PERCI-BSCS3A-ASSESSMENT-TASK-7.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[{"file_id":"1apYzM_CH4YyqlCE5x-B1W2v8cwrPYhMm","timestamp":1711462318238},{"file_id":"1TTEOU-sONlVi28y0DwqgcWrkZheXfYI6","timestamp":1711455944883}],"authorship_tag":"ABX9TyOla21ZbbCx56E+MQNscald"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["# **Netflix Userbase Analysis**"],"metadata":{"id":"I1pRN0BnmB2P"}},{"cell_type":"markdown","source":["# *Import Libraries*"],"metadata":{"id":"rkecaMklmK5p"}},{"cell_type":"code","execution_count":19,"metadata":{"id":"zbjwNaTDhLDS","executionInfo":{"status":"ok","timestamp":1711463065101,"user_tz":-480,"elapsed":2,"user":{"displayName":"ADV ML","userId":"10920254199169543669"}}},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","from sklearn.model_selection import train_test_split\n","from sklearn.linear_model import LogisticRegression\n","from sklearn.linear_model import LinearRegression\n","from sklearn.metrics import accuracy_score, confusion_matrix, classification_report\n","from sklearn.preprocessing import StandardScaler\n","\n","from sklearn.preprocessing import LabelEncoder\n","\n","from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error\n","import random\n","\n"]},{"cell_type":"markdown","source":["# **Part 1: Data Loading and Preprocessing**"],"metadata":{"id":"RvV8FAw9uyNc"}},{"cell_type":"markdown","source":["# *Load the Dataset*"],"metadata":{"id":"GMVFeixCmrZt"}},{"cell_type":"code","source":["df = pd.read_csv('Netflix_Userbase.csv')\n","\n","print(df.head())\n","\n","print('-' * 67)\n","\n","print(df.describe())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"kYqPNSkBjcT_","executionInfo":{"status":"ok","timestamp":1711462439083,"user_tz":-480,"elapsed":6,"user":{"displayName":"ADV ML","userId":"10920254199169543669"}},"outputId":"c773edb1-bba6-43de-9914-b23bd76f4e3c"},"execution_count":3,"outputs":[{"output_type":"stream","name":"stdout","text":["   User ID Subscription Type  Monthly Revenue Join Date Last Payment Date  \\\n","0        1             Basic               10  15-01-22          10-06-23   \n","1        2           Premium               15  05-09-21          22-06-23   \n","2        3          Standard               12  28-02-23          27-06-23   \n","3        4          Standard               12  10-07-22          26-06-23   \n","4        5             Basic               10  01-05-23          28-06-23   \n","\n","          Country  Age  Gender      Device Plan Duration  \n","0   United States   28    Male  Smartphone       1 Month  \n","1          Canada   35  Female      Tablet       1 Month  \n","2  United Kingdom   42    Male    Smart TV       1 Month  \n","3       Australia   51  Female      Laptop       1 Month  \n","4         Germany   33    Male  Smartphone       1 Month  \n","-------------------------------------------------------------------\n","          User ID  Monthly Revenue          Age\n","count  2500.00000      2500.000000  2500.000000\n","mean   1250.50000        12.508400    38.795600\n","std     721.83216         1.686851     7.171778\n","min       1.00000        10.000000    26.000000\n","25%     625.75000        11.000000    32.000000\n","50%    1250.50000        12.000000    39.000000\n","75%    1875.25000        14.000000    45.000000\n","max    2500.00000        15.000000    51.000000\n"]}]},{"cell_type":"markdown","source":["# *Identify Missing Values*"],"metadata":{"id":"73o-UQC0vXtU"}},{"cell_type":"code","source":["# There was no missing value on the dataset"],"metadata":{"id":"Lo7Dio2mv-2n"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["# *Encode Categorical Variables*"],"metadata":{"id":"sytfZtF1oFdS"}},{"cell_type":"code","source":["df_dummies = pd.get_dummies(df, drop_first=True)\n","df_dummies['M_Rev'] = df['Monthly Revenue'].astype(int)"],"metadata":{"id":"xE3VTedfkKBl","executionInfo":{"status":"ok","timestamp":1711463829870,"user_tz":-480,"elapsed":399,"user":{"displayName":"ADV ML","userId":"10920254199169543669"}}},"execution_count":34,"outputs":[]},{"cell_type":"markdown","source":["# *Feature Selection*"],"metadata":{"id":"qiq110GboUZu"}},{"cell_type":"code","source":["X = df_dummies.drop([\"M_Rev\", \"Monthly Revenue\"], axis = 1)\n","y = df_dummies[\"M_Rev\"]"],"metadata":{"id":"UALSPOrqoZqq","executionInfo":{"status":"ok","timestamp":1711463833455,"user_tz":-480,"elapsed":325,"user":{"displayName":"ADV ML","userId":"10920254199169543669"}}},"execution_count":35,"outputs":[]},{"cell_type":"markdown","source":["# **Part 2: Exploratory Data Analysis (EDA)**"],"metadata":{"id":"SQ3sowWL1CeF"}},{"cell_type":"markdown","source":["# *1. Descriptive Statistics*"],"metadata":{"id":"O8Mv_nvj1JIF"}},{"cell_type":"code","source":["df.describe()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"id":"IFGsA4jH1Ixm","executionInfo":{"status":"ok","timestamp":1711462659215,"user_tz":-480,"elapsed":9,"user":{"displayName":"ADV ML","userId":"10920254199169543669"}},"outputId":"7b52f452-3b72-467f-b46e-581f5b8891d4"},"execution_count":8,"outputs":[{"output_type":"execute_result","data":{"text/plain":["          User ID  Monthly Revenue          Age\n","count  2500.00000      2500.000000  2500.000000\n","mean   1250.50000        12.508400    38.795600\n","std     721.83216         1.686851     7.171778\n","min       1.00000        10.000000    26.000000\n","25%     625.75000        11.000000    32.000000\n","50%    1250.50000        12.000000    39.000000\n","75%    1875.25000        14.000000    45.000000\n","max    2500.00000        15.000000    51.000000"],"text/html":["\n","  <div id=\"df-3dacd046-f31a-48f8-aa7f-cf0741921634\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>User ID</th>\n","      <th>Monthly Revenue</th>\n","      <th>Age</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>2500.00000</td>\n","      <td>2500.000000</td>\n","      <td>2500.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>1250.50000</td>\n","      <td>12.508400</td>\n","      <td>38.795600</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>721.83216</td>\n","      <td>1.686851</td>\n","      <td>7.171778</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>1.00000</td>\n","      <td>10.000000</td>\n","      <td>26.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>625.75000</td>\n","      <td>11.000000</td>\n","      <td>32.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>1250.50000</td>\n","      <td>12.000000</td>\n","      <td>39.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>1875.25000</td>\n","      <td>14.000000</td>\n","      <td>45.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>2500.00000</td>\n","      <td>15.000000</td>\n","      <td>51.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3dacd046-f31a-48f8-aa7f-cf0741921634')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-3dacd046-f31a-48f8-aa7f-cf0741921634 button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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Visualizations:"],"metadata":{"id":"qGuckkH42LCB"}},{"cell_type":"code","source":["plt.figure(figsize=(25,23))\n","plt.subplot(1,2,1)\n","sns.barplot(x=\"Device\",\n","            y =\"Monthly Revenue\",\n","            data=df,\n","            edgecolor=\"gray\")\n","plt.title(\"Monthly revenue each device\")\n","\n","plt.subplot(1,2,2)\n","sns.barplot(x=\"Country\",\n","            y=\"Monthly Revenue\",\n","            data=df,\n","            edgecolor=\"gray\")\n","plt.title(\"Monthly revenue each country\")\n","plt.show()\n","\n","sns.barplot(x=\"Subscription Type\",\n","            y=\"Monthly Revenue\",\n","            hue=\"Device\",\n","            data=df,\n","            edgecolor=\"gray\",\n","            lw=1)\n","plt.legend(loc=\"upper right\")\n","plt.title(\"Subscription Revenue Monthly\")\n","plt.show()\n","\n","plt.figure(figsize=(8,6))\n","gender = df.Gender.value_counts()\n","index = [\"Male\",\"Female\"]\n","colors = [\"m\",\"c\"]\n","exp = [0.01,0.1]\n","values= gender.values.tolist()\n","plt.pie(values,\n","        labels=index,\n","        autopct=\"%.2f%%\",\n","        colors=[\"#A7BBE1\", \"#ADE1D4\"],\n","        explode=exp,\n","        shadow=True,\n","        startangle=80)\n","plt.title('Gender Distribution')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"96CA6nxC2N92","executionInfo":{"status":"ok","timestamp":1711462967518,"user_tz":-480,"elapsed":3558,"user":{"displayName":"ADV ML","userId":"10920254199169543669"}},"outputId":"3b4708d5-1ece-4ae4-db6c-d78ec2dc451c"},"execution_count":18,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 2500x2300 with 2 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure 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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["# **Part 3: Linear Regression Model (Predicting Monthly Revenue)**"],"metadata":{"id":"dBryg0_kJMsl"}},{"cell_type":"markdown","source":["# *Build the Model*"],"metadata":{"id":"DOLmzVFoJUfW"}},{"cell_type":"code","source":["model = LinearRegression()\n","\n","model.fit(X, y)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":75},"id":"uflZP8SDJScl","executionInfo":{"status":"ok","timestamp":1711463839004,"user_tz":-480,"elapsed":888,"user":{"displayName":"ADV ML","userId":"10920254199169543669"}},"outputId":"fde490da-d2db-4ae7-82fe-c8a6f015d6d4"},"execution_count":36,"outputs":[{"output_type":"execute_result","data":{"text/plain":["LinearRegression()"],"text/html":["<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: 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input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 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-2 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-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 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-2 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-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 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-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 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-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 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-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</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-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"]},"metadata":{},"execution_count":36}]},{"cell_type":"markdown","source":[],"metadata":{"id":"v1ATFjrJKEPl"}},{"cell_type":"code","source":["X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.5, random_state = 42)\n","\n","# Calculate R-squared\n","r2 = r2_score(y_train, y_test)\n","print(f\"R-squared: {r2:.4f}\")\n","\n","# Calculate RMSE\n","rmse = mean_squared_error(y_train, y_test, squared=False)\n","print(f\"RMSE: {rmse:.4f}\")\n","\n","# Calculate MAE\n","mae = mean_absolute_error(y_train, y_test)\n","print(f\"MAE: {mae:.4f}\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"51ckI2gqKEXr","executionInfo":{"status":"ok","timestamp":1711463840770,"user_tz":-480,"elapsed":507,"user":{"displayName":"ADV ML","userId":"10920254199169543669"}},"outputId":"f0fc7c50-0a0f-4691-b03e-c966db617a11"},"execution_count":37,"outputs":[{"output_type":"stream","name":"stdout","text":["R-squared: -0.8734\n","RMSE: 2.3622\n","MAE: 1.8984\n"]}]},{"cell_type":"markdown","source":["# **Part 4: Logistic Regression Model**"],"metadata":{"id":"jxFSXUdx8g9P"}},{"cell_type":"markdown","source":["# *Model Building*"],"metadata":{"id":"h91JdiZSp5p_"}},{"cell_type":"code","source":["X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 42)\n","\n","scaler = StandardScaler()\n","X_train_scaled = scaler.fit_transform(X_train)\n","X_test_scaled = scaler.transform(X_test)\n","\n","model = LogisticRegression()\n","model.fit(X_train_scaled, y_train)\n","\n","y_pred = model.predict(X_test_scaled)"],"metadata":{"id":"d4NO2j0tp_jC","executionInfo":{"status":"ok","timestamp":1711463849893,"user_tz":-480,"elapsed":525,"user":{"displayName":"ADV ML","userId":"10920254199169543669"}}},"execution_count":38,"outputs":[]},{"cell_type":"markdown","source":["# *Evaluation*"],"metadata":{"id":"11MsxvwYr_zb"}},{"cell_type":"code","source":["accuracy = accuracy_score(y_test, y_pred)\n","conf_matrix = confusion_matrix(y_test, y_pred)\n","class_report = classification_report(y_test, y_pred)\n","\n","report = f\"\"\"\n","Accuracy: {accuracy}\n","\n","Confusion Matrix:\n","{conf_matrix}\n","\n","Classification Report:\n","{class_report}\n","\"\"\"\n","\n","print(report)"],"metadata":{"id":"pRZZjBybsCAA","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1711463853878,"user_tz":-480,"elapsed":449,"user":{"displayName":"ADV ML","userId":"10920254199169543669"}},"outputId":"4675e551-d0e7-4b18-c3fc-0d5710d7f6a4"},"execution_count":39,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Accuracy: 0.15\n","\n","Confusion Matrix:\n","[[ 5 18 22 15 12 13]\n"," [ 9  9 25 13 10 13]\n"," [11 13 19 16 21 13]\n"," [13  7 22 16 16 14]\n"," [ 5 16 18 20 15 11]\n"," [10 13 12 12 12 11]]\n","\n","Classification Report:\n","              precision    recall  f1-score   support\n","\n","          10       0.09      0.06      0.07        85\n","          11       0.12      0.11      0.12        79\n","          12       0.16      0.20      0.18        93\n","          13       0.17      0.18      0.18        88\n","          14       0.17      0.18      0.18        85\n","          15       0.15      0.16      0.15        70\n","\n","    accuracy                           0.15       500\n","   macro avg       0.14      0.15      0.15       500\n","weighted avg       0.15      0.15      0.15       500\n","\n","\n"]}]},{"cell_type":"markdown","source":["# **Part 5: Comparative Analysis and Visualization**"],"metadata":{"id":"qT_nhLSH88MR"}},{"cell_type":"markdown","source":["# *Feature Importance*"],"metadata":{"id":"ycYSaSiP89ER"}},{"cell_type":"code","source":["feature_importance = model.coef_[0]\n","\n","plt.figure(figsize=(10, 6))\n","sns.barplot(x=feature_importance, y=X.columns)\n","plt.xlabel(\"Coefficient (Feature Importance)\")\n","plt.ylabel(\"Features\")\n","plt.title(\"Feature Importance for Feedback Prediction\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":949},"id":"auLdzzR79UcH","executionInfo":{"status":"ok","timestamp":1711463961711,"user_tz":-480,"elapsed":16493,"user":{"displayName":"ADV ML","userId":"10920254199169543669"}},"outputId":"1e6906dc-47cd-4d47-a046-3027628a1b64"},"execution_count":40,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","          10       0.00      0.00      0.00        85\n","          11       0.00      0.00      0.00        79\n","          12       0.00      0.00      0.00        93\n","          13       0.00      0.00      0.00        88\n","          14       0.17      1.00      0.29        85\n","          15       0.00      0.00      0.00        70\n","\n","    accuracy                           0.17       500\n","   macro avg       0.03      0.17      0.05       500\n","weighted avg       0.03      0.17      0.05       500\n","\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/sklearn/base.py:432: UserWarning: X has feature names, but LogisticRegression was fitted without feature names\n","  warnings.warn(\n","/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n","/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n","/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n"]}]},{"cell_type":"markdown","source":["# *Insights*"],"metadata":{"id":"IUP1CNRq9AdK"}},{"cell_type":"code","source":["y_pred = model.predict(X_test_scaled)\n","print(classification_report(y_test, y_pred))\n","\n","# Create a histogram to visualize the distribution\n","plt.figure(figsize=(8, 6))\n","plt.hist(y_pred, bins=20, color='skyblue', edgecolor='black')\n","plt.xlabel('Predicted Probability')\n","plt.ylabel('Count')\n","plt.title('Distribution of Predicted Probabilities')\n","plt.grid(axis='y', linestyle='--', alpha=0.7)\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":790},"id":"GRKNHd-aCZp1","executionInfo":{"status":"ok","timestamp":1711464175913,"user_tz":-480,"elapsed":1553,"user":{"displayName":"ADV ML","userId":"10920254199169543669"}},"outputId":"3d1627e7-c4fa-40e1-e9fa-fcc37c47a84f"},"execution_count":42,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","          10       0.09      0.06      0.07        85\n","          11       0.12      0.11      0.12        79\n","          12       0.16      0.20      0.18        93\n","          13       0.17      0.18      0.18        88\n","          14       0.17      0.18      0.18        85\n","          15       0.15      0.16      0.15        70\n","\n","    accuracy                           0.15       500\n","   macro avg       0.14      0.15      0.15       500\n","weighted avg       0.15      0.15      0.15       500\n","\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 800x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]}]}