supervised ML with sklearn.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "307db2c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn import preprocessing\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import accuracy_score,classification_report\n",
    "\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn import tree\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "7e7b5a8d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: >"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.read_csv('adult.data')\n",
    "le = preprocessing.LabelEncoder()\n",
    "label = df[' <=50K']\n",
    "for i in df.columns:\n",
    "    df[i] = le.fit_transform(df[i])\n",
    "df = df.fillna(0)  \n",
    "df.corrwith(df[' <=50K']).sort_values(ascending=True).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "759b8ef8",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df[df.columns[:-2]]\n",
    "y = label\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.20)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "70f779f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_model(model):\n",
    "    model.fit(X_train,y_train)\n",
    "    y_pred = model.predict(X_test)\n",
    "    conf = confusion_matrix(y_test,y_pred)\n",
    "    print('confusion matrix: \\n',conf)\n",
    "    acc = accuracy_score(y_test,y_pred)\n",
    "    print('Accuracy: ',acc)\n",
    "    res = classification_report(y_test,y_pred)\n",
    "    print('results:  \\n',res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "c7bc1a07",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "confusion matrix:  [[4598  305]\n",
      " [ 889  720]]\n",
      "Accuracy:  0.8166461916461917\n",
      "results:                 precision    recall  f1-score   support\n",
      "\n",
      "       <=50K       0.84      0.94      0.89      4903\n",
      "        >50K       0.70      0.45      0.55      1609\n",
      "\n",
      "    accuracy                           0.82      6512\n",
      "   macro avg       0.77      0.69      0.72      6512\n",
      "weighted avg       0.80      0.82      0.80      6512\n",
      "\n"
     ]
    }
   ],
   "source": [
    "model = DecisionTreeClassifier()\n",
    "train_model(model1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "56621145",
   "metadata": {},
   "outputs": [],
   "source": [
    "# precision of model without droping columns having low corelation is 0.8111179361179361"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "1f02e684",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop([' 77516', ' United-States', ' State-gov'], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "4763ce35",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "confusion matrix:  [[4484  472]\n",
      " [ 620  936]]\n",
      "Accuracy:  0.8323095823095823\n",
      "results:                 precision    recall  f1-score   support\n",
      "\n",
      "       <=50K       0.88      0.90      0.89      4956\n",
      "        >50K       0.66      0.60      0.63      1556\n",
      "\n",
      "    accuracy                           0.83      6512\n",
      "   macro avg       0.77      0.75      0.76      6512\n",
      "weighted avg       0.83      0.83      0.83      6512\n",
      "\n"
     ]
    }
   ],
   "source": [
    "X = df[df.columns[:-2]]\n",
    "y = label\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.20)\n",
    "model = DecisionTreeClassifier()\n",
    "train_model(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "b850729e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# precision of model after droping columns having low corelation is increased to 0.8290847665847666"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "12f05a82",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "confusion matrix:  [[4492  464]\n",
      " [ 618  938]]\n",
      "Accuracy:  0.8338452088452089\n",
      "results:                 precision    recall  f1-score   support\n",
      "\n",
      "       <=50K       0.88      0.91      0.89      4956\n",
      "        >50K       0.67      0.60      0.63      1556\n",
      "\n",
      "    accuracy                           0.83      6512\n",
      "   macro avg       0.77      0.75      0.76      6512\n",
      "weighted avg       0.83      0.83      0.83      6512\n",
      "\n"
     ]
    }
   ],
   "source": [
    "model1 = GaussianNB()\n",
    "train_model(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "8d0c7f2f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "confusion matrix: \n",
      " [[4487  469]\n",
      " [ 613  943]]\n",
      "Accuracy:  0.8338452088452089\n",
      "results:  \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "       <=50K       0.88      0.91      0.89      4956\n",
      "        >50K       0.67      0.61      0.64      1556\n",
      "\n",
      "    accuracy                           0.83      6512\n",
      "   macro avg       0.77      0.76      0.76      6512\n",
      "weighted avg       0.83      0.83      0.83      6512\n",
      "\n"
     ]
    }
   ],
   "source": [
    "model2 = RandomForestClassifier(n_estimators=3)\n",
    "train_model(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "52d912ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "models = [model, model1, model2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "300e5a91",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "confusion matrix: \n",
      " [[4486  470]\n",
      " [ 613  943]]\n",
      "Accuracy:  0.8336916461916462\n",
      "results:  \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "       <=50K       0.88      0.91      0.89      4956\n",
      "        >50K       0.67      0.61      0.64      1556\n",
      "\n",
      "    accuracy                           0.83      6512\n",
      "   macro avg       0.77      0.76      0.76      6512\n",
      "weighted avg       0.83      0.83      0.83      6512\n",
      "\n",
      "--------------------------------------------------\n",
      "confusion matrix: \n",
      " [[4634  322]\n",
      " [ 843  713]]\n",
      "Accuracy:  0.8210995085995086\n",
      "results:  \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "       <=50K       0.85      0.94      0.89      4956\n",
      "        >50K       0.69      0.46      0.55      1556\n",
      "\n",
      "    accuracy                           0.82      6512\n",
      "   macro avg       0.77      0.70      0.72      6512\n",
      "weighted avg       0.81      0.82      0.81      6512\n",
      "\n",
      "--------------------------------------------------\n",
      "confusion matrix: \n",
      " [[4481  475]\n",
      " [ 579  977]]\n",
      "Accuracy:  0.8381449631449631\n",
      "results:  \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "       <=50K       0.89      0.90      0.89      4956\n",
      "        >50K       0.67      0.63      0.65      1556\n",
      "\n",
      "    accuracy                           0.84      6512\n",
      "   macro avg       0.78      0.77      0.77      6512\n",
      "weighted avg       0.83      0.84      0.84      6512\n",
      "\n",
      "--------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "for i in models:\n",
    "    train_model(i)\n",
    "    print(50*'-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "e07d463f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "f61049cc",
   "metadata": {},
   "outputs": [
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       " Text(0.12349656357388317, 0.296875, 'gini = 0.219\\nsamples = 8\\nvalue = [7, 1]'),\n",
       " ...]"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "clf = tree.DecisionTreeClassifier(random_state=0)\n",
    "\n",
    "clf = clf.fit(X_train,y_train)\n",
    "tree.plot_tree(clf)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2fb4042a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
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