naive_bayes_ds2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from pandas import DataFrame, read_csv, unique\n",
    "from matplotlib.pyplot import figure, savefig, show\n",
    "from libs.ds_charts import plot_evaluation_results, bar_chart\n",
    "from sklearn.naive_bayes import GaussianNB, MultinomialNB, BernoulliNB\n",
    "from sklearn.metrics import f1_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "### FILES (treino deveria ser smote)\n",
    "file_tag_zscore = 'air_quality_scaled_zscore'\n",
    "filename_zscore = 'data/air_quality_scaled_zscore'\n",
    "\n",
    "file_tag_minmax = 'air_quality_scaled_minmax'\n",
    "filename_minmax = 'data/air_quality_scaled_minmax'\n",
    "\n",
    "target = 'ALARM'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5671522650169627\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#PREPARE TRAIN AND TEST SZCORE\n",
    "train_zscore: DataFrame = read_csv(f'{filename_zscore}_train_smote.csv')\n",
    "test_zscore: DataFrame = read_csv(f'{filename_zscore}_test.csv')\n",
    "\n",
    "#train_zscore.drop(['City_EN','Prov_EN','date'], axis=1, inplace=True)\n",
    "#test_zscore.drop(['City_EN','Prov_EN','date'],axis=1, inplace=True)\n",
    "\n",
    "trnY_zscore: np.ndarray = train_zscore.pop(target).values\n",
    "trnX_zscore: np.ndarray = train_zscore.values\n",
    "labels = unique(trnY_zscore)\n",
    "labels.sort()\n",
    "\n",
    "tstY_zscore: np.ndarray = test_zscore.pop(target).values\n",
    "tstX_zscore: np.ndarray = test_zscore.values\n",
    "\n",
    "clf = BernoulliNB()\n",
    "clf.fit(trnX_zscore, trnY_zscore)\n",
    "prd_trn = clf.predict(trnX_zscore)\n",
    "prd_tst = clf.predict(tstX_zscore)\n",
    "print(f1_score(tstY_zscore, prd_tst, pos_label='Danger'))\n",
    "plot_evaluation_results(labels, trnY_zscore, prd_trn, tstY_zscore, prd_tst)\n",
    "savefig('lab4_images/dataset_2/air_quality_nb_best_zscore.png')\n",
    "show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.4104092384652227\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#PREPARE TRAIN AND TEST MINMAX\n",
    "train_minmax: DataFrame = read_csv(f'{filename_minmax}_train_smote.csv')\n",
    "test_minmax: DataFrame = read_csv(f'{filename_minmax}_test.csv')\n",
    "trnY_minmax: np.ndarray = train_minmax.pop(target).values\n",
    "trnX_minmax: np.ndarray = train_minmax.values\n",
    "labels = unique(trnY_minmax)\n",
    "labels.sort()\n",
    "\n",
    "tstY_minmax: np.ndarray = test_minmax.pop(target).values\n",
    "tstX_minmax: np.ndarray = test_minmax.values\n",
    "\n",
    "clf = BernoulliNB()\n",
    "clf.fit(trnX_minmax, trnY_minmax)\n",
    "prd_trn = clf.predict(trnX_minmax)\n",
    "prd_tst = clf.predict(tstX_minmax)\n",
    "print(f1_score(tstY_minmax, prd_tst, pos_label='Danger'))\n",
    "plot_evaluation_results(labels, trnY_minmax, prd_trn, tstY_minmax, prd_tst)\n",
    "savefig(f'lab4_images/dataset_2/{file_tag_minmax}_nb_best_minmax_smote.png')\n",
    "show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#MINMAX STUDY\n",
    "estimators = {'GaussianNB': GaussianNB(),\n",
    "              'MultinomialNB': MultinomialNB(),\n",
    "              'BernoulliNB': BernoulliNB()\n",
    "              #'CategoricalNB': CategoricalNB\n",
    "              }\n",
    "\n",
    "xvalues = []\n",
    "yvalues = []\n",
    "for clf in estimators:\n",
    "    xvalues.append(clf)\n",
    "    estimators[clf].fit(trnX_minmax, trnY_minmax)\n",
    "    prdY = estimators[clf].predict(tstX_minmax)\n",
    "    yvalues.append(f1_score(tstY_minmax, prdY,pos_label=\"Danger\"))\n",
    "\n",
    "figure()\n",
    "bar_chart(xvalues, yvalues, title='Comparison of Naive Bayes Models (MINMAX)', ylabel='f1_score', percentage=True)\n",
    "savefig(f'lab4_images/dataset_2/{file_tag_minmax}_nb_study_minmax_f1_smote.png')\n",
    "show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x450 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#ZSCORE STUDY\n",
    "estimators = {'GaussianNB': GaussianNB(),\n",
    "              'BernoulliNB': BernoulliNB()\n",
    "              #'CategoricalNB': CategoricalNB\n",
    "              }\n",
    "\n",
    "xvalues = []\n",
    "yvalues = []\n",
    "for clf in estimators:\n",
    "    xvalues.append(clf)\n",
    "    estimators[clf].fit(trnX_zscore, trnY_zscore)\n",
    "    prdY = estimators[clf].predict(tstX_zscore)\n",
    "    yvalues.append(f1_score(tstY_zscore, prdY, pos_label=\"Danger\"))\n",
    "\n",
    "figure()\n",
    "bar_chart(xvalues, yvalues, title='Comparison of Naive Bayes Models (ZSCORE)', ylabel='f1', percentage=True)\n",
    "savefig(f'lab4_images/dataset_2/{file_tag_zscore}_nb_study_f1_minmax.png')\n",
    "show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### KNN ZSCORE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8542150038669761\n"
     ]
    }
   ],
   "source": [
    "from numpy import ndarray\n",
    "from pandas import DataFrame, read_csv, unique\n",
    "from matplotlib.pyplot import figure, savefig, show\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from libs.ds_charts import plot_evaluation_results, multiple_line_chart\n",
    "from sklearn.metrics import accuracy_score, recall_score, f1_score, precision_score\n",
    "\n",
    "clf = knn = KNeighborsClassifier(n_neighbors=7, metric='manhattan')\n",
    "clf.fit(trnX_zscore, trnY_zscore)\n",
    "prd_trn = clf.predict(trnX_zscore)\n",
    "prd_tst = clf.predict(tstX_zscore)\n",
    "\n",
    "print(f1_score(tstY_zscore, prd_tst, pos_label='Danger'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### KNN MINMAX"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import ndarray\n",
    "from pandas import DataFrame, read_csv, unique\n",
    "from matplotlib.pyplot import figure, savefig, show\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from libs.ds_charts import plot_evaluation_results, multiple_line_chart\n",
    "from sklearn.metrics import accuracy_score, recall_score, f1_score, precision_score\n",
    "\n",
    "clf = knn = KNeighborsClassifier(n_neighbors=7, metric='manhattan')\n",
    "clf.fit(trnX_minmax, trnY_minmax)\n",
    "prd_trn = clf.predict(trnX_minmax)\n",
    "prd_tst = clf.predict(tstX_minmax)\n",
    "\n",
    "print(f1_score(tstY_minmax, prd_tst, pos_label='Danger'))"
   ]
  }
 ],
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