAf1RrN0I8PBbk7H3l/2vPqEooFmMt3Hz16NDExsZvttMd4tg3W6zkOpdT7M8j68V5qAJOy\nf0no8+0YSqecz+LbMfZ7vrpDF1SDvLjYW4/YNjrvmWGkR2DEjw9RPfKCsuZwDjlsrF2iSknOtb2J\ndpgk1BOgfvVlwnPDPYOI1G7z1e3FhWz+2uP514uaWqWqulb5V5fLyhulb430eN79QunTnM/ivXkk\n53qBoEWqrGuRfZVcXC6QrB3V+XwlFBTrOZ/OfeNA6rU8XotUWdsi3XQ+r5wvXje23/PuF8rLxrnH\nxat2Xfk7s6JFIq9tEm04cr+c1/L21GeUNEdBQbiQzV97vACN91B6D6gGQenlnM/ivXkkt12PyL9K\nLi4XSFE9gtKbQf3qy02vm+a8dW7Q2mP5S/bnIB/pZNzWOYFxfi/MUE+Ul5Kf54W+eSRn8R8ZyEdH\nMn7rvNDh/oZ7QaKgdIdtiwa8sT/11d8eIx8dyfhtC6OGB6D7JKLYmZ2rx6/adXXBD0nIR0cKccfr\n40eEooEdyjNl69zAtccKluxvWze9Pd5Dp1iiPDdQDYLSy2nXI217NqJ6BKX3g/rVl5tel0xk0wgn\nV0aWCaTljVIOnRjIoCCb2aGgPEfYdOKp1QPL+JJygYTjSApgUgmoWaLYGzaddOatYaUN4nKB2M2R\nFMCioWaG0hOwnajnP5tVWtdcxmtxc3YIdHcm4HrdNAWUlx42jXByZQQa76H0HlANgtLL0dEjUo4j\nEdUjKL0f1K++3PS6ZCKCnysZ3bQOpbfhx6AgG4qhoPQc/kyqPxPdKRulx/HnOPlz0DfDKM8ZNN5D\n6W2gNonSy0H1CMoLB+pXX1bQwQgoKCgoKCgoKCgoKCgoKCgoKCgoVvHyJxMX/pEdvzPtefdCD7lS\nLZarulaK8oKyYF/6+G2Pn3cv9OiOpXXZhosbxNxmWdcuitJ9Evc+Gvt/t593L2zAki3xRNxmqbkT\nLZei2Jd5358f9cXR592LDopqm2oEwq6VdhO5UiWWKXqocRRjFv6RE78z/Xn3AgWlg96mO4obJNwW\nuYUKqO7oayzYlzF+25Pn3YsOUGmA0im9za9aplOv23M8e3/eS6c5v8RIFerJe9OZDsQTKyI6LS1u\nkIzenmqynYRgly8n+Vko/WNxGAAU8iTfX6tIqWoVy9VhHOq6kZ7xwS72uxuUFxWpQj1p5xMWjXji\n9YHag/n1ov9cLU2tagWAaG/HD+L9QjkOVp5rZeni/2UsjfFYN9rHfreC8uJRWCf8z+WClPImsVwV\n6kZ/e3y/hDC2cTWpQjVh610WjXRqbaxx6aJfH78W5/2PcQEmL2G5FOXlZsEPScvGhr8zzfT+1OZK\nf/0rMymlNK203sOVtmR02BsT+uPbl5IsqGn896lHT4rrxDJlmJfru9MGTRjga9yyVK4cv/EEy5Fy\n9tNZ9r0jlF5Ofr34u78rU6uFABDtTX9/nFcou2O1ikKe5PtrlTqRmAcSiRU3SEZvN62OEoJd/lgc\nCgAiuWrL1YpbxU2tUtUQb/oXE337MTpmit0uaf75ZlUBT6JSa0LY1LUjPCaEdMR4lnuF0kdYciB3\nSTRn3UhPk6UmVUl2rWjvvZqMGmFNs9zXlbxwEHtZjBse27bM2e2S5p9vVupbnav2XMu6A1UlKMYs\n/l/m0hiPdaP19qTO5gr33KnKqG6taZb5MiiLhrgti/XQGmEhT/zd1bKUyhaxXBXm5rButHdCSMd2\nhZZLbxc3br1eUVAvUqk1IRyHt0Z5TwjV2+pw3/3q5JyG9OpWd0fSq0PdV8V5aq+L0sex7P20GHtd\nuVLd7+sHGo1eNW9n0oN/DkH+b9nrWuk5LWeZegg0mfis2XCptJAnYToQrSmlk/GJgww1tkimSsrh\n+7iQLZcCQAlfMvWXDAIOMzeKRSVgL+UJXjuYu3VO4PyBJnQ7Sp/iy6SiQp6YReuww/ulTQv/m+FK\nxc+O4gDAmcz6WXtTDy2PGuJjuLem8bnWlKrUmu03Kyoa0cFifZ1inmjSz3cJOOy8wR5UIj45q3bJ\n70+2LYxKjPYyqLn+bG5hnZBFIxkcV6k1264VVwjEJtu3XIrycqNSa7ZeeFrOa7GpVKXWrPv175MP\nCqcP6bcyPvJeXs2XR+6V81r+s3QUABTXNiVsOknEY1+JC6KSCBdTShf9dHHH6+MXjgwxaOfzQ3cL\nahpZjuhSVn2L+2Uti/7McaESZvdnAMDZTP7s37IOLg0b4k0HgBK+dOovGQQcdm4Uk0rAXcoTvHYw\nb+ucwPkDWXQyPnEQy6A1kUydlMP3cSEBgFypnvlbVglfOiOC4UjGJWXzp/2SeWZVRAibCgBX8htX\nHMrzcSHN7s90IGLPZ/OXH8rbPi9obhSz016h9AVUas2O29WW4y5jVTLEQkAAACAASURBVJLFFc36\nPROHwUwJc50aTrpZ1PRlcmkGV/jznCAAuJIvWHEoz8eFPLs/04GIO5/d0G51LOhMd6CqBMUAc9Ig\nq0Y485dUHOb/2TvvgKbOroGf7EUgixAIWzbIEERw496KA22rddW21ldtrXa3alvbvm/ft9atnV9b\nt7j3xgUuZO+9IQMCZK/7/RESQwgXEKlW8/uL3HOfJ+feHM4959xnYCYGcyaHON4oavz8THFmTeuW\n2QEAUCpSTNz5iIDDzAxzohKxF3LFr/+Z/eOsgIQBTl1KL+WJF+3NdmeSZ4RyaSTc6Szhwr+ytycE\nzgzjGvRZnZh/PFMwKchx4SCXu2XNG8+VVDYqNk31/dvvjY3nDnTvZ6Azr1vRpEIQiPGwdzdbOJJF\nbSvEoXvd7ntO9CpTH/FcFxN1egQB6P7bAJ0ewWIwmOf45cG5PPG+1IbOrqijlGtH2DzDx+K0j8+U\nujJIH4x2p5NwKFIA2HKzWqXVn3sz3NeRAgBrRrrF7Uj/7mql7bHdI15AO8wR7ntYa35FCALvHy9g\nUvFXVg5k0wgAsDrOfez21G8ulR5tP8CwY9supS1K7arE/Iya1oYW2yyGJ+eFscMtV4tVWv3F1UN8\nnewAYO04n+Hf3/r2fKFFMfFsVv3ee5UW19us0Kw6mJlR1VzfYiU7QpfasIpOjyAIgu/2bs7PrV01\ny1Urfr6WXiasl8h6Kj39sDQxpWjL0rjXhgUYjizYeuH3azmrJkfwWXY/nH6k0mivrJ/r58IEgA+m\nRw359NCmo/csiolnUkv/upHb/Ttp48XwaQgCa0+WMCn4K8tD256ew13H7cr89kqlYWjAlpvVKi1y\n7s0QYyTmaozEHNFjPAA4nC7Mb5Bvn+UbH8oBgCWDnCfuydx6s2bHbF8A+PZyhSuDdO7NUCYVDwD/\nGsYfsS19c1LVzFBOl1rZsMqLYZMA0KLUrj5WnFErbWhFm2pnNSv5z7VKrR45tDg4yo0OAOvi3Fcd\nK0pMFy6I4kW50b+9XNnB6tI2J1Ub0mn0vMOWlfSeF8lEjamBFRP9z5VynR45/EZYlLs9AKwb7bny\nSN6RtIYF0S5R7vZbkipUWv35d6J8HakA8P4oz5FbHnx3ucxQLkSXfnOp1JVBPv/OACaVAAArR7gP\n//HBD9fKDcXEszmiYxmCH2b6z4vkGTRZvDfnj3u1K4a7uzhYvti20U1eGKNF937oXreiSQkAa0e5\nx3pajtGBrrxuNz0nepWp7+jDYqJSo991p+ZElqi6WcWmEkb6MD4Y7c6hEQzS5LLmrTerC4WKVpXO\n1YEUH8pZMZSPw2IAYOG+PJVWPz+Kt/ZksVSt83ekLh7kPD/K6Ze7dYfSBOWNSl8OZcNEz2jjgCn+\n+uTPx3lWSZQHHgl0CBLkRJsWwn57MN+qFTa0qr+5UvGwslUo1fg6UhYPcp4d5tgdhXtPXYt63cmS\nZbEuJzKFPZWauF3avC+14fCiYDoJ16W0WKhwsScaLA8AyATsIA/7I+kCqUpnZ635C4lSo995q/JE\npqBaomTTiCN9mR+O9TLV7O+USrYmVRQK5a1KrSuDPDOMu2K4e5sd/pWl1OjnR7usPVYgVWv9ubTF\nMfwF0S6/JFcffFRfLlb4OlI3TvaJ9mjbDtXl06TPJ/Srlij3P6zTI0ggz25af+7yoW7W7bBF9c2l\nsgeVzcJWtR+XtjiGPzvCqTsK9566ZtXa44VvDnY7ntlgOljRpCgXK1aP9GAbDZ5BISyJ4X91oaRI\nKDc8jztri96zAb4Die9AapJrTmQKntaF/LNQanQ7kkqPp9VVNynYNGKcP+ejif4c4/jNO8XiLVdL\nChukLUqNK5MyawD/X3HeBjtc8NtDlUa/IMZtzZEsqUrr70RfMsTj9Vj3n2+VH3xQXSaS+TrZfTkt\naJBX23B33tpzX0wJqGpS7L9XpUeQQGf7GeHOy0d4W7XD+hblN+cKHpQ3CVpVfk70JUM85kTyu6Nw\nbyhskLowyIZKIgCQCbgYb9bhh9VSldaO1PZIqmtWvn8k663hXsce1Vo05zPIfAa5Sa45nmYp6lL6\n4qFUa7edTz92t6hKLOXQyXEh7p/OiuYYR8bdzqvZfOZRQU1Ti0LtxrabHeu3anKEwa5e/fGcSqN7\nfWTQu78lSZXqAD7rjdH9F8YF7bmUuf9Wfpmgxc+F8fUrQ2L8nA1dcRbt2jg3tlLUuvdmnl6PBLmx\n4wf5rJgQbt2uJLKvjty7X1wvaJb7uzDfGNM/YbBfdxTuJa5sO1e2XaNUdexuUY+kO86ne3LtXx0a\nYDry16oJpr8La5v4LDtDJREAyER8rL/zwdsFUqXGjtzmMGsbpe/9lrR8fFhiipWvfiFRavS77tS2\nD5nc2sd4NYVCRatK6+pAig91XDHUxRjj5au0+vlRTmtPlhhjPJ4xxhOWNyp8OdQNEz2j3dsG0PHX\np3w+zqNKojLGeNRpIZy3B7t0HuNVmsV4vPYxXqcKPzGVTcryRuWq4Xyzpyd+ySDeV5cqioQKX0dK\nJ5GY0Gokdru0eV+q4PCiIEMU9+vdOhcHoqGSCADebPKEANbxLNH68R72ZHyxSDErzJFpHNpAI+Ii\n+HYX8ht1eqRaokLXqpdX/XxiyzvM4TNIfAapSa45kSWyekJnecfd8pYQHi3KOIIVg4FF0bxjmcKH\nla0hPFqxSD4rjNve6ugX8sU6PYLDYtDzDltWotTod96qMkb4hJG+rA/Hepl+8Tulkq1JlYVCWatS\n58ogzQxzWjHczZiSZCs1+vnRzmuPFUjVOmNK4vxLco1ZStLPLCW58fkE72qJcv/DemNK4th5SqL+\n5lLpg8oWYavaj0vtkJJ0qnAv4TuQ+Q5kq6lBSpkk2Nkuyvgfh8HA4hj+sQzBg4rmKHf7IqHcxYFk\nyk3IBGyMl8PhRw0GQ0KR4rGYYqF8doSToZIIBgN2pV/IFRkMePftKk8WZe4AnkmT3+e/7G9fbH7V\n1C269wNUr1smVgKA+Sol5qB43Sg3enc8ZzfrSH1BHxYT15wsPpUtivNhTgpi5zXID6YJikWKY0tC\nAOBMjvitwwUeLPK4ABaVgL1b3vLvq5U6PfLeyLblErLqZGtOFL8+kOdEJ/75oP6jMyUns0V1Lar5\nkbwmhebnlLo3DhY8XBNJxLcNAdiTXCOSaaYEc9wYpJslkq8vVeQL5IahoeaUihXTfslCEIgPdbQn\n426WNK8+VlQgkH861gNd4d6jR+BfiYV8B9InYzw6/szoUhMytW7NieIFUU4xHlaq2h2lwTzaoXRB\nTbOK70ACAK0eyaiRerHJL8kz28B7x/JPZQnifFmTgx1z66UHU+uLhfLjyyIA4HS28K0DOZ4syvgA\nNpWISymTfHe5TKtH1ozyNLTNqpWuOZq/cJCLkz3pj3u1H50qPJUlqG1WzR/o0qTQ/Hyneum+7NQP\nYh/b4Z0qkVQzJcTRjUm+Wdz09YWSggaZYUy+OaUi+dQ9aQgC8WFcBwr+ZnHTqsS8fIHss/He6Ar3\nHj2CrDicx2eQPhnvZV7yM6x8zGrvap0dSABQbCwmdtYWvWcAsCfjDRMECgSyl7aY+O6hrJMZtXH+\njlNCebm1LQceVBcJZCdXxADA6Yy6ZX+lebKp44O5VCIuubTx2/MFWr3+/bFtHiyzpvndw00LYz14\nDqQ/kis/PJZ9MqOuTqKcH+PWJNf8dLNsyR+paZ+NMtnh7htlIql6ahjPjUm9USj68kx+fn3r1nlh\nFiqVCGVTtqUggMyMcHGgEG4UilYeyMivb/18cgC6wr0kxMX+0MPqGomCz6AAgFaPpFdJvDk0UyVR\njyDL96W7MiifTvK3KCY6UAjfxAcDQEG9tGO5EF36QrLy1+sn7heP7u8+NapfTpV4/628orqmM5/M\nAICTD0qW7rjkybWfEOFJJeGTC2o3Hb2n1evXTY8ytM0sF6769friuGAek/b7tZy1f944fr+4tlG6\ncGRQo1S5+1Lmwm0XszYvIOLbnhc7LmSIWhTTo/u5cehJ2dUbDqXkVTfuWDbKQqWSesnEr48jCDIr\n1teBSkrKqX7np6t51Y3rE2LQFe4lDlTSd/OHAUB+TWPHciGKFEEgq1KUMNhPo9Onlwvyqxs9ufbR\nPjwysc0gQ9w5B2/nV4ulrmw7ANDq9GmlAm8nB1MlUY8gb+25ymfTP5sd8/IUE9ecLDmVLYrzYUwK\nYpmFTMHQFuMVerDI4wKYVALOLMZrG32cVSdbc6Lk9YFOxhiv9GS2uK5FNT/SqUmhNcZ4A8xivFqR\nTDMlmO3GIJvFeJZj+krFSmOMx7En42+WSFYfKzaL8TpVuDfUtqgBgEVt9/Tk2RMBoFik8HWkdD8S\nk6l1a06UmKI4PQKlYqWpkmhgsJd9YoawtFE50I3+YE0kzawTqUqXWSfzZlNwWEyXWvXyqp9PbHmH\nCXsy/utJXgBQIJBbLSZ2lndodMjiQbxQFzvzk6slKgAg4TEEHObBmqgOVic1WB10lXfYspL3jhUY\nI3xObr3MGOGHQ1tKkuvJoowP4FCJ2JSyZmNK0rY+b1Zt65qjLQsHuTjZE9unJM5NCu3Pd6qX7stJ\n/SDGLCWpFknVZilJaScpiWLqnjQEQeLDnIwpSb5ZStKpwr3EnozfNNUHrKUGGh2yOJbfwQiVAEAm\nYAEg2Nnu8KP6GomKz2gzpPTqVi82pc3MOpfq9MjDD2JopMfVD6lKl1kj9eZQcVgMgkB2rXRWhJNW\nj2TUtOY3yDxZ5Ch3B8OXvrTY/KqBLr0futetaFKSCVgKAXs2V9wk1/pzqRF8OzwOA115XeiG5+xm\nHamP6KtiokytO5MjnhvB/d/0tmjvy4vlxzOFEoWWQcEfSRc4UPCXl4fRiDgAQBAYsT0tqVhiMj6J\nQrt3QVCcDwMABnvZj9uVUSCQ31wZwaDgAQCLwWy9WV0qVgY4tb12EEg1u+b4TQvhAMCHo92XHylM\nTBcujnYO57f7YdafL8dhMBeXhxkiqnVxsPp40a47NbNCHd2YJBSFe39Dtt6sTq+VXngrjICzUmBH\nl5rYfae2WaldM9Ktm9JVw10fVLbG/5q9YKAThYA7nS2qa1X9Os/yQfICI1PrzmQL5w5w/mFm23y0\nL8+XHMtokCg0DAohMa3egYK/vDLKZIfDf7yfVNRkKiZKFJp9C0Pj/FgAMNiLMXb7w/wG2a33ohkU\nAhjsMKmiRKwINO5SImhV754XNK0/FwA+GossP5R7JK1+UYxLhGu74u8XZ4txGMyllZE8exIArBvt\ntSoxb9etylnhTu5MMorCvb8hW5Iq02taLq6IIrSfi+fjSAWA1MqWZYMfH0wulQBAvXFucmdtuyN9\nyZGpdKcz6+YNdN2cEGo4svF03tFHtRK5hkElHE6tcaAQrq4ZZnhEIQgM/c+NpAKRqZgokWv2vzFw\nVIAjAAzuxx7zw+38+tY7H4xgUA12CFuulpQIZYHObW+0BK2qPfMjpoc7A8DHE/3e2pt2+GHN4sEe\nEe4Mc60+P5mLw8Ll94Y5O5AB4IPxfisPZuxMKp09gO/OoqIo3Mu78e4Yn/vlTdO231042J1CwJ3K\nqKtvVv62KNJ0wo9XStKrmi+/O8RmS+jIlJpTD0peHRqwZWmc4cgXB5MTU4qaZComjXToTgGDRrrx\nZQKNTAAABIHYjw9cz6oyFRObZKpD708e3d8dAIYGuIz84khedePd715h0kgAgMViNp9+VFwvCXJt\nW5hc0Cz/efnY+EE+APDpLGTZrsuH7hQsHR0ywLvdPItP99/BYjHXNyY4M2kA8FF89Ds/X91+Pm3O\nYF8Pjj2Kwn/DHbNKo1Sh1ekRBCZ8dSyzoi0I83C0/+ntMZH9nABgzbQB94vqpnxzfFFcMIWIP3m/\npK5J9ofZ0MUfTj9KKxNc2zDbFBC/8JjFeG17HH15scIsxhM6UPCXl4eaxXjpScUSUzFRotDuXRBo\nFuNlFgjkN1eGG2M82HqzxlqMxwaAD0e7LT9SlJguXBzN6xDjleEwmIvLQ40xntvq48W77tS2j/Gs\nKNybW+HDoQBAanXrMnA2HUwpbwEAw1ynVcP5Dypb4n/NWTDQiULAns4W17Wqf51nueAmPI7i2u6S\nSKbR6hGL8RSGj/UtahwWY7hMANh6syZfIE+tatXqkc3x/bqj1YuHLe/oEZ3lHQQc5uMx7XaXEss0\nO+/UEPHYCYHs9lZXbWZ1bZeAnne85FmJMSXhtY/wBYZfPDGtwYGCv7wy0iwleZBU1GgqJkoU2n0L\n+5ulJKnGlMToNpMqraUkjtCWkuQdSWtYFMOPcG23auoXZ4txGLi0MsqYkniuSszfdavKLCWxrnDf\n3SgCDvPJOC/zI2KZZsetKiIeOyGQAwCrR7o/qGie8XPa69EuFALuVJagvkX9y2ttb4ZQpDgsxnCZ\nALA1qTKvQZZa2aLVI5tn+QNAo1yj1SOAwJTdj7JqpYbTPFjkHQmBA9ysDOJ5GbD5VRNdej90ysUK\nDEDsj48kCq3hSIATddtM3yAeDd3rQjc8ZzfrSH1EX/kCHAaDAbhf0WqaT/HFeM8vxnsapNtn+QGA\nwfIAQK7RydU6slkUzqDgDZYHAH6OVAAY7cc0GYHhiELzeN/rIB7NYHkAgMNiPh3rcTZXfDZXbG58\nMrXuenHTiqF8kylgMLA0xvlohjCpWLIomoeisDlaHXKjRGL1qjEYGOVrZW+d1KrWzUlVmyZ7W30b\njC41IZBqdifX/mvo40krXUpdGaRXBnA3Xiz/7kql4cgYP2Ywz8r+vC8qRjtsNs3V/WJivy8mtuUS\n2+YEgoUdanRkjbkdEgyPbQDw41IBYIw/21TUM6yArjDbfz3I2c5QSQQAHBbzyXjvM9nCszki82Ki\nTK27XtS4Yri76XmGwcAbg12PpjckFTYujuGjKGyORofcKG60etVYDGaUn5W9pVIrWzZfK9801dc0\n+N+Eox1xUrDj6WxB2C363EieTo8cflS//2EdAMhUOvS2XUpt4LCAAbhf1lTUIDVM710/NXD91ECD\ndMer4QBgetklV+vkah2F8NiuGFSCoZIIAP5OdgAwJpBrKur58+jQ3h8Gu9gbKokAgMNiPpsccCaz\n/kxWvXkxUabSXS8Q/iuun6GSCAAYDCwb6pmYWnO9QLhkiAeKwuZodMiNQusvwbAYjEltc1yZlFej\n3TaczvvmXIHhyNggbohL2//Iw4qmHy4XfRMfbJoHbaMzcFgMBoO5W1RfWNtkmIT75bzBX85reyGw\n+60xAEAzjp6TqzRytZas1pqaM2kkQyURAPxcWAAwLszDVNQL4LMAQKF6fH6wG9tQSTR89RdzYk49\nKDn9sNS8mChTaq5mVa6aFGGoJAIABgNvjQ09klx4Patq6egQFIXN0ej0SdlVVq8ag8GMCX2a28EL\nmhUAcOB2/rSB/X5aPobHoN3MrX7v96TFOy7d2TSXTiG6semvDQ/84mDy14n3DE3GhXuEuLeFHA+K\nG/578uG/5w8zzYN+GTA+W1vMQiaPL8a3RcPbZ/lCj2M8RocYT286P4hHM1QSoS3Gc+8kxpN0iPF4\n7WM86wqbgxrjYUb5MiwOOtoRJgWyzuSId7vUJkRwdXrkcLpgf2oDAEhVOmiLxJy6jMQ6RnGNMg0A\nWKxpQyfjAUAo1ZgfvF/RUtaorG9RB/GoeqRbWr142PKO7tPNvAMAbpU2f3CqpFqi3DzD19m+3Ton\nZlZH0xu3KEXPO17yrKSrlCQAukhJ8GYpCQ3aUpI2E/Xn0sBKStIWg+GwmE/Ge53JFp7NEZoXEztJ\nSfh/Q0rSfW6VNK07XlgtUW6eFWCYMuXKIL8S5bzxXMm3l8oM54wNYIc4t/3roUtN3KtoLhMr6ltU\nQc52hj12hVI1ABx6VD8lxHHn3EAnOul2SdPa44XLDuQmrR5odXmxFx6bX7WKVe+HTnmTUo/AB6Pc\nJwax8Vi4lN+0/kLZ0oMFV94JM91AAx29Lrrn7L4/7yP6qphIJmA3TvTaeLF85Pa0AC41yp0+2o85\nyodpGM9JJ+PyG+T3s1pyG+Q5dbKsOqlGh5hPxzD/jzWsI2na7wYAOo5WsXgUebDIdDKuXNxuDf4S\nkQJBYPutmu23aiyai+UadIXNaVXpXt+XZ/WqSXhs6eeW0wBblboViYWj/Zjzo5w6NkGXmrPtZjUA\nLI1x7r70w9MlBx8JNk70mh7CIeOxd8qbPzlTOu2XrLNvhr4kPpFMwG6c7LPxfMmIH+8HONEGejiM\n9mPF+bENlXt7Mj6vQXY8Q5BXL82pk2bWSjU6fTs7JJvbIQbaTwTGdVji1OJZ5cmi2JPx5WKF+cES\noRxBYPuNyu03Ki2at9lh5wqbI1VpX/8zy+pVk/DYso3DLQ62KLXvHM4d7c9eEO1itdV3031bFNqv\nLpR8daEEAJhUwuqR7puvV3DpRPS2XfZsg0zAfTU9aP3pvGHf3wzg0aO9mKMDHEcFcB/bYV3rsbKm\nvLqW7NqWzOoWjU7PNlsl05A9GjDYobkU12E1kWCXdm9QPdlUezK+XNRud+MSoRRBYNu1km3XSiya\ni2VqdIXNkao08399aPWqSXhsxXcTOh5fl5h94H7VV9ODZoQ7kwi4O8Xij4/lTN6WfGH1EARg+b70\nMYHc12OfZrXoRYVMxG96dcjnB5IHf3Iw0JUV7csbG+oxOtTdMKLTnkLMrRbfK6zPqRJnV4oyK4Rq\nrZ5l93i5FjrFzIqwGABg0R9LsR3sqr9Hu+mWnlx7ewqxrKHZ/GBxvQRBYMvZtC1n0yyai1qV6Aqb\n06pQv7L5nNWrJhFwNT+/iXpjegaVhAeAfjzGnrfHGDSZNMBL3Kp47/cb59PKEwb7rfm/G/tv5W96\ndcjMGF8SAXc7r+aDP29N/OrY5fWzEIC3dl8eG+axMC7oKar0/EMmYDdO9Nx4sWLk9nSzkInRPsZr\nzW2Q5dTJuxfjoT1bg3ntXlN1EuMpu4rxOlXYnFaV7vV9+VavmoTHln4+qOPxb6d6Nyt1X12q+OpS\nBQAwqfhVw11/vFHtRCcCwIenSw8+Emyc6GkWiZVN+yX77Jv9ze9DxyjOkHFJ1e1qf1KV1iQysXdB\nIADUNKsW7S+Y+0duyuoILp2IrtWLhy3v6CbdzDuqJapPzpZeLWzydaQkLg4Z1GF5pb0LgqDN6vLn\n/pGTsnoAl05Ezzte8qzELMJ/EOBEG+hhP9qPHefH6pCSyHLqpJm1rZYm2i4UBOg6JWlnor1LSawo\nbI5UpX39z2yrV03CY8s2DkO7L51TLVF+cqr4SoHY15F69I3wQZ5tK0J+cKLwYGr9l5N9poc6kvDY\n5FLJx6eLpu5OO/fOADoJhy41db5vYX8AqJGoFu7NTvgtI+X9QVQiDgC8OZQdCYGGa5wQxBHLNOtO\nFF7MFZnWkXypsPlVq1j1fijnA8DRxSFkPNbB+OyeN4ArVevWny+7mN9o2gy6M6+L4jkBgW7WkfqO\nPhylvCiaNymIfbmgMbms+XJB096HDf5c6tHFIUwqfuftmu+uVnLtCOMCWEsGOYfxaetOlrT24mVp\nx7U58ViMWqc3P2JIEpbGOHcsNhumoKMobH4yk4qv2WhlJEVn7E2tr5KoJgezd9xuM3qZWl/brNpx\nu8aTRa5sUqJIJwe1vYqXq3VH0gVTg9lWFxaxKs0XyPc+bFgW6/KGMTadEMACgKUH8g+lCd7opCj5\n4rE4hj852PFyvvhOadOlfPFf92v9ubRjy8KZVMLOm5XfXi7j0onjAzhLYvlhfPra44WtZiNxekrH\nscU4LEZjaYcYAFga6zra3/JNHZ9BRlfY/GQmlVC7aWT3ddv7oK6qSTklxHHHzbaIQabS1TSrdtys\n9GBRpoQ4cmjEQ0vCUquac+tlXDviIE+Ha4WNAOBEJ6K3rWxSovfcfSVfYBYP8ZgcyruUK7hTLL6U\nI/gzpdKfZ3finRgmlbjjeuk35wu4dNL4YKelQz3DXB3eP5IlVfbCDjsYIg6LtfCHhj1n3xjqOTrQ\n8gdyZVDQFTY/mUkl1v93Uvd1y69v/etu5VvDvZYN8zQcmRjiBACL/y/14INqjU5f1aiYGuq8/Xpb\niVOm1tZIFNuvl3iyaVNCeZ11+9KydHTI1Cjvi+nlt/JqL6ZV/HE9N4DPOvXxdJYdedu5tK8T7zkx\naBMiPJeN7R/u6fju7zdaFU8+wxHTwcPhcVi1TmdxBADeHNt/TKjlmC/DgoMoCpufzLIji/5v+ROr\n2iN4DBoAxPjyzGuag3ydAaCwtimvuvHPpNzl48PeGtc25X/SAC8AeH3rhf238jU6faWoderAfluN\nxVOZSlMtlm49m+bJtZ820MoIjhcGs5CpxSxkCmZS8Ttv15rFeLwwvl3fxHjtxgO0PVtjnDsOHuwQ\n41kqbH4yk4qv2RjbI/U4NMKhhUGp1a159XJHOmGQu/21oiYA4NIJxkjMuUMkVmAeicnV+iPpwqnB\nHPMojmNHwGJALGv3LGiUaQGAZ09UavStKh2TgjflSHwH0qph/LePFN4saZ4d7oiiVY+u7h+ELe/o\nDuhZiSHvOJoh/OhMqR0J97/pPnPCHU2FKnSrC3GhoeQdQ70dbFnJ4hiXycGcy/niO6WSS/niv+7X\n+XNpx5aFMamEnTerjCkJ25iSFPTKRDs8snFYjMbSbWIBYGksv/OUpFOFzU9mUgm1m0Y8sapWOZre\n8OHJIjoJ98NM/zkRTiYjzG+Q7X1Q9+YQ1zcGt20YOCGIAwBL9uUcSq0f2o+BIp0/0LlVpWVQCKZ6\nKJ9BWjXC/e2DuTeLmwwDOaM9HMyrpdGeDgBQJGz3Pv6lwuZXDXT5zEVv3vE13lBvBwAoFLTV9zvz\nuuj1HI1O3506Up/SV8VEiUJb2aT0YlFei3R6LdJJj8Cvd2s3XCjf/6hhySDn769XTQ/hbJ3pazKa\nbo4R7YycOpn5x5pmVZNc681pN9rTk0UGADwWM9LncaApaFXfqBAj+wAAIABJREFUrWgJ4FJRFF4x\nlG/eT0+HxRoc9+477XYDkKl131yuGOPHjHSjo0hNRnAiS9Sq0r0ywHrV2arUMCffg9luISrDTWiS\nt5sg8wIjUWgqG5WebMprA51fG+isR5Bfkms2nCve/7BuSSz/P1fLp/fnbpsTaGaHvTLE7Dqp+cca\nibJJrvFmtxtS4cmmAAABhxnp+/jJ3dCqvlcuCSDhUBReMbzdWK2ezikw1DR33Wo3c1DWqNh0sXRs\nAHtKiGNundSego9yd4hyb3v1d7ukiYjHBrvYpde0orQ1rCSC0nMnd+slQiLXVDbKPTm0+YPc5g9y\n0yPIz7fK15/K23evaulQz39fLJwR7rz9lccb4yK9s8OcmhbzjzUSRZNc3c+x3es+Lw4VAAg4TJz/\n4x+ooUV1t7TRjodHUfhfce3qIz2d5iyRawDAo/0/hUGZJrmaiMMCwM6kUnOpTCX/+mzB2CCurZho\nQZNMVSls8XJyWDAiaMGIID2C7LmU+fmB5L038paN7f/tsQfxg3x2vTnmadlVVmW79aSrxdJGqdKH\n165w4+3kAAB4HHZU/8er9zZI5MkFtYGuLBSFV01ut8fU3znNmUTAubLtGprbpQriVgUAuDBpEpkS\nADwc243K8eI6AECTVEkk4ABgx/l0c6lMqfnyyN1x4R4vcDFRotBWNqm8WGSzkKmufYzHbh/j9c6n\n1bX7dYwxXrsCdOcxXmsAF4eicE9iPCvTnAEgt15mT8ZHudFNWzHeLmsm4rHBPFqxSAEAHkwrqjbJ\nH1cJjVFcu+VH8ViMD4dyt6KdP79X2YLFgC+HklQiWXqgYOds3+n9Hw8ZJuAxAGBIdVC0snp1/3Rs\neUc3Qc9KJgexL+Y3vnu8aEQ/xpaZvhYLKyWVSJYeyN8526+91WEBAI/DoOcdtqxEotBWNirMInz4\nJbl6w7mS/Q/rjSmJY/uUpFdf1yElUTXJNd7s9ibaaUrSHEDCoSi8Yni75fuf+jTni3mi1Yn5I3xZ\nW2cHWBhhmyGx2jtVNgXMzawTaVJR45J9ObvmBk4PfexsiTiM4SaQ8Fg+gyRov6qsWKYB446ULyE2\nv2oC3fuhX1e1RHWlsGmIl4P5TGTTQigAgOJ10T0nCY+FbtSR+pS+KiYWCuXxv2YvH8L/bJwHAGAx\nYBirScBiaptVaq2+H4disrwioSKnXmbxn98jcuplZ3PFhlumR+CbyxUAMD6gnfOiELCj/ZgH0wQJ\n4VzDSp8IAp+dK7uY3/hobRSKwhbf1dNhsauGu64a7mp+JOL7B/041MTFwaYTUKQGTmSJWFSCKSK0\nwKq0vzONhMcezRTNj+KZ3rEcThMAQLS1zaBfSAoF8hk/pb0zzO2zCf0AAIvBxHgacl2jHTpSzexQ\nnlMn9WA/+YoDOXXSM9lCQ/lMjyCbLpYCwPj2/8kUAm6MP/tAat2cATzDMskIAp+dLrqYJ0r7aDCK\nwhbf1dNpzqtHeqwe2W6sUPh3yT4cauIbbZuyrT1R0NCqvrE62jAyIrdOeipLOCfCiUMjdtkWXWqj\noEE6fUfKOyO9v5gSAABYDCbWmwUAeCy2VqJUa/X9HO0e22GDNLu2xZP95Pledm3Lmcx6Q+lNjyBf\nny0AgAnB7V42UAi4MYHc/ferE6JcDTu3IAh8eiLnQnZDxhejURS2+K6eTnPuz3cg4bGJqTULYtxM\nA8EOPagGgGgv1kg/zrtj2q1kHLrxqg/X7thyK1MLbRTUNE755sS/JoZvmBsLAFgMZrC/CwDgcdia\nRqlaq/NxZprsqrC2KatS5On45M4/u1J06kGJoUCmR5Avj9wFgIkRnubnUIj4sWEe+2/lzxvqb9i5\nBUHgo723zqeV5/z4OorCFt/1d05zBoAlo0I2Hb13r6h+kC8PAHR6ZNv5dDwOOzSQz2fZkQi4IymF\nr48MMu2vcuB2PgAM8nOOC3FbMzXSvKug1X/4OjNOfjT96Wr4vFEoVMT/mr18iEuHkAnbSYwnf6ox\nXiWgxXiOZjFe+cX8xkdrI1EUtviuJ5jmvO5UaUOrOulf4W1Pz3rZ6WzxnDBHDo1AIWBJeOzRTOH8\nKCezSEwIANEej2O2E1kiFhXfMcZ7NdJpw4Xy68USw7JTglb1+bzG0X5Mnj0xEkvHYzEHHgmmhXAM\ntxpB4OAjARYDA1zp6Fp1557/47DlHd0EPStBENh0ucKVQf7jtcCOM2cjXQ1W12DN6uzYNAJK3mHL\nSgoFshk/pb8zzO2zCd4AgMWAWUqi7OOUBIwpSbvlSigE7Bh/9oHU+vYpSfHFPFHaR7EoClt819Od\n5owg8PWFMlcG+c8FIR2NsL+LHQmPPZoumD/Q5bEhPaoHgGgPB3RpkDMNj8Xsf1g/rT/XZMAHUuux\nGDAMjFg0iP/d5bIHFc0DPRwAQKdHdt2qwmMxQ7ytvEZ6GbD5VRPo3g/9uigE7IYLZZGu9EMLgw3/\nPnoEfkquJeAwQ70d0L0uuucc0Y/RnTpSn9JXxcRwFzs/R+qe5JraFlUAl1oiUlwrkrBphCnBbCc6\n0ZtN2XWnRihV+3OpeQ3yk9kijh2hTKxIzBDODnuScUx8B9I7iYUzQjh8BulGsSS9RjqjPyemw8Pp\n83Ge037Jiv8te0ow241Bul4kuV/Z8uFodzaNQCfhOlPYopOnO92gO8jVuvuVLaN9mR1H/6JIaUTc\n15O81p0qGbk9bVIQm4jD3KtoSSlvmd6fM6Lfy+ITw/l0Py5t9+3qmmZVoBOtWCS/VtDIphGmhnCd\n6ERvDnXXrUqRVO3HpeU3SE9kChztiGUiRWJaw5MtjcFnkFcczr2Uz3VlkG8UNaVVt8wI5cZ4Wt7t\nzyf2m7r7UfxPaVNCHN2Y5OuFjfcrmj8c68WmEeikThW26KSn05y7ZO1or9f/zIrb+mBiEEeh0Z3O\nEjpQ8O8bN7a20Rsi3Bz8nOx23yirlSgDnenFAunVfCHbjjgtzNnJntTPkbYzqVQoVfk70fPrW46n\n1TnakUqFsiOpNXMi+V333gE+g7J8X9rFHBdXJiWpUJRWKYmPcInxtnwzvH5KwJTtKTN23p0SynNj\nUq4XCO+VNX00wY9tR6ST8Z0pbNFJT6c500i4b+KD3z+SNfz7m5P680h4bEppY0pJ44xwl5F+nK7b\n2zBjgDfX34W580JGTaM0yJVdVNd0NauSTadMj+7HY9D68Rjbz6UJm+UBfFZutfj4vWJHe0ppQ/Ph\n5MKEwX5P8HWubLu3dl+5kFbuxqFfz656VCqYGeMb62+5UurGubETvz4+9ZuT0wZ6u3Ho17Kq7hbW\nfTIrmk2n0CnEzhS26OTvnOYMAAvjgo6kFMb/+9ScWF9nJu1yZmVGuXDd9CjDnirfzR/23u9JQz49\nOCXSm4THJhfWJefXxg/yiQtx67LnF5VwF5qfI2VPcm1ti9oYMjUZYzyCN5u8606tUKrx51LzGmQn\ns8VPI8YrmhHS1FWM5zHtl+z433KmBLPcGOTrRU33K1vNYjzrClt08gTTnN+Pc1u4L2/UjoyJgSyF\nRn8qR+RAwRs2ZTaLxNInBbGIOGzHSEyu1ncW482L4B5MEyw/Urg4mmdHwh1KE+r0sGakGwA42hHe\nGuyy43bNxD2Zcb4MALhWJMmuk7030tWdSULX6oXElnc8FQqF8hKRIoBL/ehMqYVoWghnmLeD0eoy\n4nyZAHCtqCm7TvbeSDd3JhkA0POOlzwrCefT/bjU3berOkT4jk50ojeHsutWlTElkRlTEnkvUhLS\nisN5l/LFrgzyjaLGtOrWGaHcGOOygyY+n+g9dXda/E/pnaQk1hW26OTpTnMuFMpKRPIAJ9qHJ4ss\nRNNDHYf1Y26a6rP2eOGILQ8mBXNIOOzd8uaUMsn0UO4IXyYAoEvfGuq642bVhJ2po/xYCMC1wsbs\nWumaUR4GA14Q7Xw0vWHOb5kzw7jO9qSrhY2ZNa1rRnm8tNtL2vyqCbNnrnXvhwKbRtg4wevz82UT\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nkmf059CIuNM5okX787fN8jXcEJR0xmaTfQqXTpwZ1i5L7Sy2z66VTvspDYfBTAzmTA5x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\nt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"text/plain": [
"<IPython.core.display.Image object>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import Image\n",
"import pydotplus\n",
"dot_data = tree.export_graphviz(classifier, \n",
" out_file=None,\n",
" max_depth=3,\n",
" feature_names=X_train.columns.values,\n",
" class_names=['No', 'Yes'],\n",
" filled=True,\n",
" rounded=True,\n",
" special_characters=True)\n",
"graph = pydotplus.graph_from_dot_data(dot_data)\n",
"Image(graph.create_png())"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## My Implementation"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"def calc_proportion(group, value):\n",
" proportion = np.sum(group[:, -1] == value) / group.shape[0]\n",
" assert proportion <= 1 and proportion >= 0\n",
" return proportion\n",
"\n",
"def gini_index(groups, class_values):\n",
" proportion = 0\n",
" for class_value in class_values:\n",
" for group in groups:\n",
" if group.shape[0] == 0:\n",
" continue\n",
" p_i = calc_proportion(group, class_value)\n",
" proportion += p_i * (1 - p_i) # typo in the lecture slides?\n",
" gini = 1 - proportion\n",
" assert gini >= 0\n",
" return gini\n",
"\n",
"# partitions the input into left and right regions\n",
"def test_partition(col, cutoff, dataset):\n",
" left = dataset[dataset[:, col] < cutoff]\n",
" right = dataset[dataset[:, col] >= cutoff]\n",
" return left, right"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": true,
"slideshow": {
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"outputs": [],
"source": [
"def get_partition(dataset):\n",
" class_values = np.unique(dataset[:, -1])\n",
" index, cutoff, score, groups_ = None, None, 1, None\n",
" for col in range(dataset.shape[1] - 1):\n",
" for row in dataset:\n",
" groups = test_partition(col, row[col], dataset)\n",
" gini = gini_index(groups,\n",
" class_values)\n",
" # If I have a better gini_index, update the parameters\n",
" if gini < score:\n",
" index, cutoff, score, groups_ = col, row[col], gini, groups\n",
" return {'index':index, \n",
" 'cutoff':cutoff, \n",
" 'groups':groups_}\n",
"\n",
"def to_terminal(group):\n",
" unique, counts = np.unique(group[:, -1], return_counts=True)\n",
" return unique[np.argmax(counts)]"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"def partition(node, max_depth, min_size, depth):\n",
" try:\n",
" left, right = node['groups']\n",
" except TypeError:\n",
" return\n",
" del(node['groups'])\n",
" \n",
" # check for a no-partitions\n",
" if len(left) == 0 or len(right) == 0:\n",
" new = np.vstack((left, right))\n",
" node['left'] = node['right'] = to_terminal(new)\n",
" return\n",
"\n",
" # check for max depth\n",
" if depth >= max_depth:\n",
" node['left'] = to_terminal(left)\n",
" node['right'] = to_terminal(right)\n",
" return\n",
" \n",
" # process left child\n",
" if len(left) <= min_size:\n",
" node['left'] = to_terminal(left)\n",
" else:\n",
" node['left'] = get_partition(left)\n",
" partition(node['left'], max_depth, min_size, depth+1)\n",
" \n",
" # process right child\n",
" if len(right) <= min_size:\n",
" node['right'] = to_terminal(right)\n",
" else:\n",
" node['right'] = get_partition(right)\n",
" partition(node['right'], max_depth, min_size, depth+1)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": true,
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"def build_tree(train, max_depth, min_size):\n",
" root = get_partition(train)\n",
" partition(root, max_depth, min_size, 1)\n",
" return root\n",
"\n",
"def predict(node, row):\n",
" if row[node['index']] < node['cutoff']:\n",
" if isinstance(node['left'], dict):\n",
" return predict(node['left'], row)\n",
" else:\n",
" return node['left']\n",
" else:\n",
" if isinstance(node['right'], dict):\n",
" return predict(node['right'], row)\n",
" else:\n",
" return node['right']\n",
"\n",
"def decision_tree(train, test, max_depth, min_size):\n",
" tree = build_tree(train, max_depth, min_size)\n",
" return [predict(tree, row) for row in test]"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"# Taking a smaller sample because my method is slow...\n",
"training_size = 5000\n",
"test_size = 2000\n",
"\n",
"test_data = np.hstack((X_test.values, \n",
" Y_test.values))\n",
"training_data = np.hstack((X_train.values, \n",
" Y_train.values))\n",
"\n",
"test_data_small = test_data[np.random.choice(test_data.shape[0], \n",
" size=test_size, \n",
" replace=False), :]\n",
"\n",
"training_data_small = training_data[np.random.choice(training_data.shape[0], \n",
" size=training_size, \n",
" replace=False), :]"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/plain": [
"0.0"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"predictions = decision_tree(training_data_small, test_data_small, 3, 5)\n",
"sum(predictions)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Summary\n",
"\n",
"* My method doesn't predict a signle positive instance (due to short-max depth)\n",
"* My method is way way slow (to get a decent runtime had to chop off ~90% of the data)\n",
"* Decision Trees may not be the best classification method for this dataset given the sparcity of the back-order samples\n",
"* Don't think I could have implemented without web-based help"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"### Resources\n",
"\n",
"Scikit Learn Docs:\n",
"http://scikit-learn.org/stable/modules/tree.html\n",
"\n",
"How to Implement Decision Trees In Pure Python:\n",
"http://machinelearningmastery.com/implement-decision-tree-algorithm-scratch-python/\n",
"\n"
]
}
],
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