8- Decission Tree.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 400 entries, 0 to 399\n",
      "Data columns (total 5 columns):\n",
      " #   Column           Non-Null Count  Dtype \n",
      "---  ------           --------------  ----- \n",
      " 0   User ID          400 non-null    int64 \n",
      " 1   Gender           400 non-null    object\n",
      " 2   Age              400 non-null    int64 \n",
      " 3   EstimatedSalary  400 non-null    int64 \n",
      " 4   Purchased        400 non-null    int64 \n",
      "dtypes: int64(4), object(1)\n",
      "memory usage: 15.8+ KB\n"
     ]
    }
   ],
   "source": [
    "dataset=pd.read_csv('C:/Users/H_jam/OneDrive/Uni-MA/Term2/DataMining/DataSets/Classification/Decision Tree Classification/Social_Network_Ads.csv')\n",
    "dataset.info()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define x , y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = dataset.iloc[:, [2,3]].values\n",
    "y = dataset.iloc[:, 4].values"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Spit to train , test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 0)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fititng Decission Tree  to Trainnig Set"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "with Max Depth 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "DecisionTreeClassifier(criterion='entropy', max_depth=3, random_state=0)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "classifier = DecisionTreeClassifier(criterion=\"entropy\",max_depth=3,random_state=0)\n",
    "classifier.fit(X_train,y_train)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "without define Max Depth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(criterion=&#x27;entropy&#x27;, random_state=0)</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\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(criterion=&#x27;entropy&#x27;, random_state=0)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "DecisionTreeClassifier(criterion='entropy', random_state=0)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "classifier = DecisionTreeClassifier(criterion=\"entropy\",random_state=0)\n",
    "classifier.fit(X_train,y_train)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predicting the Test set result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred=classifier.predict(X_test)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Making the Confusion Matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[62,  6],\n",
       "       [ 3, 29]], dtype=int64)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[62,  6],\n",
       "       [ 3, 29]], dtype=int64)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "cm2 = confusion_matrix(y_test, y_pred)\n",
    "cm2"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot Tree With 2 Method"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Method 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.4642857142857143, 0.9, 'Age <= 44.5\\nentropy = 0.951\\nsamples = 300\\nvalue = [189, 111]\\nclass = N'),\n",
       " Text(0.23809523809523808, 0.7, 'EstimatedSalary <= 90500.0\\nentropy = 0.693\\nsamples = 215\\nvalue = [175, 40]\\nclass = N'),\n",
       " Text(0.09523809523809523, 0.5, 'Age <= 36.5\\nentropy = 0.241\\nsamples = 176\\nvalue = [169, 7]\\nclass = N'),\n",
       " Text(0.047619047619047616, 0.3, 'entropy = 0.0\\nsamples = 114\\nvalue = [114, 0]\\nclass = N'),\n",
       " Text(0.14285714285714285, 0.3, 'EstimatedSalary <= 67500.0\\nentropy = 0.509\\nsamples = 62\\nvalue = [55, 7]\\nclass = N'),\n",
       " Text(0.09523809523809523, 0.1, '\\n  (...)  \\n'),\n",
       " Text(0.19047619047619047, 0.1, '\\n  (...)  \\n'),\n",
       " Text(0.38095238095238093, 0.5, 'EstimatedSalary <= 133500.0\\nentropy = 0.619\\nsamples = 39\\nvalue = [6, 33]\\nclass = Y'),\n",
       " Text(0.3333333333333333, 0.3, 'EstimatedSalary <= 107500.0\\nentropy = 0.779\\nsamples = 26\\nvalue = [6, 20]\\nclass = Y'),\n",
       " Text(0.2857142857142857, 0.1, '\\n  (...)  \\n'),\n",
       " Text(0.38095238095238093, 0.1, '\\n  (...)  \\n'),\n",
       " Text(0.42857142857142855, 0.3, 'entropy = 0.0\\nsamples = 13\\nvalue = [0, 13]\\nclass = Y'),\n",
       " Text(0.6904761904761905, 0.7, 'EstimatedSalary <= 41500.0\\nentropy = 0.645\\nsamples = 85\\nvalue = [14, 71]\\nclass = Y'),\n",
       " Text(0.5714285714285714, 0.5, 'EstimatedSalary <= 22500.0\\nentropy = 0.211\\nsamples = 30\\nvalue = [1, 29]\\nclass = Y'),\n",
       " Text(0.5238095238095238, 0.3, 'Age <= 46.5\\nentropy = 0.722\\nsamples = 5\\nvalue = [1, 4]\\nclass = Y'),\n",
       " Text(0.47619047619047616, 0.1, '\\n  (...)  \\n'),\n",
       " Text(0.5714285714285714, 0.1, '\\n  (...)  \\n'),\n",
       " Text(0.6190476190476191, 0.3, 'entropy = 0.0\\nsamples = 25\\nvalue = [0, 25]\\nclass = Y'),\n",
       " Text(0.8095238095238095, 0.5, 'Age <= 52.5\\nentropy = 0.789\\nsamples = 55\\nvalue = [13, 42]\\nclass = Y'),\n",
       " Text(0.7142857142857143, 0.3, 'EstimatedSalary <= 85000.0\\nentropy = 0.946\\nsamples = 33\\nvalue = [12, 21]\\nclass = Y'),\n",
       " Text(0.6666666666666666, 0.1, '\\n  (...)  \\n'),\n",
       " Text(0.7619047619047619, 0.1, '\\n  (...)  \\n'),\n",
       " Text(0.9047619047619048, 0.3, 'EstimatedSalary <= 44000.0\\nentropy = 0.267\\nsamples = 22\\nvalue = [1, 21]\\nclass = Y'),\n",
       " Text(0.8571428571428571, 0.1, '\\n  (...)  \\n'),\n",
       " Text(0.9523809523809523, 0.1, '\\n  (...)  \\n')]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn import tree\n",
    "names=dataset.columns\n",
    "featurenames=names[2:4]\n",
    "plt.figure(figsize=(15,15))\n",
    "tree.plot_tree(classifier,max_depth=3,feature_names=featurenames,class_names=['N','Y'],filled=True)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Method 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting graphviz\n",
      "  Downloading graphviz-0.20.1-py3-none-any.whl (47 kB)\n",
      "     -------------------------------------- 47.0/47.0 kB 213.9 kB/s eta 0:00:00\n",
      "Installing collected packages: graphviz\n",
      "Successfully installed graphviz-0.20.1\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "# %pip install graphviz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'DT1.pdf'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "ename": "",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31mThe Kernel crashed while executing code in the the current cell or a previous cell. Please review the code in the cell(s) to identify a possible cause of the failure. Click <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. View Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
     ]
    }
   ],
   "source": [
    "from sklearn import tree\n",
    "import graphviz\n",
    "names=dataset.columns\n",
    "featurenames=names[2:4]\n",
    "dt_data=tree.export_graphviz(classifier,max_depth=3,feature_names=featurenames,class_names=['N','Y'],filled=True)\n",
    "graph=graphviz.Source(dt_data)\n",
    "graph.render(\"DT1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ML",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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