FakeNewsDetection_ML.ipynb

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      "source": [
        "# Fake News Detection\n",
        "\n",
        "- Preprocess\n",
        "- Build Model With tradational Machine Learning models"
      ],
      "metadata": {
        "id": "IiRlyURVfGjN"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Import Libraries"
      ],
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    {
      "cell_type": "code",
      "source": [
        "import sys\n",
        "import math\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "\n",
        "import nltk\n",
        "from wordcloud import WordCloud,STOPWORDS\n",
        "from nltk.stem import WordNetLemmatizer\n",
        "from nltk.tokenize import word_tokenize\n",
        "from nltk import word_tokenize\n",
        "from nltk.corpus import names ,wordnet, stopwords\n",
        "from unicodedata import category\n",
        "\n",
        "#Data Visualisation\n",
        "\n",
        "import matplotlib.pyplot as plt \n",
        "import seaborn as sns\n",
        "import plotly.express as px\n",
        "import plotly.graph_objects as go \n",
        "\n",
        "#Sklearn\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer\n",
        "from sklearn.model_selection import train_test_split, GridSearchCV, RandomizedSearchCV\n",
        "from sklearn.feature_selection import SelectKBest,chi2,f_classif\n",
        "from sklearn.naive_bayes import MultinomialNB\n",
        "from sklearn.ensemble import VotingClassifier, RandomForestClassifier, AdaBoostClassifier, GradientBoostingClassifier, BaggingClassifier\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.svm import LinearSVC\n",
        "from sklearn import tree\n",
        "from sklearn.metrics import classification_report , confusion_matrix, accuracy_score, f1_score, roc_curve\n",
        "import xgboost as xgb\n",
        "from xgboost import XGBClassifier\n",
        "from sklearn.preprocessing import LabelBinarizer, LabelEncoder\n",
        "from sklearn.model_selection import cross_val_score\n",
        "\n",
        "#Tensorflow and Keras\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "from keras.preprocessing.text import one_hot, Tokenizer\n",
        "#from keras.preprocessing.sequence import pad_sequences\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Dense, Flatten, Embedding, Input, LSTM, Conv1D, MaxPool1D, Bidirectional,Activation, Dropout,GlobalMaxPool1D, Conv1D\n",
        "from keras.models import Model\n",
        "from keras.utils import pad_sequences, plot_model\n",
        "from keras import utils\n",
        "from keras.optimizers import Adam"
      ],
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      "source": [
        "# Google Drive is used for to store unprocessed/processed dataset \n",
        "BASE_URL = \"/content/drive/MyDrive/Colab Notebooks/fakenews/\"\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
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          "text": [
            "Mounted at /content/drive\n"
          ]
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      "source": [
        "## Dataset"
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      "source": [
        "#Preprocessed data location\n",
        "training_path = BASE_URL + 'data/processed/fakenews_training_processed.csv'\n",
        "test_path = BASE_URL + 'data/processed/fakenews_test_processed.csv'\n",
        "\n",
        "# Read Training Dataset\n",
        "df = pd.read_csv(training_path)\n",
        "df.head()"
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            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(f\"Training Data Shape: {df.shape} \\nTest Data Shape: {df_test.shape}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oz4S6W6NgurT",
        "outputId": "0caefa0b-36a7-4407-bfa1-81456a8dd4c2"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training Data Shape: (1264, 4) \n",
            "Test Data Shape: (612, 4)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Feature Extraction"
      ],
      "metadata": {
        "id": "pCYEY5QTpCAx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Split dataset\n",
        "X_train, X_test, y_train, y_test = df.title_text, df_test.title_text, df.label, df_test.label"
      ],
      "metadata": {
        "id": "P3V7f9XVJsXJ"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X_train.shape, X_test.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XGdBN4R2CpTj",
        "outputId": "249c5c41-ef3d-4594-c3d7-ef6de0a1397e"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((1264,), (612,))"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "vectorizer = TfidfVectorizer()\n",
        "vector =  vectorizer.fit_transform(X_train)\n",
        "x_train=vector.toarray()\n",
        "\n",
        "vector2 = vectorizer.transform(X_test)\n",
        "x_test=vector2.toarray()"
      ],
      "metadata": {
        "id": "nqFOS7pRI8ku"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_train.shape, x_test.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CoDDsWdTCo7l",
        "outputId": "267e3b21-ac47-4d55-8266-f3120d9322ad"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((1264, 24229), (612, 24229))"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Utility Functions\n",
        "\n",
        "Some utiltiy functions such as \n",
        "- learning curve finder\n",
        "- plot the learning curve\n",
        "- print confusion matrix,"
      ],
      "metadata": {
        "id": "b1L6X8ULrbXJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import os\n",
        "import itertools\n",
        "from PIL import Image\n",
        "import sklearn as sklearn\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from keras.callbacks import Callback, EarlyStopping, ReduceLROnPlateau, ModelCheckpoint\n",
        "from sklearn import model_selection\n",
        "from sklearn.model_selection import train_test_split, learning_curve\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.naive_bayes import GaussianNB\n",
        "from sklearn.svm import SVC, LinearSVC\n",
        "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier\n",
        "from sklearn.neural_network import MLPClassifier as MLPC\n",
        "from sklearn import model_selection\n",
        "import tensorflow as tf\n",
        "import keras\n",
        "from keras import backend as K\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Dense, Dropout, Activation, Flatten, Conv2D, MaxPooling2D\n",
        "from keras import initializers, layers, models\n",
        "from keras.utils import to_categorical\n",
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "from keras import callbacks\n",
        "from keras.utils.vis_utils import plot_model\n",
        "\n",
        "\n",
        "def plot_graphs(history, string):\n",
        "    plt.plot(history.history[string])\n",
        "    plt.plot(history.history['val_'+string])\n",
        "    plt.xlabel(\"Epochs\")\n",
        "    plt.ylabel(string)\n",
        "    plt.legend([string, 'val_'+string])\n",
        "    plt.show()\n",
        "\n",
        "\n",
        "# Extracted from https://www.kaggle.com/danbrice/keras-plot-history-full-report-and-grid-search\n",
        "import matplotlib.pyplot as plt\n",
        "def plot_history(history):\n",
        "    loss_list = [s for s in history.history.keys() if 'loss' in s and 'val' not in s]\n",
        "    val_loss_list = [s for s in history.history.keys() if 'loss' in s and 'val' in s]\n",
        "    acc_list = [s for s in history.history.keys() if 'acc' in s and 'val' not in s]\n",
        "    val_acc_list = [s for s in history.history.keys() if 'acc' in s and 'val' in s]\n",
        "    \n",
        "    if len(loss_list) == 0:\n",
        "        print('Loss is missing in history')\n",
        "        return \n",
        "    \n",
        "    ## As loss always exists\n",
        "    epochs = range(1,len(history.history[loss_list[0]]) + 1)\n",
        "    \n",
        "    ## Loss\n",
        "    plt.figure(1)\n",
        "    for l in loss_list:\n",
        "        plt.plot(epochs, history.history[l], 'b', label='Training loss (' + str(str(format(history.history[l][-1],'.5f'))+')'))\n",
        "    for l in val_loss_list:\n",
        "        plt.plot(epochs, history.history[l], 'g', label='Validation loss (' + str(str(format(history.history[l][-1],'.5f'))+')'))\n",
        "    \n",
        "    plt.title('Loss')\n",
        "    plt.xlabel('Epochs')\n",
        "    plt.ylabel('Loss')\n",
        "    plt.legend()\n",
        "    \n",
        "    ## Accuracy\n",
        "    plt.figure(2)\n",
        "    for l in acc_list:\n",
        "        plt.plot(epochs, history.history[l], 'b', label='Training accuracy (' + str(format(history.history[l][-1],'.5f'))+')')\n",
        "    for l in val_acc_list:    \n",
        "        plt.plot(epochs, history.history[l], 'g', label='Validation accuracy (' + str(format(history.history[l][-1],'.5f'))+')')\n",
        "\n",
        "    plt.title('Accuracy')\n",
        "    plt.xlabel('Epochs')\n",
        "    plt.ylabel('Accuracy')\n",
        "    plt.legend()\n",
        "    plt.show()\n",
        "  \n",
        "\n",
        "class MetricsCheckpoint(Callback):\n",
        "    \"\"\"Callback that saves metrics after each epoch\"\"\"\n",
        "    def __init__(self, savepath):\n",
        "        super(MetricsCheckpoint, self).__init__()\n",
        "        self.savepath = savepath\n",
        "        self.history = {}\n",
        "    def on_epoch_end(self, epoch, logs=None):\n",
        "        for k, v in logs.items():\n",
        "            self.history.setdefault(k, []).append(v)\n",
        "        np.save(self.savepath, self.history)\n",
        "\n",
        "\n",
        "def plotKerasLearningCurve():\n",
        "    plt.figure(figsize=(10,5))\n",
        "    metrics = np.load('logs.npy')[()]\n",
        "    filt = ['acc'] # try to add 'loss' to see the loss learning curve\n",
        "    for k in filter(lambda x : np.any([kk in x for kk in filt]), metrics.keys()):\n",
        "        l = np.array(metrics[k])\n",
        "        plt.plot(l, c= 'r' if 'val' not in k else 'b', label='val' if 'val' in k else 'train')\n",
        "        x = np.argmin(l) if 'loss' in k else np.argmax(l)\n",
        "        y = l[x]\n",
        "        plt.scatter(x,y, lw=0, alpha=0.25, s=100, c='r' if 'val' not in k else 'b')\n",
        "        plt.text(x, y, '{} = {:.4f}'.format(x,y), size='15', color= 'r' if 'val' not in k else 'b')   \n",
        "    plt.legend(loc=4)\n",
        "    plt.axis([0, None, None, None]);\n",
        "    plt.grid()\n",
        "    plt.xlabel('Number of epochs')\n",
        "\n",
        "\n",
        "def plot_confusion_matrix(cm, classes,\n",
        "                          normalize=False,\n",
        "                          title='Confusion matrix',\n",
        "                          cmap=plt.cm.Blues):\n",
        "    \"\"\"\n",
        "    This function prints and plots the confusion matrix.\n",
        "    Normalization can be applied by setting `normalize=True`.\n",
        "    \"\"\"\n",
        "    plt.figure(figsize = (5,5))\n",
        "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
        "    plt.title(title)\n",
        "    plt.colorbar()\n",
        "    tick_marks = np.arange(len(classes))\n",
        "    plt.xticks(tick_marks, classes, rotation=90)\n",
        "    plt.yticks(tick_marks, classes)\n",
        "    if normalize:\n",
        "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
        "\n",
        "    thresh = cm.max() / 2.\n",
        "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
        "        plt.text(j, i, cm[i, j],\n",
        "                 horizontalalignment=\"center\",\n",
        "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
        "    plt.tight_layout()\n",
        "    plt.ylabel('True label')\n",
        "    plt.xlabel('Predicted label')\n",
        "\n",
        "dict_characters = {0: '0', 1: '1', 2: '2', \n",
        "        3: '3', 4: '4', 5: '5', 6: '6', 7:'7',\n",
        "        8: '8', 9: '9'}\n",
        "\n"
      ],
      "metadata": {
        "id": "Ll1h7mWpOfrC"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from scipy import stats\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.metrics import roc_auc_score\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "\n",
        "def calculate_tpr_fpr(y_real, y_pred):\n",
        "    '''\n",
        "    Calculates the True Positive Rate (tpr) and the True Negative Rate (fpr) based on real and predicted observations\n",
        "    \n",
        "    Args:\n",
        "        y_real: The list or series with the real classes\n",
        "        y_pred: The list or series with the predicted classes\n",
        "        \n",
        "    Returns:\n",
        "        tpr: The True Positive Rate of the classifier\n",
        "        fpr: The False Positive Rate of the classifier\n",
        "    '''\n",
        "    \n",
        "    # Calculates the confusion matrix and recover each element\n",
        "    cm = confusion_matrix(y_real, y_pred)\n",
        "    TN = cm[0, 0]\n",
        "    FP = cm[0, 1]\n",
        "    FN = cm[1, 0]\n",
        "    TP = cm[1, 1]\n",
        "    \n",
        "    # Calculates tpr and fpr\n",
        "    tpr =  TP/(TP + FN) # sensitivity - true positive rate\n",
        "    fpr = 1 - TN/(TN+FP) # 1-specificity - false positive rate\n",
        "    \n",
        "    return tpr, fpr\n",
        "  \n",
        "  \n",
        "def get_all_roc_coordinates(y_real, y_proba):\n",
        "    '''\n",
        "    Calculates all the ROC Curve coordinates (tpr and fpr) by considering each point as a threshold for the predicion of the class.\n",
        "    \n",
        "    Args:\n",
        "        y_real: The list or series with the real classes.\n",
        "        y_proba: The array with the probabilities for each class, obtained by using the `.predict_proba()` method.\n",
        "        \n",
        "    Returns:\n",
        "        tpr_list: The list of TPRs representing each threshold.\n",
        "        fpr_list: The list of FPRs representing each threshold.\n",
        "    '''\n",
        "    tpr_list = [0]\n",
        "    fpr_list = [0]\n",
        "    for i in range(len(y_proba)):\n",
        "        threshold = y_proba[i]\n",
        "        y_pred = y_proba >= threshold\n",
        "        tpr, fpr = calculate_tpr_fpr(y_real, y_pred)\n",
        "        tpr_list.append(tpr)\n",
        "        fpr_list.append(fpr)\n",
        "    return tpr_list, fpr_list \n",
        "  \n",
        "\n",
        "def plot_roc_curve(tpr, fpr, scatter = True, ax = None):\n",
        "    '''\n",
        "    Plots the ROC Curve by using the list of coordinates (tpr and fpr).\n",
        "    \n",
        "    Args:\n",
        "        tpr: The list of TPRs representing each coordinate.\n",
        "        fpr: The list of FPRs representing each coordinate.\n",
        "        scatter: When True, the points used on the calculation will be plotted with the line (default = True).\n",
        "    '''\n",
        "    if ax == None:\n",
        "        plt.figure(figsize = (5, 5))\n",
        "        ax = plt.axes()\n",
        "    \n",
        "    if scatter:\n",
        "        sns.scatterplot(x = fpr, y = tpr, ax = ax)\n",
        "    sns.lineplot(x = fpr, y = tpr, ax = ax)\n",
        "    sns.lineplot(x = [0, 1], y = [0, 1], color = 'green', ax = ax)\n",
        "    plt.xlim(-0.05, 1.05)\n",
        "    plt.ylim(-0.05, 1.05)\n",
        "    plt.xlabel(\"False Positive Rate\")\n",
        "    plt.ylabel(\"True Positive Rate\")\n",
        "    \n",
        "    \n",
        "def plot_multiclass_roc_curves(classes, categories, X_test, y_proba, y_test):\n",
        "  # Plots the Probability Distributions and the ROC Curves One vs Rest\n",
        "  plt.figure(figsize = (9, 5))\n",
        "  bins = [i/20 for i in range(20)] + [1]\n",
        "  #classes = AdaBoost.classes_\n",
        "  print(classes)\n",
        "  roc_auc_ovr = {}\n",
        "  for i in range(len(classes)):\n",
        "      # Gets the class\n",
        "      c = classes[i]      \n",
        "      # Prepares an auxiliar dataframe to help with the plots\n",
        "      df_aux = X_test.copy()\n",
        "      df_aux['class'] = [1 if y == c else 0 for y in y_test]\n",
        "      df_aux['prob'] = y_proba[:, i]\n",
        "      df_aux = df_aux.reset_index(drop = True)    \n",
        "      \n",
        "      # Plots the probability distribution for the class and the rest\n",
        "      ax = plt.subplot(2, 4, i+1)\n",
        "      sns.histplot(x = \"prob\", data = df_aux, hue = 'class', color = 'b', ax = ax, bins = bins)\n",
        "      ax.set_title(c)\n",
        "      ax.legend([f\"Class: {c}\", \"Rest\"])\n",
        "      ax.set_xlabel(f\"P(x = {c})\")\n",
        "      \n",
        "      # Calculates the ROC Coordinates and plots the ROC Curves\n",
        "      ax_bottom = plt.subplot(2, 4, i+5)    \n",
        "      tpr, fpr = get_all_roc_coordinates(df_aux['class'], df_aux['prob'])\n",
        "      plot_roc_curve(tpr, fpr, scatter = False, ax = ax_bottom)\n",
        "      ax_bottom.set_title(f\"{categories[i]} - Rest\")\n",
        "      \n",
        "      # Calculates the ROC AUC OvR\n",
        "      roc_auc_ovr[c] = roc_auc_score(df_aux['class'], df_aux['prob'])\n",
        "  plt.tight_layout()"
      ],
      "metadata": {
        "id": "_LikPjkgJJdV"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "def make_confusion_matrix(cf,\n",
        "                          group_names=None,\n",
        "                          categories='auto',\n",
        "                          count=True,\n",
        "                          percent=True,\n",
        "                          cbar=True,\n",
        "                          xyticks=True,\n",
        "                          xyplotlabels=True,\n",
        "                          sum_stats=True,\n",
        "                          figsize=None,\n",
        "                          cmap='Blues',\n",
        "                          title=None):\n",
        "    '''\n",
        "    This function will make a pretty plot of an sklearn Confusion Matrix cm using a Seaborn heatmap visualization.\n",
        "\n",
        "    Arguments\n",
        "    ---------\n",
        "    cf:            confusion matrix to be passed in\n",
        "\n",
        "    group_names:   List of strings that represent the labels row by row to be shown in each square.\n",
        "\n",
        "    categories:    List of strings containing the categories to be displayed on the x,y axis. Default is 'auto'\n",
        "\n",
        "    count:         If True, show the raw number in the confusion matrix. Default is True.\n",
        "\n",
        "    normalize:     If True, show the proportions for each category. Default is True.\n",
        "\n",
        "    cbar:          If True, show the color bar. The cbar values are based off the values in the confusion matrix.\n",
        "                   Default is True.\n",
        "\n",
        "    xyticks:       If True, show x and y ticks. Default is True.\n",
        "\n",
        "    xyplotlabels:  If True, show 'True Label' and 'Predicted Label' on the figure. Default is True.\n",
        "\n",
        "    sum_stats:     If True, display summary statistics below the figure. Default is True.\n",
        "\n",
        "    figsize:       Tuple representing the figure size. Default will be the matplotlib rcParams value.\n",
        "\n",
        "    cmap:          Colormap of the values displayed from matplotlib.pyplot.cm. Default is 'Blues'\n",
        "                   See http://matplotlib.org/examples/color/colormaps_reference.html\n",
        "                   \n",
        "    title:         Title for the heatmap. Default is None.\n",
        "\n",
        "    '''\n",
        "\n",
        "\n",
        "    # CODE TO GENERATE TEXT INSIDE EACH SQUARE\n",
        "    blanks = ['' for i in range(cf.size)]\n",
        "\n",
        "    if group_names and len(group_names)==cf.size:\n",
        "        group_labels = [\"{}\\n\".format(value) for value in group_names]\n",
        "    else:\n",
        "        group_labels = blanks\n",
        "\n",
        "    if count:\n",
        "        group_counts = [\"{0:0.0f}\\n\".format(value) for value in cf.flatten()]\n",
        "    else:\n",
        "        group_counts = blanks\n",
        "\n",
        "    if percent:\n",
        "        group_percentages = [\"{0:.2%}\".format(value) for value in cf.flatten()/np.sum(cf)]\n",
        "    else:\n",
        "        group_percentages = blanks\n",
        "\n",
        "    box_labels = [f\"{v1}{v2}{v3}\".strip() for v1, v2, v3 in zip(group_labels,group_counts,group_percentages)]\n",
        "    box_labels = np.asarray(box_labels).reshape(cf.shape[0],cf.shape[1])\n",
        "\n",
        "\n",
        "    # CODE TO GENERATE SUMMARY STATISTICS & TEXT FOR SUMMARY STATS\n",
        "    if sum_stats:\n",
        "        #Accuracy is sum of diagonal divided by total observations\n",
        "        accuracy  = np.trace(cf) / float(np.sum(cf))\n",
        "\n",
        "        #if it is a binary confusion matrix, show some more stats\n",
        "        if len(cf)==2:\n",
        "            #Metrics for Binary Confusion Matrices\n",
        "            precision = cf[1,1] / sum(cf[:,1])\n",
        "            recall    = cf[1,1] / sum(cf[1,:])\n",
        "            f1_score  = 2*precision*recall / (precision + recall)\n",
        "            stats_text = \"\\n\\nAccuracy={:0.3f}\\nPrecision={:0.3f}\\nRecall={:0.3f}\\nF1 Score={:0.3f}\".format(\n",
        "                accuracy,precision,recall,f1_score)\n",
        "        else:\n",
        "            stats_text = \"\\n\\nAccuracy={:0.3f}\".format(accuracy)\n",
        "    else:\n",
        "        stats_text = \"\"\n",
        "\n",
        "\n",
        "    # SET FIGURE PARAMETERS ACCORDING TO OTHER ARGUMENTS\n",
        "    if figsize==None:\n",
        "        #Get default figure size if not set\n",
        "        figsize = plt.rcParams.get('figure.figsize')\n",
        "\n",
        "    if xyticks==False:\n",
        "        #Do not show categories if xyticks is False\n",
        "        categories=False\n",
        "\n",
        "\n",
        "    # MAKE THE HEATMAP VISUALIZATION\n",
        "    plt.figure(figsize=figsize)\n",
        "    sns.heatmap(cf,annot=box_labels,fmt=\"\",cmap=cmap,cbar=cbar,xticklabels=categories,yticklabels=categories)\n",
        "\n",
        "    if xyplotlabels:\n",
        "        plt.ylabel('True label')\n",
        "        plt.xlabel('Predicted label' + stats_text)\n",
        "    else:\n",
        "        plt.xlabel(stats_text)\n",
        "    \n",
        "    if title:\n",
        "        plt.title(title)"
      ],
      "metadata": {
        "id": "Uoc7WlBv0HP9"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Building Model"
      ],
      "metadata": {
        "id": "ri_9F-Zlr6vI"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Cross Validation"
      ],
      "metadata": {
        "id": "aCpi1s3HIqjS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "models = [\n",
        "    RandomForestClassifier(n_estimators=200, max_depth=5, random_state=0),    \n",
        "    LinearSVC(),\n",
        "    MultinomialNB(),\n",
        "    LogisticRegression(random_state=0),\n",
        "]"
      ],
      "metadata": {
        "id": "QxE_4sqiK5L7"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 5 Cross-validation\n",
        "CV = 5\n",
        "cv_df = pd.DataFrame(index=range(CV * len(models)))"
      ],
      "metadata": {
        "id": "JU-n1FstDThZ"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "entries = []\n",
        "for model in models:\n",
        "  model_name = model.__class__.__name__\n",
        "  accuracies = cross_val_score(model, x_train, y_train, scoring='accuracy', cv=CV)\n",
        "  for fold_idx, accuracy in enumerate(accuracies):\n",
        "    entries.append((model_name, fold_idx, accuracy))\n",
        "    \n",
        "cv_df = pd.DataFrame(entries, columns=['model_name', 'fold_idx', 'accuracy'])"
      ],
      "metadata": {
        "id": "iI1psW3w6jVC"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cv_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 676
        },
        "id": "uyL-ZThKHjeI",
        "outputId": "54417a69-57b2-4689-fbd9-a79109c6b4ff"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                model_name  fold_idx  accuracy\n",
              "0   RandomForestClassifier         0  0.470356\n",
              "1   RandomForestClassifier         1  0.458498\n",
              "2   RandomForestClassifier         2  0.458498\n",
              "3   RandomForestClassifier         3  0.462451\n",
              "4   RandomForestClassifier         4  0.456349\n",
              "5                LinearSVC         0  0.395257\n",
              "6                LinearSVC         1  0.193676\n",
              "7                LinearSVC         2  0.403162\n",
              "8                LinearSVC         3  0.324111\n",
              "9                LinearSVC         4  0.404762\n",
              "10           MultinomialNB         0  0.462451\n",
              "11           MultinomialNB         1  0.450593\n",
              "12           MultinomialNB         2  0.458498\n",
              "13           MultinomialNB         3  0.470356\n",
              "14           MultinomialNB         4  0.424603\n",
              "15      LogisticRegression         0  0.498024\n",
              "16      LogisticRegression         1  0.328063\n",
              "17      LogisticRegression         2  0.486166\n",
              "18      LogisticRegression         3  0.407115\n",
              "19      LogisticRegression         4  0.424603"
            ],
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>model_name</th>\n",
              "      <th>fold_idx</th>\n",
              "      <th>accuracy</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>RandomForestClassifier</td>\n",
              "      <td>0</td>\n",
              "      <td>0.470356</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>RandomForestClassifier</td>\n",
              "      <td>1</td>\n",
              "      <td>0.458498</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>RandomForestClassifier</td>\n",
              "      <td>2</td>\n",
              "      <td>0.458498</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>RandomForestClassifier</td>\n",
              "      <td>3</td>\n",
              "      <td>0.462451</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>RandomForestClassifier</td>\n",
              "      <td>4</td>\n",
              "      <td>0.456349</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>LinearSVC</td>\n",
              "      <td>0</td>\n",
              "      <td>0.395257</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>LinearSVC</td>\n",
              "      <td>1</td>\n",
              "      <td>0.193676</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>LinearSVC</td>\n",
              "      <td>2</td>\n",
              "      <td>0.403162</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>LinearSVC</td>\n",
              "      <td>3</td>\n",
              "      <td>0.324111</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>LinearSVC</td>\n",
              "      <td>4</td>\n",
              "      <td>0.404762</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>MultinomialNB</td>\n",
              "      <td>0</td>\n",
              "      <td>0.462451</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>MultinomialNB</td>\n",
              "      <td>1</td>\n",
              "      <td>0.450593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>MultinomialNB</td>\n",
              "      <td>2</td>\n",
              "      <td>0.458498</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>MultinomialNB</td>\n",
              "      <td>3</td>\n",
              "      <td>0.470356</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>MultinomialNB</td>\n",
              "      <td>4</td>\n",
              "      <td>0.424603</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>LogisticRegression</td>\n",
              "      <td>0</td>\n",
              "      <td>0.498024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>LogisticRegression</td>\n",
              "      <td>1</td>\n",
              "      <td>0.328063</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>LogisticRegression</td>\n",
              "      <td>2</td>\n",
              "      <td>0.486166</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>LogisticRegression</td>\n",
              "      <td>3</td>\n",
              "      <td>0.407115</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>LogisticRegression</td>\n",
              "      <td>4</td>\n",
              "      <td>0.424603</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f5955aef-b6d4-47a4-9778-c9e612bdb67e');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mean_accuracy = cv_df.groupby('model_name').accuracy.mean()\n",
        "std_accuracy = cv_df.groupby('model_name').accuracy.std()\n",
        "\n",
        "acc = pd.concat([mean_accuracy, std_accuracy], axis= 1, \n",
        "          ignore_index=True)\n",
        "acc.columns = ['Mean Accuracy', 'Standard deviation']\n",
        "acc"
      ],
      "metadata": {
        "id": "T6_NV8k9OxPn",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "9fc93201-4671-424e-fd6f-4ee440dc638c"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                        Mean Accuracy  Standard deviation\n",
              "model_name                                               \n",
              "LinearSVC                    0.344193            0.090571\n",
              "LogisticRegression           0.428794            0.068408\n",
              "MultinomialNB                0.453300            0.017553\n",
              "RandomForestClassifier       0.461230            0.005557"
            ],
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              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Mean Accuracy</th>\n",
              "      <th>Standard deviation</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>model_name</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>LinearSVC</th>\n",
              "      <td>0.344193</td>\n",
              "      <td>0.090571</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LogisticRegression</th>\n",
              "      <td>0.428794</td>\n",
              "      <td>0.068408</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MultinomialNB</th>\n",
              "      <td>0.453300</td>\n",
              "      <td>0.017553</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RandomForestClassifier</th>\n",
              "      <td>0.461230</td>\n",
              "      <td>0.005557</td>\n",
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              "  </tbody>\n",
              "</table>\n",
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              "\n",
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              "\n",
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              "\n",
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              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8,5))\n",
        "sns.boxplot(x='model_name', y='accuracy', \n",
        "            data=cv_df,             \n",
        "            showmeans=True)\n",
        "plt.title(\"Mean Accuracy (cv = 5)\\n\", size=14);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 510
        },
        "id": "9jWE2MWOO5QY",
        "outputId": "08da1f8f-dcc2-405c-82bb-9bb2235a66e4"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Naive Bayes"
      ],
      "metadata": {
        "id": "XyXQ6uR1saLC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "mnb = MultinomialNB()\n",
        "mnb.fit(x_train, y_train)\n",
        "mnb.score(x_train,y_train),mnb.score(x_test,y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ss3pelIaHxQQ",
        "outputId": "e6cd5cd0-6469-44d9-d824-3f01bd58ab98"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(0.48813291139240506, 0.5147058823529411)"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "labels = ['True Neg','False Pos','False Neg','True Pos']\n",
        "categories = ['False', 'True', 'Partially False', 'Other']\n",
        "\n",
        "y_pred=mnb.predict(x_test)\n",
        "print(classification_report(y_test,y_pred, zero_division=1))\n",
        "cf_matrix_1 = confusion_matrix(y_test, y_pred)\n",
        "make_confusion_matrix(cf_matrix_1, \n",
        "                      group_names=labels,\n",
        "                      categories=categories, \n",
        "                      cmap='Blues',figsize=(5,5), cbar=False, title='Confusion Matrix: MultinomialNB')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 723
        },
        "id": "hbAT55DaISnn",
        "outputId": "4bdf1268-0013-4075-a1f6-db978eeb12b3"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.51      1.00      0.68       315\n",
            "           1       1.00      0.00      0.00       210\n",
            "           2       1.00      0.00      0.00        56\n",
            "           3       1.00      0.00      0.00        31\n",
            "\n",
            "    accuracy                           0.51       612\n",
            "   macro avg       0.88      0.25      0.17       612\n",
            "weighted avg       0.75      0.51      0.35       612\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_proba=mnb.predict_proba(x_test)\n",
        "\n",
        "plot_multiclass_roc_curves(mnb.classes_, categories, df_test, y_proba, y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 525
        },
        "id": "QXF2BxuMI1Zt",
        "outputId": "a19239a4-065a-455c-a648-f470b1aa86ff"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0 1 2 3]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x500 with 8 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Decision Tree classifier"
      ],
      "metadata": {
        "id": "OhRcUwtwIwcK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "dtclf = DecisionTreeClassifier()\n",
        "dtclf.fit(x_train, y_train)\n",
        "print(dtclf.score(x_train, y_train))\n",
        "print(dtclf.score(x_test,y_test))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jGNqvCnzIvY8",
        "outputId": "b5535dc2-8a0e-49c6-e710-4d3e7a895d37"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.8014240506329114\n",
            "0.4411764705882353\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#confusion matrix and classification report\n",
        "y_pred=dtclf.predict(x_test)\n",
        "print(classification_report(y_test, y_pred, zero_division=1))\n",
        "cf_matrix_2 = confusion_matrix(y_test, y_pred)\n",
        "make_confusion_matrix(cf_matrix_2, \n",
        "                      group_names=labels,\n",
        "                      categories=categories, \n",
        "                      cmap='Blues',figsize=(5,5),cbar=False, title='Confusion Matrix: DecisionTreeClassifier')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 723
        },
        "id": "NFoFpuI8Joi_",
        "outputId": "c6a018b0-1af2-4ab5-83de-84615890f9a2"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.58      0.70      0.64       315\n",
            "           1       0.49      0.15      0.23       210\n",
            "           2       0.11      0.27      0.16        56\n",
            "           3       0.06      0.06      0.06        31\n",
            "\n",
            "    accuracy                           0.44       612\n",
            "   macro avg       0.31      0.30      0.27       612\n",
            "weighted avg       0.48      0.44      0.42       612\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_proba=dtclf.predict_proba(x_test)\n",
        "plot_multiclass_roc_curves(dtclf.classes_, categories, df_test, y_proba, y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 525
        },
        "id": "DUN6pkuDJxHT",
        "outputId": "81d79bb5-663a-4406-ab7a-4869e733e138"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0 1 2 3]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x500 with 8 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### RandomForest"
      ],
      "metadata": {
        "id": "wLI6bLFfJ2PG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "rfclf = RandomizedSearchCV(RandomForestClassifier(),{'n_estimators':[100,200],'max_depth':range(1,5),'min_samples_split':range(2,5)},random_state=0)\n",
        "#rfclf=RandomForestClassifier(n_estimators=200, max_features='auto',max_depth=4)\n",
        "rfclf.fit(x_train, y_train)\n",
        "\n",
        "print('Training score:',rfclf.score(x_train, y_train))\n",
        "print('Testing score:',rfclf.score(x_test,y_test))\n",
        "print(rfclf.best_estimator_)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "98FqiCsVJ32O",
        "outputId": "597b5528-61a8-4164-e29f-6c4f634c04ce"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training score: 0.47072784810126583\n",
            "Testing score: 0.5163398692810458\n",
            "RandomForestClassifier(max_depth=4, min_samples_split=4, n_estimators=200)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#confusion matrix and classification report\n",
        "y_pred=rfclf.predict(x_test)\n",
        "print(classification_report(y_test,y_pred, zero_division=1))\n",
        "cf_matrix_3 = confusion_matrix(y_test, y_pred)\n",
        "make_confusion_matrix(cf_matrix_3, \n",
        "                      group_names=labels,\n",
        "                      categories=categories, \n",
        "                      cmap='Blues',figsize=(5,5),cbar=False, title='Confusion Matrix: RandomForestClassifier')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 723
        },
        "id": "06Uji9fpKAKT",
        "outputId": "d9a74ce2-dcb6-468d-8afb-503bc34af96e"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.52      1.00      0.68       315\n",
            "           1       1.00      0.00      0.00       210\n",
            "           2       0.50      0.02      0.03        56\n",
            "           3       1.00      0.00      0.00        31\n",
            "\n",
            "    accuracy                           0.52       612\n",
            "   macro avg       0.75      0.25      0.18       612\n",
            "weighted avg       0.71      0.52      0.35       612\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_proba=rfclf.predict_proba(x_test)\n",
        "plot_multiclass_roc_curves(rfclf.classes_, categories, df_test, y_proba, y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 525
        },
        "id": "JUUPAmuKKd8a",
        "outputId": "6db082ed-e6c2-4452-e351-2c91bf87be7b"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0 1 2 3]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x500 with 8 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### GradientBoosting Classifier"
      ],
      "metadata": {
        "id": "EnsIkr_eKhMH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "gbclf = RandomizedSearchCV(GradientBoostingClassifier(),{\"learning_rate\": range(3,5),\"max_depth\":[100,200],\"max_features\":range(2,10,2),\"n_estimators\":[5,10]},random_state=8,n_jobs=-1)\n",
        "#gbclf = GradientBoostingClassifier(learning_rate=3, max_depth=200, max_features=8,n_estimators=10, random_state=0)\n",
        "gbclf.fit(x_train,y_train)\n",
        "print('Training score:',gbclf.score(x_train,y_train))\n",
        "print('Testing score:',gbclf.score(x_test,y_test))\n",
        "gbclf.best_params_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "r4-rlyi-KjcK",
        "outputId": "e7927c5e-2c4a-420d-dc50-bdb4f3656740"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training score: 0.4873417721518987\n",
            "Testing score: 0.3415032679738562\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'n_estimators': 10, 'max_features': 4, 'max_depth': 200, 'learning_rate': 4}"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_pred=gbclf.predict(x_test)\n",
        "print(classification_report(y_test,y_pred))\n",
        "cf_matrix_4 = confusion_matrix(y_test, y_pred)\n",
        "make_confusion_matrix(cf_matrix_4, \n",
        "                      group_names=labels,\n",
        "                      categories=categories, \n",
        "                      cmap='Blues',figsize=(5,5),cbar=False, title='Confusion Matrix: GradientBoostingClassfier')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 723
        },
        "id": "nlb8giMhKyZC",
        "outputId": "ba61b7be-da16-46c9-8f69-ef4011135ec3"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.56      0.48      0.51       315\n",
            "           1       0.39      0.19      0.25       210\n",
            "           2       0.10      0.36      0.15        56\n",
            "           3       0.00      0.00      0.00        31\n",
            "\n",
            "    accuracy                           0.34       612\n",
            "   macro avg       0.26      0.25      0.23       612\n",
            "weighted avg       0.43      0.34      0.36       612\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_proba=gbclf.predict_proba(x_test)\n",
        "plot_multiclass_roc_curves(gbclf.classes_, categories, df_test, y_proba, y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 525
        },
        "id": "emVw-5bLK0IG",
        "outputId": "cc93f725-753b-4020-ba88-dec84924f2ab"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0 1 2 3]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x500 with 8 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### XGBoost classifier"
      ],
      "metadata": {
        "id": "Isi3zgGtLYTZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "xgb = XGBClassifier(n_estimators=50)\n",
        "xgb.fit(x_train,y_train)\n",
        "print('Training score:',xgb.score(x_train,y_train))\n",
        "print('Testing score:',xgb.score(x_test,y_test))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KqGoJkRCLbiz",
        "outputId": "2d7a8c6f-1af0-4715-d12c-846c8fb4f7df"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training score: 0.7998417721518988\n",
            "Testing score: 0.5130718954248366\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#confusion matrix and classification report\n",
        "y_pred = xgb.predict(x_test)\n",
        "print(classification_report(y_test,y_pred))\n",
        "cf_matrix_5 = confusion_matrix(y_test, y_pred)\n",
        "make_confusion_matrix(cf_matrix_5, \n",
        "                      group_names=labels,\n",
        "                      categories=categories, \n",
        "                      cmap='Blues',figsize=(5,5),cbar=False, title='Confusion Matrix: XGBoost')"
      ],
      "metadata": {
        "id": "YUyLVf_eLd1c",
        "outputId": "0d2126a4-d676-480f-d318-e6a24ba32236",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 723
        }
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.58      0.88      0.70       315\n",
            "           1       0.52      0.08      0.14       210\n",
            "           2       0.20      0.34      0.25        56\n",
            "           3       0.00      0.00      0.00        31\n",
            "\n",
            "    accuracy                           0.51       612\n",
            "   macro avg       0.32      0.33      0.27       612\n",
            "weighted avg       0.49      0.51      0.43       612\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_proba=xgb.predict_proba(x_test)\n",
        "plot_multiclass_roc_curves(xgb.classes_, categories, df_test, y_proba, y_test)"
      ],
      "metadata": {
        "id": "2WS9324zLnLN",
        "outputId": "8e02f0f4-4440-4c73-d06a-1188cf8840c0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 525
        }
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0 1 2 3]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x500 with 8 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}