{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "af5c1107",
   "metadata": {},
   "source": [
    "# Capstone Session 6\n",
    "\n",
    "This notebook is generated from the copied `Capstone_Session_6.pdf` directions and the staged `adultcensusincome.csv` dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9ea1376",
   "metadata": {},
   "source": [
    "## Objective\n",
    "\n",
    "Build and compare classification models for Adult Census income prediction while preserving the PDF-ordered exploratory, preprocessing, imbalance, and evaluation flow."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf77c458",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-12T09:27:08.428748Z",
     "iopub.status.busy": "2026-05-12T09:27:08.427750Z",
     "iopub.status.idle": "2026-05-12T09:27:11.449233Z",
     "shell.execute_reply": "2026-05-12T09:27:11.448228Z"
    }
   },
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "import json\n",
    "import sys\n",
    "from urllib.parse import quote\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from IPython.display import display\n",
    "from imblearn.over_sampling import RandomOverSampler\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score, f1_score\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.preprocessing import LabelEncoder, StandardScaler\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "IS_COLAB = 'google.colab' in sys.modules\n",
    "GITHUB_REPO_OWNER = 'FrancisBurnet'\n",
    "GITHUB_REPO_NAME = 'francisburnet'\n",
    "GITHUB_REPO_BRANCH = 'main'\n",
    "CAPSTONE_ROOT = Path('Incremental Capstones/Machine Learning Using Python/Capstone Session 6')\n",
    "DATASET_FILENAME = 'adultcensusincome.csv'\n",
    "\n",
    "\n",
    "def build_raw_github_url(relative_path: Path) -> str:\n",
    "    encoded_path = quote(relative_path.as_posix(), safe='/')\n",
    "    return (\n",
    "        f\"https://raw.githubusercontent.com/{GITHUB_REPO_OWNER}/{GITHUB_REPO_NAME}/\"\n",
    "        f\"{GITHUB_REPO_BRANCH}/{encoded_path}\"\n",
    "    )\n",
    "\n",
    "\n",
    "def resolve_capstone_dir() -> Path | None:\n",
    "    current = Path.cwd().resolve()\n",
    "    capstone_parts = CAPSTONE_ROOT.parts\n",
    "    for candidate in [current, *current.parents]:\n",
    "        if len(candidate.parts) >= len(capstone_parts) and candidate.parts[-len(capstone_parts):] == capstone_parts:\n",
    "            return candidate\n",
    "        nested_candidate = candidate / CAPSTONE_ROOT\n",
    "        if nested_candidate.exists():\n",
    "            return nested_candidate\n",
    "    return None\n",
    "\n",
    "\n",
    "CAPSTONE_DIR = resolve_capstone_dir()\n",
    "DATASET_URL = build_raw_github_url(CAPSTONE_ROOT / DATASET_FILENAME)\n",
    "\n",
    "if CAPSTONE_DIR is not None:\n",
    "    OUTPUT_ROOT = CAPSTONE_DIR\n",
    "    OUTPUT_MODE = 'permanent capstone outputs'\n",
    "    OUTPUT_DISPLAY = (CAPSTONE_ROOT / 'outputs').as_posix()\n",
    "else:\n",
    "    runtime_root = Path('/content/capstone-session-6-runtime') if IS_COLAB else Path.cwd().resolve() / 'capstone-session-6-runtime'\n",
    "    OUTPUT_ROOT = runtime_root\n",
    "    OUTPUT_MODE = 'runtime scratch outputs; export final artifacts back into the capstone outputs folder'\n",
    "    OUTPUT_DISPLAY = 'capstone-session-6-runtime/outputs'\n",
    "\n",
    "OUTPUTS_DIR = (OUTPUT_ROOT / 'outputs').resolve()\n",
    "PLOTS_DIR = OUTPUTS_DIR / 'plots'\n",
    "OUTPUTS_DIR.mkdir(parents=True, exist_ok=True)\n",
    "PLOTS_DIR.mkdir(parents=True, exist_ok=True)\n",
    "sns.set_theme(style='whitegrid')\n",
    "pd.set_option('display.max_columns', 100)\n",
    "\n",
    "print('Runtime:', 'Google Colab' if IS_COLAB else 'Notebook runtime')\n",
    "print('Capstone artifact path:', CAPSTONE_ROOT.as_posix())\n",
    "print('Dataset source:', DATASET_URL)\n",
    "print('Output mode:', OUTPUT_MODE)\n",
    "print('Output target:', OUTPUT_DISPLAY)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "36ef7d71",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-12T09:27:11.453283Z",
     "iopub.status.busy": "2026-05-12T09:27:11.452274Z",
     "iopub.status.idle": "2026-05-12T09:27:11.640335Z",
     "shell.execute_reply": "2026-05-12T09:27:11.639830Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>age</th>\n",
       "      <th>workclass</th>\n",
       "      <th>fnlwgt</th>\n",
       "      <th>education</th>\n",
       "      <th>education.num</th>\n",
       "      <th>marital.status</th>\n",
       "      <th>occupation</th>\n",
       "      <th>relationship</th>\n",
       "      <th>sex</th>\n",
       "      <th>capital.gain</th>\n",
       "      <th>capital.loss</th>\n",
       "      <th>hours.per.week</th>\n",
       "      <th>native.country</th>\n",
       "      <th>income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>90</td>\n",
       "      <td>?</td>\n",
       "      <td>77053</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>?</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>4356</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>82</td>\n",
       "      <td>Private</td>\n",
       "      <td>132870</td>\n",
       "      <td>HS-grad</td>\n",
       "      <td>9</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>Exec-managerial</td>\n",
       "      <td>Not-in-family</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>4356</td>\n",
       "      <td>18</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>66</td>\n",
       "      <td>?</td>\n",
       "      <td>186061</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Widowed</td>\n",
       "      <td>?</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>4356</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>54</td>\n",
       "      <td>Private</td>\n",
       "      <td>140359</td>\n",
       "      <td>7th-8th</td>\n",
       "      <td>4</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>Machine-op-inspct</td>\n",
       "      <td>Unmarried</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>3900</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41</td>\n",
       "      <td>Private</td>\n",
       "      <td>264663</td>\n",
       "      <td>Some-college</td>\n",
       "      <td>10</td>\n",
       "      <td>Separated</td>\n",
       "      <td>Prof-specialty</td>\n",
       "      <td>Own-child</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>3900</td>\n",
       "      <td>40</td>\n",
       "      <td>United-States</td>\n",
       "      <td>&lt;=50K</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age workclass  fnlwgt     education  education.num marital.status  \\\n",
       "0   90         ?   77053       HS-grad              9        Widowed   \n",
       "1   82   Private  132870       HS-grad              9        Widowed   \n",
       "2   66         ?  186061  Some-college             10        Widowed   \n",
       "3   54   Private  140359       7th-8th              4       Divorced   \n",
       "4   41   Private  264663  Some-college             10      Separated   \n",
       "\n",
       "          occupation   relationship     sex  capital.gain  capital.loss  \\\n",
       "0                  ?  Not-in-family  Female             0          4356   \n",
       "1    Exec-managerial  Not-in-family  Female             0          4356   \n",
       "2                  ?      Unmarried  Female             0          4356   \n",
       "3  Machine-op-inspct      Unmarried  Female             0          3900   \n",
       "4     Prof-specialty      Own-child  Female             0          3900   \n",
       "\n",
       "   hours.per.week native.country income  \n",
       "0              40  United-States  <=50K  \n",
       "1              18  United-States  <=50K  \n",
       "2              40  United-States  <=50K  \n",
       "3              40  United-States  <=50K  \n",
       "4              40  United-States  <=50K  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape: (32561, 14)\n",
      "Question mark counts: {'workclass': 1836, 'education': 0, 'marital.status': 0, 'occupation': 1843, 'relationship': 0, 'sex': 0, 'native.country': 583, 'income': 0}\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv(DATASET_URL)\n",
    "display(df.head())\n",
    "print('Dataset source used:', DATASET_URL)\n",
    "print('Shape:', df.shape)\n",
    "object_columns = df.select_dtypes(include=['object', 'string']).columns.tolist()\n",
    "question_mark_counts = {column: int((df[column].astype(str).str.strip() == '?').sum()) for column in object_columns}\n",
    "print('Question mark counts:', question_mark_counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5ee7b90e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-12T09:27:11.642842Z",
     "iopub.status.busy": "2026-05-12T09:27:11.642842Z",
     "iopub.status.idle": "2026-05-12T09:27:11.715880Z",
     "shell.execute_reply": "2026-05-12T09:27:11.714872Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remaining null values: 0\n"
     ]
    }
   ],
   "source": [
    "df = df.replace(' ?', np.nan).replace('?', np.nan)\n",
    "for column in object_columns:\n",
    "    if df[column].isna().any():\n",
    "        df[column] = df[column].fillna(df[column].mode().iloc[0])\n",
    "for column in df.columns:\n",
    "    if df[column].isna().any():\n",
    "        df[column] = df[column].fillna(df[column].median())\n",
    "print('Remaining null values:', int(df.isna().sum().sum()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "dd1360fc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-12T09:27:11.718881Z",
     "iopub.status.busy": "2026-05-12T09:27:11.718881Z",
     "iopub.status.idle": "2026-05-12T09:27:12.016513Z",
     "shell.execute_reply": "2026-05-12T09:27:12.014997Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'class_counts': {'<=50K': 24720, '>50K': 7841}, 'minority_ratio': 0.3172}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 5))\n",
    "income_counts = df['income'].value_counts()\n",
    "sns.barplot(x=income_counts.index, y=income_counts.values, ax=ax)\n",
    "ax.set_title('Income Distribution')\n",
    "fig.tight_layout()\n",
    "fig.savefig(PLOTS_DIR / 'income_barplot.png', dpi=150)\n",
    "plt.show()\n",
    "plt.close(fig)\n",
    "balance_summary = {\n",
    "    'class_counts': income_counts.to_dict(),\n",
    "    'minority_ratio': round(float(income_counts.min() / income_counts.max()), 4),\n",
    "}\n",
    "balance_summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "db1a554b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-12T09:27:12.019153Z",
     "iopub.status.busy": "2026-05-12T09:27:12.019153Z",
     "iopub.status.idle": "2026-05-12T09:27:13.812185Z",
     "shell.execute_reply": "2026-05-12T09:27:13.809178Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 5))\n",
    "sns.histplot(df['age'], kde=True, ax=ax)\n",
    "ax.set_title('Age Distribution')\n",
    "fig.tight_layout()\n",
    "fig.savefig(PLOTS_DIR / 'age_distribution.png', dpi=150)\n",
    "plt.show()\n",
    "plt.close(fig)\n",
    "\n",
    "for column in ['education', 'education.num']:\n",
    "    fig, ax = plt.subplots(figsize=(12, 5))\n",
    "    counts = df[column].value_counts().sort_values(ascending=False).head(15) if column == 'education' else df[column].value_counts().sort_index()\n",
    "    sns.barplot(x=counts.index.astype(str), y=counts.values, ax=ax)\n",
    "    ax.set_title(f'{column} Barplot')\n",
    "    ax.tick_params(axis='x', rotation=35)\n",
    "    fig.tight_layout()\n",
    "    fig.savefig(PLOTS_DIR / f'{column.replace('.', '_')}_barplot.png', dpi=150)\n",
    "    plt.show()\n",
    "    plt.close(fig)\n",
    "\n",
    "marital_counts = df['marital.status'].value_counts()\n",
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "ax.pie(marital_counts.values, labels=marital_counts.index, autopct='%1.1f%%', startangle=90)\n",
    "ax.set_title('Marital Status Distribution')\n",
    "fig.tight_layout()\n",
    "fig.savefig(PLOTS_DIR / 'marital_status_pie.png', dpi=150)\n",
    "plt.show()\n",
    "plt.close(fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b72cac10",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-12T09:27:13.815857Z",
     "iopub.status.busy": "2026-05-12T09:27:13.815857Z",
     "iopub.status.idle": "2026-05-12T09:27:15.727189Z",
     "shell.execute_reply": "2026-05-12T09:27:15.726683Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['age_band'] = pd.cut(df['age'], bins=[16, 25, 35, 45, 55, 65, 100], include_lowest=True)\n",
    "for column in ['age_band', 'education', 'marital.status', 'sex']:\n",
    "    fig, ax = plt.subplots(figsize=(12, 5))\n",
    "    grouped = pd.crosstab(df[column], df['income'])\n",
    "    grouped.plot(kind='bar', stacked=False, ax=ax)\n",
    "    ax.set_title(f'Income Count by {column}')\n",
    "    ax.tick_params(axis='x', rotation=35)\n",
    "    fig.tight_layout()\n",
    "    fig.savefig(PLOTS_DIR / f'income_by_{str(column).replace('.', '_')}.png', dpi=150)\n",
    "    plt.show()\n",
    "    plt.close(fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3663c4d7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-12T09:27:15.730713Z",
     "iopub.status.busy": "2026-05-12T09:27:15.730713Z",
     "iopub.status.idle": "2026-05-12T09:27:16.542657Z",
     "shell.execute_reply": "2026-05-12T09:27:16.541135Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'income': 1.0,\n",
       " 'education.num': 0.335153952690943,\n",
       " 'age_band': 0.23638023840533365,\n",
       " 'age': 0.234037102648859,\n",
       " 'hours.per.week': 0.22968906567080932,\n",
       " 'capital.gain': 0.22332881819538292,\n",
       " 'sex': 0.21598015058403752,\n",
       " 'capital.loss': 0.15052631177035683,\n",
       " 'education': 0.07931660927729825,\n",
       " 'occupation': 0.03462453745149705,\n",
       " 'native.country': 0.02305804502812131,\n",
       " 'workclass': 0.0026929737847155824,\n",
       " 'fnlwgt': -0.009462557247529214,\n",
       " 'marital.status': -0.19930700917197833,\n",
       " 'relationship': -0.25091814171775123}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "encoded_df = df.copy()\n",
    "label_encoders = {}\n",
    "for column in encoded_df.select_dtypes(include=['object', 'string', 'category']).columns:\n",
    "    encoder = LabelEncoder()\n",
    "    encoded_df[column] = encoder.fit_transform(encoded_df[column].astype(str))\n",
    "    label_encoders[column] = encoder\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 8))\n",
    "sns.heatmap(encoded_df.corr(numeric_only=True), cmap='viridis', ax=ax)\n",
    "ax.set_title('Encoded Feature Correlation Heatmap')\n",
    "fig.tight_layout()\n",
    "fig.savefig(PLOTS_DIR / 'correlation_heatmap.png', dpi=150)\n",
    "plt.show()\n",
    "plt.close(fig)\n",
    "correlation_to_income = encoded_df.corr(numeric_only=True)['income'].sort_values(ascending=False).to_dict()\n",
    "correlation_to_income"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bd73f513",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-12T09:27:16.546741Z",
     "iopub.status.busy": "2026-05-12T09:27:16.545736Z",
     "iopub.status.idle": "2026-05-12T09:27:16.604042Z",
     "shell.execute_reply": "2026-05-12T09:27:16.603064Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Balanced train distribution: {1: 19775, 0: 19775}\n"
     ]
    }
   ],
   "source": [
    "X = encoded_df.drop(columns=['income'])\n",
    "y = encoded_df['income']\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n",
    "sampler = RandomOverSampler(random_state=42)\n",
    "X_train_balanced, y_train_balanced = sampler.fit_resample(X_train_scaled, y_train)\n",
    "print('Balanced train distribution:', pd.Series(y_train_balanced).value_counts().to_dict())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bc86b2ed",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-12T09:27:16.606321Z",
     "iopub.status.busy": "2026-05-12T09:27:16.606321Z",
     "iopub.status.idle": "2026-05-12T09:28:38.957885Z",
     "shell.execute_reply": "2026-05-12T09:28:38.956777Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>model</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>f1_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Random Forest Classifier</td>\n",
       "      <td>0.849532</td>\n",
       "      <td>0.688889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SVM Classifier</td>\n",
       "      <td>0.793951</td>\n",
       "      <td>0.665002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>KNN Classifier</td>\n",
       "      <td>0.777675</td>\n",
       "      <td>0.627955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Logistic Regression</td>\n",
       "      <td>0.775986</td>\n",
       "      <td>0.621334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Decision Tree Classifier</td>\n",
       "      <td>0.809458</td>\n",
       "      <td>0.600064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Naive Bayes Classifier</td>\n",
       "      <td>0.817442</td>\n",
       "      <td>0.567794</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      model  accuracy  f1_score\n",
       "0  Random Forest Classifier  0.849532  0.688889\n",
       "1            SVM Classifier  0.793951  0.665002\n",
       "2            KNN Classifier  0.777675  0.627955\n",
       "3       Logistic Regression  0.775986  0.621334\n",
       "4  Decision Tree Classifier  0.809458  0.600064\n",
       "5    Naive Bayes Classifier  0.817442  0.567794"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'model': 'Random Forest Classifier',\n",
       " 'accuracy': 0.849531705819131,\n",
       " 'f1_score': 0.6888888888888889}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "models = {\n",
    "    'Logistic Regression': LogisticRegression(max_iter=1000),\n",
    "    'KNN Classifier': KNeighborsClassifier(),\n",
    "    'SVM Classifier': SVC(),\n",
    "    'Naive Bayes Classifier': GaussianNB(),\n",
    "    'Decision Tree Classifier': DecisionTreeClassifier(random_state=42),\n",
    "    'Random Forest Classifier': RandomForestClassifier(random_state=42, n_estimators=200),\n",
    "}\n",
    "results = []\n",
    "for name, model in models.items():\n",
    "    model.fit(X_train_balanced, y_train_balanced)\n",
    "    predictions = model.predict(X_test_scaled)\n",
    "    results.append({\n",
    "        'model': name,\n",
    "        'accuracy': float(accuracy_score(y_test, predictions)),\n",
    "        'f1_score': float(f1_score(y_test, predictions)),\n",
    "    })\n",
    "results_df = pd.DataFrame(results).sort_values(['f1_score', 'accuracy'], ascending=False).reset_index(drop=True)\n",
    "display(results_df)\n",
    "best_model = results_df.iloc[0].to_dict()\n",
    "best_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4bc6c74f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-05-12T09:28:38.961125Z",
     "iopub.status.busy": "2026-05-12T09:28:38.960598Z",
     "iopub.status.idle": "2026-05-12T09:28:39.251027Z",
     "shell.execute_reply": "2026-05-12T09:28:39.250018Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'dataset_shape': [32561, 15],\n",
       " 'question_mark_counts_before_cleaning': {'workclass': 1836,\n",
       "  'education': 0,\n",
       "  'marital.status': 0,\n",
       "  'occupation': 1843,\n",
       "  'relationship': 0,\n",
       "  'sex': 0,\n",
       "  'native.country': 583,\n",
       "  'income': 0},\n",
       " 'balance_summary': {'class_counts': {'<=50K': 24720, '>50K': 7841},\n",
       "  'minority_ratio': 0.3172},\n",
       " 'balanced_train_distribution': {1: 19775, 0: 19775},\n",
       " 'correlation_to_income': {'income': 1.0,\n",
       "  'education.num': 0.335153952690943,\n",
       "  'age_band': 0.23638023840533365,\n",
       "  'age': 0.234037102648859,\n",
       "  'hours.per.week': 0.22968906567080932,\n",
       "  'capital.gain': 0.22332881819538292,\n",
       "  'sex': 0.21598015058403752,\n",
       "  'capital.loss': 0.15052631177035683,\n",
       "  'education': 0.07931660927729825,\n",
       "  'occupation': 0.03462453745149705,\n",
       "  'native.country': 0.02305804502812131,\n",
       "  'workclass': 0.0026929737847155824,\n",
       "  'fnlwgt': -0.009462557247529214,\n",
       "  'marital.status': -0.19930700917197833,\n",
       "  'relationship': -0.25091814171775123},\n",
       " 'model_results': [{'model': 'Logistic Regression',\n",
       "   'accuracy': 0.7759864885613389,\n",
       "   'f1_score': 0.6213340254347262},\n",
       "  {'model': 'KNN Classifier',\n",
       "   'accuracy': 0.7776754183939812,\n",
       "   'f1_score': 0.6279547790339157},\n",
       "  {'model': 'SVM Classifier',\n",
       "   'accuracy': 0.7939505604176262,\n",
       "   'f1_score': 0.6650024962556166},\n",
       "  {'model': 'Naive Bayes Classifier',\n",
       "   'accuracy': 0.8174420389989252,\n",
       "   'f1_score': 0.5677935296255907},\n",
       "  {'model': 'Decision Tree Classifier',\n",
       "   'accuracy': 0.8094580070627975,\n",
       "   'f1_score': 0.6000644537544312},\n",
       "  {'model': 'Random Forest Classifier',\n",
       "   'accuracy': 0.849531705819131,\n",
       "   'f1_score': 0.6888888888888889}],\n",
       " 'best_model': {'model': 'Random Forest Classifier',\n",
       "  'accuracy': 0.849531705819131,\n",
       "  'f1_score': 0.6888888888888889},\n",
       " 'notes': ['RandomOverSampler is used as the explicit imbalance-fix technique from the PDF options.',\n",
       "  'The split is stratified to preserve the original class ratio before balancing the training data.']}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 5))\n",
    "results_df.plot(x='model', y=['accuracy', 'f1_score'], kind='bar', ax=ax)\n",
    "ax.set_title('Session 6 Model Comparison')\n",
    "ax.set_ylim(0, 1.05)\n",
    "fig.tight_layout()\n",
    "fig.savefig(PLOTS_DIR / 'model_comparison.png', dpi=150)\n",
    "plt.show()\n",
    "plt.close(fig)\n",
    "results_df.to_csv(OUTPUTS_DIR / 'session_6_model_metrics.csv', index=False)\n",
    "summary = {\n",
    "    'dataset_shape': list(df.shape),\n",
    "    'question_mark_counts_before_cleaning': question_mark_counts,\n",
    "    'balance_summary': balance_summary,\n",
    "    'balanced_train_distribution': pd.Series(y_train_balanced).value_counts().to_dict(),\n",
    "    'correlation_to_income': correlation_to_income,\n",
    "    'model_results': results,\n",
    "    'best_model': best_model,\n",
    "    'notes': [\n",
    "        'RandomOverSampler is used as the explicit imbalance-fix technique from the PDF options.',\n",
    "        'The split is stratified to preserve the original class ratio before balancing the training data.',\n",
    "    ],\n",
    "}\n",
    "with open(OUTPUTS_DIR / 'session_6_summary.json', 'w', encoding='utf-8') as handle:\n",
    "    json.dump(summary, handle, indent=2)\n",
    "summary"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv (3.12.10)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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