Decision Tree Accuracy example code.ipynb

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    "import sys\n",
    "from class_vis import prettyPicture\n",
    "from prep_terrain_data import makeTerrainData\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pylab as pl\n",
    "\n",
    "features_train, labels_train, features_test, labels_test = makeTerrainData()\n",
    "\n",
    "########################## DECISION TREE #################################\n",
    "from sklearn import tree\n",
    "from sklearn.metrics import precision_score as precision\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "#### your code goes here\n",
    "\n",
    "### you fill this in!\n",
    "### be sure to compute the accuracy on the test set\n",
    "\n",
    "### your code goes here--now create 2 decision tree classifiers,\n",
    "### one with min_samples_split=2 and one with min_samples_split=50\n",
    "\n",
    "###one with min_samples_split=2\n",
    "clf = tree.DecisionTreeClassifier(min_samples_split=2)\n",
    "clf = clf.fit(features_train, labels_train)\n",
    "pred = clf.predict(features_test)\n",
    "\n",
    "### min_samples_split=50\n",
    "clf_50 = tree.DecisionTreeClassifier(min_samples_split=50)\n",
    "clf_50 = clf_50.fit(features_train, labels_train)\n",
    "pred_50 = clf_50.predict(features_test)\n",
    "\n",
    "\n",
    "### compute the accuracies on the testing data and store\n",
    "### the accuracy numbers to acc_min_samples_split_2 and\n",
    "### acc_min_samples_split_50, respectively\n",
    "\n",
    "### acc_min_samples_split_2 = precision(labels_test, pred)\n",
    "### acc_min_samples_split_50 = precision(labels_test, pred_50)\n",
    "\n",
    "acc_min_samples_split_2 = accuracy_score(labels_test, pred)\n",
    "acc_min_samples_split_50 = accuracy_score(labels_test, pred_50)\n",
    "\n",
    "def submitAccuracies():\n",
    "  return {\"acc_min_samples_split_2\":round(acc_min_samples_split_2,3),\n",
    "          \"acc_min_samples_split_50\":round(acc_min_samples_split_50,3)}"
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