{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "trusted": true
   },
   "outputs": [],
   "source": [
    "!uv pip install \\\n",
    "lightgbm==4.3.0 \\\n",
    "xgboost==2.0.3 \\\n",
    "optuna \\\n",
    "optuna-integration \\\n",
    "shap \\\n",
    "river \\\n",
    "wandb \\\n",
    "kaggle \\\n",
    "plotly \\\n",
    "seaborn \\\n",
    "imbalanced-learn \\\n",
    "category-encoders category_encoders==2.6.3 transformers==4.41.2 sentence-transformers==2.7.0 numpy==1.26.4 scipy==1.11.4 scikit-learn==1.4.2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T06:40:05.313303Z",
     "iopub.status.busy": "2026-03-31T06:40:05.312568Z",
     "iopub.status.idle": "2026-03-31T06:40:11.145659Z",
     "shell.execute_reply": "2026-03-31T06:40:11.144821Z",
     "shell.execute_reply.started": "2026-03-31T06:40:05.313258Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.41.2\n",
      "2.7.0\n"
     ]
    }
   ],
   "source": [
    "import transformers, sentence_transformers\n",
    "print(transformers.__version__)\n",
    "print(sentence_transformers.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T06:40:13.336959Z",
     "iopub.status.busy": "2026-03-31T06:40:13.336518Z",
     "iopub.status.idle": "2026-03-31T06:40:31.222125Z",
     "shell.execute_reply": "2026-03-31T06:40:31.221476Z",
     "shell.execute_reply.started": "2026-03-31T06:40:13.336928Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m If you're specifying your api key in code, ensure this code is not shared publicly.\n",
      "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Consider setting the WANDB_API_KEY environment variable, or running `wandb login` from the command line.\n",
      "\u001b[34m\u001b[1mwandb\u001b[0m: [wandb.login()] Using explicit session credentials for https://api.wandb.ai.\n",
      "\u001b[34m\u001b[1mwandb\u001b[0m: No netrc file found, creating one.\n",
      "\u001b[34m\u001b[1mwandb\u001b[0m: Appending key for api.wandb.ai to your netrc file: /root/.netrc\n",
      "\u001b[34m\u001b[1mwandb\u001b[0m: Currently logged in as: \u001b[33msuvradeep\u001b[0m (\u001b[33msuvradeep-iit-guwahati-\u001b[0m) to \u001b[32mhttps://api.wandb.ai\u001b[0m. Use \u001b[1m`wandb login --relogin`\u001b[0m to force relogin\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os, gc, warnings, json, re\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sn\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# Core ML\n",
    "import lightgbm as lgb\n",
    "import xgboost as xgb\n",
    "from sklearn.model_selection import StratifiedKFold, cross_val_score\n",
    "from sklearn.preprocessing import LabelEncoder, StandardScaler, RobustScaler\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.metrics import roc_auc_score, classification_report, confusion_matrix\n",
    "from sklearn.impute import SimpleImputer\n",
    "from imblearn.over_sampling import SMOTE\n",
    "import category_encoders as ce\n",
    "import optuna\n",
    "from optuna.integration import LightGBMPruningCallback\n",
    "optuna.logging.set_verbosity(optuna.logging.WARNING)\n",
    "import shap\n",
    "from river import stream, drift, linear_model, preprocessing as river_preprocessing, metrics as river_metrics, ensemble as river_ensemble\n",
    "import wandb\n",
    "\n",
    "from sentence_transformers import SentenceTransformer\n",
    "import transformers\n",
    "\n",
    "\n",
    "wandb.login(key=os.environ.get(\"WANDB_API_KEY\", \"paste yours not mine :/\"))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T06:40:44.598435Z",
     "iopub.status.busy": "2026-03-31T06:40:44.597649Z",
     "iopub.status.idle": "2026-03-31T06:40:44.606749Z",
     "shell.execute_reply": "2026-03-31T06:40:44.605777Z",
     "shell.execute_reply.started": "2026-03-31T06:40:44.598403Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Config loaded: CFG(DATA_DIR='/kaggle/input/competitions/home-credit-default-risk', OUTPUT_DIR='/kaggle/working', MODEL_DIR='/kaggle/working/models', EXPERIMENT_NAME='credit-invisibility', SEED=42, N_FOLDS=5, LGBM_N_ITER=2000, XGB_N_ITER=1500, EARLY_STOPPING=100, OPTUNA_TRIALS=80, SBERT_MODEL='all-MiniLM-L6-v2', NLP_DIM_REDUCTION=32, DRIFT_FRACTION=0.15, DRIFT_INCOME_MULTIPLIER=0.4, WANDB_PROJECT='credit-invisibility', WANDB_ENTITY=None)\n"
     ]
    }
   ],
   "source": [
    "\n",
    "from dataclasses import dataclass, field\n",
    "from typing import List\n",
    "\n",
    "@dataclass\n",
    "class CFG:\n",
    "    # Paths\n",
    "    DATA_DIR: str = \"/kaggle/input/competitions/home-credit-default-risk\"\n",
    "    OUTPUT_DIR: str = \"/kaggle/working\"\n",
    "    MODEL_DIR: str = \"/kaggle/working/models\"\n",
    "    \n",
    "    # Experiment\n",
    "    EXPERIMENT_NAME: str = \"credit-invisibility\"\n",
    "    SEED: int = 42\n",
    "    N_FOLDS: int = 5\n",
    "    \n",
    "    # Training\n",
    "    LGBM_N_ITER: int = 2000\n",
    "    XGB_N_ITER: int = 1500\n",
    "    EARLY_STOPPING: int = 100\n",
    "    OPTUNA_TRIALS: int = 80\n",
    "    \n",
    "    # NLP\n",
    "    SBERT_MODEL: str = \"all-MiniLM-L6-v2\"   # lightweight, fast\n",
    "    NLP_DIM_REDUCTION: int = 32              # PCA to 32 dims\n",
    "    \n",
    "    # Drift simulation\n",
    "    DRIFT_FRACTION: float = 0.15\n",
    "    DRIFT_INCOME_MULTIPLIER: float = 0.4\n",
    "    \n",
    "    # W&B\n",
    "    WANDB_PROJECT: str = \"credit-invisibility\"\n",
    "    WANDB_ENTITY: str = None  # set your username\n",
    "\n",
    "cfg = CFG()\n",
    "os.makedirs(cfg.MODEL_DIR, exist_ok=True)\n",
    "np.random.seed(cfg.SEED)\n",
    "print(\"✅ Config loaded:\", cfg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T06:40:45.695625Z",
     "iopub.status.busy": "2026-03-31T06:40:45.694995Z",
     "iopub.status.idle": "2026-03-31T06:41:57.999363Z",
     "shell.execute_reply": "2026-03-31T06:41:57.998581Z",
     "shell.execute_reply.started": "2026-03-31T06:40:45.695596Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📂 Loading all Home Credit tables...\n",
      "  ✅ app_train            → (307511, 122)\n",
      "  ✅ app_test             → (48744, 121)\n",
      "  ✅ bureau               → (1716428, 17)\n",
      "  ✅ bureau_balance       → (27299925, 3)\n",
      "  ✅ prev_app             → (1670214, 37)\n",
      "  ✅ pos_cash             → (10001358, 8)\n",
      "  ✅ installments         → (13605401, 8)\n",
      "  ✅ credit_card          → (3840312, 23)\n",
      "\n",
      " Train shape: (307511, 122)\n",
      " Test shape:  (48744, 121)\n",
      "\n",
      " Target distribution:\n",
      "TARGET\n",
      "0    0.919\n",
      "1    0.081\n",
      "Name: proportion, dtype: float64\n",
      "\n",
      "  Class imbalance ratio: 11.4:1\n"
     ]
    }
   ],
   "source": [
    "def load_all_tables(data_dir: str) -> dict:\n",
    "    tables = {}\n",
    "    files = {\n",
    "        \"app_train\":      \"application_train.csv\",\n",
    "        \"app_test\":       \"application_test.csv\",\n",
    "        \"bureau\":         \"bureau.csv\",\n",
    "        \"bureau_balance\": \"bureau_balance.csv\",\n",
    "        \"prev_app\":       \"previous_application.csv\",\n",
    "        \"pos_cash\":       \"POS_CASH_balance.csv\",\n",
    "        \"installments\":   \"installments_payments.csv\",\n",
    "        \"credit_card\":    \"credit_card_balance.csv\",\n",
    "    }\n",
    "    for key, fname in files.items():\n",
    "        path = os.path.join(data_dir, fname)\n",
    "        if os.path.exists(path):\n",
    "            tables[key] = pd.read_csv(path)\n",
    "            print(f\"  ✅ {key:20s} → {tables[key].shape}\")\n",
    "        else:\n",
    "            print(f\"    {key:20s} → NOT FOUND\")\n",
    "    return tables\n",
    "\n",
    "print(\"📂 Loading all Home Credit tables...\")\n",
    "tables = load_all_tables(cfg.DATA_DIR)\n",
    "\n",
    "# Quick snapshot\n",
    "train = tables[\"app_train\"]\n",
    "test  = tables[\"app_test\"]\n",
    "\n",
    "print(f\"\\n Train shape: {train.shape}\")\n",
    "print(f\" Test shape:  {test.shape}\")\n",
    "print(f\"\\n Target distribution:\\n{train['TARGET'].value_counts(normalize=True).round(3)}\")\n",
    "print(f\"\\n  Class imbalance ratio: {train['TARGET'].value_counts()[0]/train['TARGET'].value_counts()[1]:.1f}:1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T06:41:58.001021Z",
     "iopub.status.busy": "2026-03-31T06:41:58.000765Z",
     "iopub.status.idle": "2026-03-31T06:42:01.168900Z",
     "shell.execute_reply": "2026-03-31T06:42:01.168197Z",
     "shell.execute_reply.started": "2026-03-31T06:41:58.000997Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ EDA plots saved\n"
     ]
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 3, figsize=(18, 10))\n",
    "fig.suptitle(\"Home Credit — Exploratory Data Analysis\", fontsize=16, fontweight=\"bold\")\n",
    "\n",
    "# 1. Target distribution\n",
    "axes[0,0].pie(\n",
    "    train[\"TARGET\"].value_counts(),\n",
    "    labels=[\"Non-Default (0)\", \"Default (1)\"],\n",
    "    autopct=\"%1.1f%%\", colors=[\"#2196F3\",\"#F44336\"], startangle=90\n",
    ")\n",
    "axes[0,0].set_title(\"Target Distribution\")\n",
    "\n",
    "# 2. Income distribution by target\n",
    "for t, color in zip([0, 1], [\"#2196F3\", \"#F44336\"]):\n",
    "    subset = train[train[\"TARGET\"] == t][\"AMT_INCOME_TOTAL\"].clip(0, 500000)\n",
    "    axes[0,1].hist(subset, bins=50, alpha=0.6, label=f\"Target={t}\", color=color)\n",
    "axes[0,1].set_title(\"Income Distribution by Target\")\n",
    "axes[0,1].legend()\n",
    "axes[0,1].set_xlabel(\"Annual Income\")\n",
    "\n",
    "# 3. Credit amount by target\n",
    "for t, color in zip([0, 1], [\"#2196F3\", \"#F44336\"]):\n",
    "    subset = train[train[\"TARGET\"] == t][\"AMT_CREDIT\"].clip(0, 2000000)\n",
    "    axes[0,2].hist(subset, bins=50, alpha=0.6, label=f\"Target={t}\", color=color)\n",
    "axes[0,2].set_title(\"Credit Amount by Target\")\n",
    "axes[0,2].legend()\n",
    "\n",
    "# 4. Missing value heatmap (top 20)\n",
    "missing = (train.isnull().sum() / len(train) * 100).sort_values(ascending=False).head(20)\n",
    "axes[1,0].barh(missing.index, missing.values, color=\"#FF9800\")\n",
    "axes[1,0].set_title(\"Top 20 Missing Value %\")\n",
    "axes[1,0].set_xlabel(\"Missing %\")\n",
    "\n",
    "# 5. Age distribution\n",
    "age_years = train[\"DAYS_BIRTH\"].abs() / 365\n",
    "for t, color in zip([0, 1], [\"#2196F3\", \"#F44336\"]):\n",
    "    subset = age_years[train[\"TARGET\"] == t]\n",
    "    axes[1,1].hist(subset, bins=40, alpha=0.6, label=f\"Target={t}\", color=color)\n",
    "axes[1,1].set_title(\"Age Distribution by Target\")\n",
    "axes[1,1].set_xlabel(\"Age (years)\")\n",
    "axes[1,1].legend()\n",
    "\n",
    "# 6. Occupation type default rate\n",
    "occ_default = train.groupby(\"OCCUPATION_TYPE\")[\"TARGET\"].mean().sort_values(ascending=False)\n",
    "axes[1,2].barh(occ_default.index, occ_default.values, color=\"#9C27B0\")\n",
    "axes[1,2].set_title(\"Default Rate by Occupation\")\n",
    "axes[1,2].set_xlabel(\"Default Rate\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(f\"{cfg.OUTPUT_DIR}/eda_overview.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "print(\"✅ EDA plots saved\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T06:42:01.169884Z",
     "iopub.status.busy": "2026-03-31T06:42:01.169650Z",
     "iopub.status.idle": "2026-03-31T06:51:03.626945Z",
     "shell.execute_reply": "2026-03-31T06:51:03.626137Z",
     "shell.execute_reply.started": "2026-03-31T06:42:01.169837Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Bureau features: (305811, 35)\n"
     ]
    }
   ],
   "source": [
    "def engineer_bureau_features(bureau: pd.DataFrame, bureau_balance: pd.DataFrame) -> pd.DataFrame:\n",
    "    \"\"\"Extract rich signals from external credit bureau data.\"\"\"\n",
    "    \n",
    "    # Bureau balance — rolling DPD (days past due) features\n",
    "    bb_agg = bureau_balance.groupby(\"SK_ID_BUREAU\").agg(\n",
    "        STATUS_WORST  = (\"STATUS\", lambda x: x.map({\"C\":0,\"0\":0,\"1\":1,\"2\":2,\"3\":3,\"4\":4,\"5\":5,\"X\":0}).max()),\n",
    "        STATUS_MEAN   = (\"STATUS\", lambda x: x.map({\"C\":0,\"0\":0,\"1\":1,\"2\":2,\"3\":3,\"4\":4,\"5\":5,\"X\":0}).mean()),\n",
    "        MONTHS_COUNT  = (\"MONTHS_BALANCE\", \"count\"),\n",
    "    ).reset_index()\n",
    "    \n",
    "    bureau = bureau.merge(bb_agg, on=\"SK_ID_BUREAU\", how=\"left\")\n",
    "    \n",
    "    # Active vs closed credit\n",
    "    bureau[\"CREDIT_ACTIVE_BINARY\"] = (bureau[\"CREDIT_ACTIVE\"] == \"Active\").astype(int)\n",
    "    bureau[\"DAYS_CREDIT_ENDDATE\"]  = bureau[\"DAYS_CREDIT_ENDDATE\"].clip(-3000, 3000)\n",
    "    bureau[\"DEBT_CREDIT_RATIO\"]    = bureau[\"AMT_CREDIT_SUM_DEBT\"] / (bureau[\"AMT_CREDIT_SUM\"] + 1)\n",
    "    bureau[\"CREDIT_UTIL_RATE\"]     = bureau[\"AMT_CREDIT_SUM_OVERDUE\"] / (bureau[\"AMT_CREDIT_SUM\"] + 1)\n",
    "    \n",
    "    aggregations = {\n",
    "        \"DAYS_CREDIT\":            [\"mean\",\"min\",\"max\",\"std\"],\n",
    "        \"CREDIT_DAY_OVERDUE\":     [\"mean\",\"max\",\"sum\"],\n",
    "        \"DAYS_CREDIT_ENDDATE\":    [\"mean\",\"min\",\"max\"],\n",
    "        \"AMT_CREDIT_SUM\":         [\"mean\",\"max\",\"sum\"],\n",
    "        \"AMT_CREDIT_SUM_DEBT\":    [\"mean\",\"max\",\"sum\"],\n",
    "        \"AMT_CREDIT_SUM_OVERDUE\": [\"mean\",\"max\",\"sum\"],\n",
    "        \"DEBT_CREDIT_RATIO\":      [\"mean\",\"max\"],\n",
    "        \"CREDIT_UTIL_RATE\":       [\"mean\",\"max\"],\n",
    "        \"CREDIT_ACTIVE_BINARY\":   [\"mean\",\"sum\"],\n",
    "        \"STATUS_WORST\":           [\"mean\",\"max\"],\n",
    "        \"STATUS_MEAN\":            [\"mean\"],\n",
    "        \"MONTHS_COUNT\":           [\"mean\",\"sum\"],\n",
    "        \"CNT_CREDIT_PROLONG\":     [\"sum\",\"mean\"],\n",
    "    }\n",
    "    \n",
    "    bureau_agg = bureau.groupby(\"SK_ID_CURR\").agg(aggregations)\n",
    "    bureau_agg.columns = [\"BUREAU_\" + \"_\".join(col).upper() for col in bureau_agg.columns]\n",
    "    \n",
    "    # Count of bureau records (signal for credit footprint)\n",
    "    bureau_agg[\"BUREAU_COUNT\"] = bureau.groupby(\"SK_ID_CURR\").size()\n",
    "    bureau_agg[\"BUREAU_ACTIVE_COUNT\"] = bureau.groupby(\"SK_ID_CURR\")[\"CREDIT_ACTIVE_BINARY\"].sum()\n",
    "    \n",
    "    return bureau_agg.reset_index()\n",
    "\n",
    "bureau_features = engineer_bureau_features(tables[\"bureau\"], tables[\"bureau_balance\"])\n",
    "print(f\"✅ Bureau features: {bureau_features.shape}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T06:51:03.629315Z",
     "iopub.status.busy": "2026-03-31T06:51:03.629008Z",
     "iopub.status.idle": "2026-03-31T06:51:07.353636Z",
     "shell.execute_reply": "2026-03-31T06:51:07.352990Z",
     "shell.execute_reply.started": "2026-03-31T06:51:03.629289Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Prev app features:   (338857, 10)\n",
      "✅ Installments features:(339587, 7)\n",
      "✅ POS Cash features:   (337252, 6)\n",
      "✅ Credit Card features:(103558, 7)\n"
     ]
    }
   ],
   "source": [
    "def engineer_prev_app_features(prev: pd.DataFrame) -> pd.DataFrame:\n",
    "    prev[\"APP_CREDIT_RATIO\"]       = prev[\"AMT_APPLICATION\"] / (prev[\"AMT_CREDIT\"] + 1)\n",
    "    prev[\"DOWN_PAYMENT_RATIO\"]     = prev[\"AMT_DOWN_PAYMENT\"] / (prev[\"AMT_CREDIT\"] + 1)\n",
    "    prev[\"ANNUITY_CREDIT_RATIO\"]   = prev[\"AMT_ANNUITY\"] / (prev[\"AMT_CREDIT\"] + 1)\n",
    "    prev[\"APPROVED\"]               = (prev[\"NAME_CONTRACT_STATUS\"] == \"Approved\").astype(int)\n",
    "    prev[\"REFUSED\"]                = (prev[\"NAME_CONTRACT_STATUS\"] == \"Refused\").astype(int)\n",
    "    \n",
    "    agg = prev.groupby(\"SK_ID_CURR\").agg(\n",
    "        PREV_COUNT                = (\"SK_ID_PREV\",            \"count\"),\n",
    "        PREV_APPROVED_RATE        = (\"APPROVED\",              \"mean\"),\n",
    "        PREV_REFUSED_RATE         = (\"REFUSED\",               \"mean\"),\n",
    "        PREV_APP_CREDIT_RATIO_MEAN= (\"APP_CREDIT_RATIO\",      \"mean\"),\n",
    "        PREV_ANNUITY_MEAN         = (\"AMT_ANNUITY\",           \"mean\"),\n",
    "        PREV_CREDIT_MEAN          = (\"AMT_CREDIT\",            \"mean\"),\n",
    "        PREV_DAYS_DECISION_MEAN   = (\"DAYS_DECISION\",         \"mean\"),\n",
    "        PREV_DAYS_DECISION_MIN    = (\"DAYS_DECISION\",         \"min\"),\n",
    "        PREV_GOODS_PRICE_MEAN     = (\"AMT_GOODS_PRICE\",       \"mean\"),\n",
    "    ).reset_index()\n",
    "    agg.columns = [\"SK_ID_CURR\"] + [\"PREV_\" + c if not c.startswith(\"PREV\") else c for c in agg.columns[1:]]\n",
    "    return agg\n",
    "\n",
    "def engineer_installments_features(inst: pd.DataFrame) -> pd.DataFrame:\n",
    "    inst[\"PAYMENT_DIFF\"]     = inst[\"AMT_INSTALMENT\"] - inst[\"AMT_PAYMENT\"]\n",
    "    inst[\"DAYS_ENTRY_DIFF\"]  = inst[\"DAYS_INSTALMENT\"] - inst[\"DAYS_ENTRY_PAYMENT\"]\n",
    "    inst[\"LATE_PAYMENT\"]     = (inst[\"DAYS_ENTRY_DIFF\"] > 0).astype(int)\n",
    "    inst[\"SHORT_PAYMENT\"]    = (inst[\"PAYMENT_DIFF\"] > 0).astype(int)\n",
    "    \n",
    "    agg = inst.groupby(\"SK_ID_CURR\").agg(\n",
    "        INST_PAYMENT_DIFF_MEAN  = (\"PAYMENT_DIFF\",    \"mean\"),\n",
    "        INST_PAYMENT_DIFF_MAX   = (\"PAYMENT_DIFF\",    \"max\"),\n",
    "        INST_DAYS_ENTRY_DIFF_MEAN=(\"DAYS_ENTRY_DIFF\", \"mean\"),\n",
    "        INST_LATE_PAYMENT_RATE  = (\"LATE_PAYMENT\",    \"mean\"),\n",
    "        INST_SHORT_PAYMENT_RATE = (\"SHORT_PAYMENT\",   \"mean\"),\n",
    "        INST_COUNT              = (\"SK_ID_PREV\",      \"count\"),\n",
    "    ).reset_index()\n",
    "    return agg\n",
    "\n",
    "def engineer_pos_cash_features(pos: pd.DataFrame) -> pd.DataFrame:\n",
    "    pos[\"DPD_BINARY\"] = (pos[\"SK_DPD\"] > 0).astype(int)\n",
    "    agg = pos.groupby(\"SK_ID_CURR\").agg(\n",
    "        POS_MONTHS_COUNT    = (\"MONTHS_BALANCE\",  \"count\"),\n",
    "        POS_SK_DPD_MEAN     = (\"SK_DPD\",          \"mean\"),\n",
    "        POS_SK_DPD_MAX      = (\"SK_DPD\",          \"max\"),\n",
    "        POS_DPD_RATE        = (\"DPD_BINARY\",       \"mean\"),\n",
    "        POS_CNT_INSTALMENT_MEAN=(\"CNT_INSTALMENT\", \"mean\"),\n",
    "    ).reset_index()\n",
    "    return agg\n",
    "\n",
    "def engineer_credit_card_features(cc: pd.DataFrame) -> pd.DataFrame:\n",
    "    cc[\"UTIL_RATE\"]   = cc[\"AMT_BALANCE\"] / (cc[\"AMT_CREDIT_LIMIT_ACTUAL\"] + 1)\n",
    "    cc[\"DRAWING_RATE\"]= cc[\"AMT_DRAWINGS_CURRENT\"] / (cc[\"AMT_CREDIT_LIMIT_ACTUAL\"] + 1)\n",
    "    agg = cc.groupby(\"SK_ID_CURR\").agg(\n",
    "        CC_UTIL_RATE_MEAN   = (\"UTIL_RATE\",       \"mean\"),\n",
    "        CC_UTIL_RATE_MAX    = (\"UTIL_RATE\",        \"max\"),\n",
    "        CC_DRAWING_RATE_MEAN= (\"DRAWING_RATE\",     \"mean\"),\n",
    "        CC_AMT_BALANCE_MEAN = (\"AMT_BALANCE\",      \"mean\"),\n",
    "        CC_COUNT            = (\"SK_ID_PREV\",        \"count\"),\n",
    "        CC_DPD_MEAN         = (\"SK_DPD\",           \"mean\"),\n",
    "    ).reset_index()\n",
    "    return agg\n",
    "\n",
    "prev_features  = engineer_prev_app_features(tables[\"prev_app\"])\n",
    "inst_features  = engineer_installments_features(tables[\"installments\"])\n",
    "pos_features   = engineer_pos_cash_features(tables[\"pos_cash\"])\n",
    "cc_features    = engineer_credit_card_features(tables[\"credit_card\"])\n",
    "\n",
    "print(f\"✅ Prev app features:   {prev_features.shape}\")\n",
    "print(f\"✅ Installments features:{inst_features.shape}\")\n",
    "print(f\"✅ POS Cash features:   {pos_features.shape}\")\n",
    "print(f\"✅ Credit Card features:{cc_features.shape}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T06:51:07.354868Z",
     "iopub.status.busy": "2026-03-31T06:51:07.354598Z",
     "iopub.status.idle": "2026-03-31T06:51:09.189463Z",
     "shell.execute_reply": "2026-03-31T06:51:09.188838Z",
     "shell.execute_reply.started": "2026-03-31T06:51:07.354822Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Engineered features: (307511, 144)\n"
     ]
    }
   ],
   "source": [
    "def engineer_app_features(df: pd.DataFrame) -> pd.DataFrame:\n",
    "    df = df.copy()\n",
    "    \n",
    "    # Domain knowledge ratios\n",
    "    df[\"CREDIT_INCOME_RATIO\"]       = df[\"AMT_CREDIT\"] / (df[\"AMT_INCOME_TOTAL\"] + 1)\n",
    "    df[\"ANNUITY_INCOME_RATIO\"]      = df[\"AMT_ANNUITY\"] / (df[\"AMT_INCOME_TOTAL\"] + 1)\n",
    "    df[\"CREDIT_TERM\"]               = df[\"AMT_ANNUITY\"] / (df[\"AMT_CREDIT\"] + 1)\n",
    "    df[\"GOODS_CREDIT_RATIO\"]        = df[\"AMT_GOODS_PRICE\"] / (df[\"AMT_CREDIT\"] + 1)\n",
    "    \n",
    "    # Age and employment signals\n",
    "    df[\"AGE_YEARS\"]                 = df[\"DAYS_BIRTH\"].abs() / 365.25\n",
    "    df[\"EMPLOYMENT_YEARS\"]          = df[\"DAYS_EMPLOYED\"].apply(lambda x: abs(x)/365.25 if x < 0 else 0)\n",
    "    df[\"EMPLOYED_RATIO\"]            = df[\"EMPLOYMENT_YEARS\"] / (df[\"AGE_YEARS\"] + 1)\n",
    "    df[\"CREDIT_TO_AGE\"]             = df[\"AMT_CREDIT\"] / (df[\"AGE_YEARS\"] + 1)\n",
    "    \n",
    "    # Family / social signals\n",
    "    df[\"INCOME_PER_PERSON\"]         = df[\"AMT_INCOME_TOTAL\"] / (df[\"CNT_FAM_MEMBERS\"] + 1)\n",
    "    df[\"CHILDREN_RATIO\"]            = df[\"CNT_CHILDREN\"] / (df[\"CNT_FAM_MEMBERS\"] + 1)\n",
    "    \n",
    "    # External scores (most predictive in Home Credit baseline)\n",
    "    df[\"EXT_SOURCE_MEAN\"]           = df[[\"EXT_SOURCE_1\",\"EXT_SOURCE_2\",\"EXT_SOURCE_3\"]].mean(axis=1)\n",
    "    df[\"EXT_SOURCE_MIN\"]            = df[[\"EXT_SOURCE_1\",\"EXT_SOURCE_2\",\"EXT_SOURCE_3\"]].min(axis=1)\n",
    "    df[\"EXT_SOURCE_PROD\"]           = df[\"EXT_SOURCE_1\"] * df[\"EXT_SOURCE_2\"] * df[\"EXT_SOURCE_3\"]\n",
    "    df[\"EXT_SOURCE_STD\"]            = df[[\"EXT_SOURCE_1\",\"EXT_SOURCE_2\",\"EXT_SOURCE_3\"]].std(axis=1)\n",
    "    df[\"EXT1_EXT2_INTERACTION\"]     = df[\"EXT_SOURCE_1\"] * df[\"EXT_SOURCE_2\"]\n",
    "    df[\"EXT2_EXT3_INTERACTION\"]     = df[\"EXT_SOURCE_2\"] * df[\"EXT_SOURCE_3\"]\n",
    "    df[\"EXT_CREDIT_RATIO\"]          = df[\"EXT_SOURCE_MEAN\"] * df[\"CREDIT_INCOME_RATIO\"]\n",
    "    \n",
    "    # Document flags — count missing documents\n",
    "    doc_cols = [c for c in df.columns if \"FLAG_DOCUMENT\" in c]\n",
    "    df[\"DOCUMENT_COUNT\"]            = df[doc_cols].sum(axis=1)\n",
    "    \n",
    "    # Enquiry signals (loan shopping behavior)\n",
    "    enq_cols = [c for c in df.columns if \"AMT_REQ_CREDIT_BUREAU\" in c]\n",
    "    df[\"TOTAL_ENQUIRIES\"]           = df[enq_cols].sum(axis=1)\n",
    "    df[\"RECENT_ENQUIRY_RATIO\"]      = df.get(\"AMT_REQ_CREDIT_BUREAU_WEEK\", pd.Series(0, index=df.index)) / (df[\"TOTAL_ENQUIRIES\"] + 1)\n",
    "    \n",
    "    # Car & realty\n",
    "    df[\"HAS_CAR_REALTY\"]            = ((df[\"FLAG_OWN_CAR\"] == \"Y\") & (df[\"FLAG_OWN_REALTY\"] == \"Y\")).astype(int)\n",
    "    \n",
    "    # Days registration relative to application\n",
    "    df[\"DAYS_REGISTRATION_RATIO\"]   = df[\"DAYS_REGISTRATION\"] / (df[\"DAYS_BIRTH\"] + 1)\n",
    "    \n",
    "    # Label encode categoricals\n",
    "    cat_cols = df.select_dtypes(\"object\").columns.tolist()\n",
    "    le = LabelEncoder()\n",
    "    for col in cat_cols:\n",
    "        df[col] = df[col].fillna(\"Unknown\")\n",
    "        df[col] = le.fit_transform(df[col].astype(str))\n",
    "    \n",
    "    return df\n",
    "\n",
    "train_eng = engineer_app_features(train)\n",
    "test_eng  = engineer_app_features(test)\n",
    "print(f\"✅ Engineered features: {train_eng.shape}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T06:51:09.190573Z",
     "iopub.status.busy": "2026-03-31T06:51:09.190304Z",
     "iopub.status.idle": "2026-03-31T06:55:24.210555Z",
     "shell.execute_reply": "2026-03-31T06:55:24.209931Z",
     "shell.execute_reply.started": "2026-03-31T06:51:09.190550Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🔤 Generating financial narratives...\n",
      "  Sample: Applicant aged 26 years with annual income of 202500 currency units. Requesting credit of 406598 for personal needs. Emp...\n",
      "\n",
      "🤖 Loading SBERT model...\n"
     ]
    },
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Encoding train texts (batch)...\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c7b2ba1513dc40178012ece78828027d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Batches:   0%|          | 0/601 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Encoding test texts (batch)...\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5ec8ace234404fbe89eda5828db2b628",
       "version_major": 2,
       "version_minor": 0
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      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "✅ Embeddings shape: (307511, 384)\n",
      "✅ After PCA: (307511, 32) | Explained variance: 0.904\n",
      "✅ NLP features ready\n"
     ]
    }
   ],
   "source": [
    "def generate_financial_descriptions(df: pd.DataFrame) -> list:\n",
    "    \"\"\"\n",
    "    Synthesize a financial narrative per applicant from tabular data.\n",
    "    This simulates what a financial literacy assessment text would contain.\n",
    "    \"\"\"\n",
    "    descriptions = []\n",
    "    for _, row in df.iterrows():\n",
    "        age = abs(row.get(\"DAYS_BIRTH\", -365*35)) / 365\n",
    "        income = row.get(\"AMT_INCOME_TOTAL\", 100000)\n",
    "        credit = row.get(\"AMT_CREDIT\", 200000)\n",
    "        ext_score = row.get(\"EXT_SOURCE_MEAN\", 0.5)\n",
    "        emp_years = max(0, -row.get(\"DAYS_EMPLOYED\", -5*365)) / 365\n",
    "        \n",
    "        # Map external score to financial literacy level\n",
    "        if ext_score > 0.65:\n",
    "            literacy = \"demonstrates strong financial planning habits and consistently pays bills on time\"\n",
    "        elif ext_score > 0.45:\n",
    "            literacy = \"shows moderate financial awareness with occasional late payments\"\n",
    "        else:\n",
    "            literacy = \"has limited financial experience and irregular payment patterns\"\n",
    "        \n",
    "        desc = (\n",
    "            f\"Applicant aged {age:.0f} years with annual income of {income:.0f} currency units. \"\n",
    "            f\"Requesting credit of {credit:.0f} for personal needs. \"\n",
    "            f\"Employed for {emp_years:.1f} years in current position. \"\n",
    "            f\"Client {literacy}. \"\n",
    "            f\"External credit assessment score: {ext_score:.2f}. \"\n",
    "            f\"{'Owns property which serves as collateral.' if row.get('FLAG_OWN_REALTY', 0) else 'No property ownership.'} \"\n",
    "            f\"{'Has dependents in household.' if row.get('CNT_CHILDREN', 0) > 0 else 'No children.'}\"\n",
    "        )\n",
    "        descriptions.append(desc)\n",
    "    return descriptions\n",
    "\n",
    "print(\"🔤 Generating financial narratives...\")\n",
    "train_texts = generate_financial_descriptions(train_eng)\n",
    "test_texts  = generate_financial_descriptions(test_eng)\n",
    "print(f\"  Sample: {train_texts[0][:120]}...\")\n",
    "\n",
    "# Embed with Sentence-BERT\n",
    "print(\"\\n🤖 Loading SBERT model...\")\n",
    "sbert = SentenceTransformer(cfg.SBERT_MODEL)\n",
    "\n",
    "print(\"  Encoding train texts (batch)...\")\n",
    "train_embeddings = sbert.encode(\n",
    "    train_texts, batch_size=512, show_progress_bar=True,\n",
    "    normalize_embeddings=True, convert_to_numpy=True\n",
    ")\n",
    "\n",
    "print(\"  Encoding test texts (batch)...\")\n",
    "test_embeddings = sbert.encode(\n",
    "    test_texts, batch_size=512, show_progress_bar=True,\n",
    "    normalize_embeddings=True, convert_to_numpy=True\n",
    ")\n",
    "\n",
    "print(f\"\\n✅ Embeddings shape: {train_embeddings.shape}\")\n",
    "\n",
    "# Reduce dims with PCA\n",
    "from sklearn.decomposition import PCA\n",
    "pca = PCA(n_components=cfg.NLP_DIM_REDUCTION, random_state=cfg.SEED)\n",
    "train_emb_reduced = pca.fit_transform(train_embeddings)\n",
    "test_emb_reduced  = pca.transform(test_embeddings)\n",
    "\n",
    "print(f\"✅ After PCA: {train_emb_reduced.shape} | Explained variance: {pca.explained_variance_ratio_.sum():.3f}\")\n",
    "\n",
    "# Create DataFrame\n",
    "emb_cols = [f\"NLP_EMB_{i}\" for i in range(cfg.NLP_DIM_REDUCTION)]\n",
    "train_nlp_df = pd.DataFrame(train_emb_reduced, columns=emb_cols, index=train_eng.index)\n",
    "test_nlp_df  = pd.DataFrame(test_emb_reduced,  columns=emb_cols, index=test_eng.index)\n",
    "\n",
    "del sbert, train_embeddings, test_embeddings; gc.collect()\n",
    "print(\"✅ NLP features ready\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T06:55:24.212180Z",
     "iopub.status.busy": "2026-03-31T06:55:24.211481Z",
     "iopub.status.idle": "2026-03-31T06:55:27.651038Z",
     "shell.execute_reply": "2026-03-31T06:55:27.650289Z",
     "shell.execute_reply.started": "2026-03-31T06:55:24.212151Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🔗 Merging all feature tables...\n",
      "✅ Final train shape: (307511, 236)\n",
      "✅ Final test shape:  (48744, 235)\n",
      "\n",
      "✅ X: (307511, 234) | y: (307511,)\n",
      "   NLP features: 32 | Tabular: 202\n"
     ]
    }
   ],
   "source": [
    "def merge_all_features(app_df, bureau_feat, prev_feat, inst_feat, pos_feat, cc_feat, nlp_feat):\n",
    "    df = app_df.copy()\n",
    "    df = df.merge(bureau_feat, on=\"SK_ID_CURR\", how=\"left\")\n",
    "    df = df.merge(prev_feat,   on=\"SK_ID_CURR\", how=\"left\")\n",
    "    df = df.merge(inst_feat,   on=\"SK_ID_CURR\", how=\"left\")\n",
    "    df = df.merge(pos_feat,    on=\"SK_ID_CURR\", how=\"left\")\n",
    "    df = df.merge(cc_feat,     on=\"SK_ID_CURR\", how=\"left\")\n",
    "    \n",
    "    # NLP features (index-aligned)\n",
    "    nlp_feat_reset = nlp_feat.reset_index(drop=True)\n",
    "    df = df.reset_index(drop=True)\n",
    "    df = pd.concat([df, nlp_feat_reset], axis=1)\n",
    "    \n",
    "    return df\n",
    "\n",
    "print(\"🔗 Merging all feature tables...\")\n",
    "train_full = merge_all_features(train_eng, bureau_features, prev_features, inst_features, pos_features, cc_features, train_nlp_df)\n",
    "test_full  = merge_all_features(test_eng,  bureau_features, prev_features, inst_features, pos_features, cc_features, test_nlp_df)\n",
    "\n",
    "print(f\"✅ Final train shape: {train_full.shape}\")\n",
    "print(f\"✅ Final test shape:  {test_full.shape}\")\n",
    "\n",
    "# Separate target + features\n",
    "TARGET     = \"TARGET\"\n",
    "DROP_COLS  = [\"TARGET\", \"SK_ID_CURR\"]\n",
    "FEATURE_COLS = [c for c in train_full.columns if c not in DROP_COLS]\n",
    "\n",
    "X = train_full[FEATURE_COLS]\n",
    "y = train_full[TARGET]\n",
    "X_test_final = test_full[FEATURE_COLS]\n",
    "\n",
    "print(f\"\\n✅ X: {X.shape} | y: {y.shape}\")\n",
    "print(f\"   NLP features: {sum(1 for c in FEATURE_COLS if 'NLP' in c)} | Tabular: {sum(1 for c in FEATURE_COLS if 'NLP' not in c)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T06:55:27.652246Z",
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     "iopub.status.idle": "2026-03-31T07:01:16.706189Z",
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     "shell.execute_reply.started": "2026-03-31T06:55:27.652222Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🚀 Running LightGBM Baseline...\n"
     ]
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
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     "data": {
      "text/html": [
       "Tracking run with wandb version 0.25.0"
      ],
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       "<IPython.core.display.HTML object>"
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     "metadata": {},
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     "data": {
      "text/html": [
       "Run data is saved locally in <code>/kaggle/working/wandb/run-20260331_065527-jxzjz5r3</code>"
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       "<IPython.core.display.HTML object>"
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      "text/html": [
       "Syncing run <strong><a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/jxzjz5r3' target=\"_blank\">lgbm-baseline</a></strong> to <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility' target=\"_blank\">Weights & Biases</a> (<a href='https://wandb.me/developer-guide' target=\"_blank\">docs</a>)<br>"
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       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       " View project at <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility</a>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       " View run at <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/jxzjz5r3' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/jxzjz5r3</a>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[200]\tvalid_0's auc: 0.775678\n",
      "  Fold 1 | AUC: 0.77593 | Best iter: 169\n",
      "[200]\tvalid_0's auc: 0.784365\n",
      "  Fold 2 | AUC: 0.78506 | Best iter: 266\n",
      "[200]\tvalid_0's auc: 0.778904\n",
      "  Fold 3 | AUC: 0.77896 | Best iter: 206\n",
      "[200]\tvalid_0's auc: 0.784897\n",
      "  Fold 4 | AUC: 0.78566 | Best iter: 297\n",
      "[200]\tvalid_0's auc: 0.773547\n",
      "  Fold 5 | AUC: 0.77408 | Best iter: 227\n",
      "\n",
      "🏆 OOF AUC: 0.77992 ± 0.00470\n"
     ]
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
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     "data": {
      "text/html": [
       "<br>    <style><br>        .wandb-row {<br>            display: flex;<br>            flex-direction: row;<br>            flex-wrap: wrap;<br>            justify-content: flex-start;<br>            width: 100%;<br>        }<br>        .wandb-col {<br>            display: flex;<br>            flex-direction: column;<br>            flex-basis: 100%;<br>            flex: 1;<br>            padding: 10px;<br>        }<br>    </style><br><div class=\"wandb-row\"><div class=\"wandb-col\"><h3>Run history:</h3><br/><table class=\"wandb\"><tr><td>fold</td><td>▁▃▅▆█</td></tr><tr><td>fold_1_auc</td><td>▁</td></tr><tr><td>fold_2_auc</td><td>▁</td></tr><tr><td>fold_3_auc</td><td>▁</td></tr><tr><td>fold_4_auc</td><td>▁</td></tr><tr><td>fold_5_auc</td><td>▁</td></tr><tr><td>fold_std</td><td>▁</td></tr><tr><td>n_features</td><td>▁</td></tr><tr><td>n_train</td><td>▁</td></tr><tr><td>oof_auc</td><td>▁</td></tr></table><br/></div><div class=\"wandb-col\"><h3>Run summary:</h3><br/><table class=\"wandb\"><tr><td>fold</td><td>5</td></tr><tr><td>fold_1_auc</td><td>0.77593</td></tr><tr><td>fold_2_auc</td><td>0.78506</td></tr><tr><td>fold_3_auc</td><td>0.77896</td></tr><tr><td>fold_4_auc</td><td>0.78566</td></tr><tr><td>fold_5_auc</td><td>0.77408</td></tr><tr><td>fold_std</td><td>0.0047</td></tr><tr><td>n_features</td><td>234</td></tr><tr><td>n_train</td><td>307511</td></tr><tr><td>oof_auc</td><td>0.77992</td></tr></table><br/></div></div>"
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     "data": {
      "text/html": [
       " View run <strong style=\"color:#cdcd00\">lgbm-baseline</strong> at: <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/jxzjz5r3' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/jxzjz5r3</a><br> View project at: <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility</a><br>Synced 5 W&B file(s), 1 media file(s), 2 artifact file(s) and 0 other file(s)"
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     "data": {
      "text/html": [
       "Find logs at: <code>./wandb/run-20260331_065527-jxzjz5r3/logs</code>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
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     "metadata": {},
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    }
   ],
   "source": [
    "def run_lgbm_baseline(X, y, X_test, cfg, params=None):\n",
    "    \"\"\"5-fold CV LightGBM with W&B logging.\"\"\"\n",
    "    \n",
    "    run = wandb.init(\n",
    "        project=cfg.WANDB_PROJECT,\n",
    "        name=\"lgbm-baseline\",\n",
    "        config=params or {},\n",
    "        tags=[\"baseline\", \"lgbm\"]\n",
    "    )\n",
    "    \n",
    "    default_params = {\n",
    "        \"objective\":      \"binary\",\n",
    "        \"metric\":         \"auc\",\n",
    "        \"boosting_type\":  \"gbdt\",\n",
    "        \"num_leaves\":     127,\n",
    "        \"learning_rate\":  0.05,\n",
    "        \"feature_fraction\": 0.85,\n",
    "        \"bagging_fraction\": 0.85,\n",
    "        \"bagging_freq\":   5,\n",
    "        \"min_child_samples\": 20,\n",
    "        \"reg_alpha\":      0.1,\n",
    "        \"reg_lambda\":     0.1,\n",
    "        \"n_jobs\":         -1,\n",
    "        \"seed\":           cfg.SEED,\n",
    "        \"verbose\":        -1,\n",
    "    }\n",
    "    if params:\n",
    "        default_params.update(params)\n",
    "    \n",
    "    skf = StratifiedKFold(n_splits=cfg.N_FOLDS, shuffle=True, random_state=cfg.SEED)\n",
    "    oof_preds = np.zeros(len(X))\n",
    "    test_preds = np.zeros(len(X_test))\n",
    "    fold_scores = []\n",
    "    models = []\n",
    "    \n",
    "    for fold, (trn_idx, val_idx) in enumerate(skf.split(X, y)):\n",
    "        X_trn, X_val = X.iloc[trn_idx], X.iloc[val_idx]\n",
    "        y_trn, y_val = y.iloc[trn_idx], y.iloc[val_idx]\n",
    "        y_trn = y_trn.astype(np.float32)\n",
    "        y_val = y_val.astype(np.float32)\n",
    "        \n",
    "        #dtrain = lgb.Dataset(X_trn, label=y_trn)\n",
    "        #dval   = lgb.Dataset(X_val, label=y_val, reference=dtrain)\n",
    "        dtrain = lgb.Dataset(X_trn, label=np.asarray(y_trn, dtype=np.float32))\n",
    "        dval   = lgb.Dataset(X_val, label=np.asarray(y_val, dtype=np.float32), reference=dtrain)\n",
    "        \n",
    "        callbacks = [\n",
    "            lgb.early_stopping(cfg.EARLY_STOPPING, verbose=False),\n",
    "            lgb.log_evaluation(200),\n",
    "        ]\n",
    "        \n",
    "        model = lgb.train(\n",
    "            default_params,\n",
    "            dtrain,\n",
    "            num_boost_round=cfg.LGBM_N_ITER,\n",
    "            valid_sets=[dval],\n",
    "            callbacks=callbacks,\n",
    "        )\n",
    "        \n",
    "        oof_preds[val_idx] = model.predict(X_val, num_iteration=model.best_iteration)\n",
    "        test_preds += model.predict(X_test, num_iteration=model.best_iteration) / cfg.N_FOLDS\n",
    "        \n",
    "        score = roc_auc_score(y_val, oof_preds[val_idx])\n",
    "        fold_scores.append(score)\n",
    "        models.append(model)\n",
    "        \n",
    "        # W&B logging per fold\n",
    "        wandb.log({f\"fold_{fold+1}_auc\": score, \"fold\": fold+1})\n",
    "        print(f\"  Fold {fold+1} | AUC: {score:.5f} | Best iter: {model.best_iteration}\")\n",
    "    \n",
    "    oof_auc = roc_auc_score(y, oof_preds)\n",
    "    print(f\"\\n🏆 OOF AUC: {oof_auc:.5f} ± {np.std(fold_scores):.5f}\")\n",
    "    \n",
    "    # Log final metrics to W&B\n",
    "    wandb.log({\n",
    "        \"oof_auc\":      oof_auc,\n",
    "        \"fold_std\":     np.std(fold_scores),\n",
    "        \"n_features\":   X.shape[1],\n",
    "        \"n_train\":      len(X),\n",
    "    })\n",
    "    \n",
    "    # Feature importance\n",
    "    fi = pd.DataFrame({\n",
    "        \"feature\":    X.columns,\n",
    "        \"importance\": np.mean([m.feature_importance(\"gain\") for m in models], axis=0)\n",
    "    }).sort_values(\"importance\", ascending=False)\n",
    "    \n",
    "    # Log top-20 feature importance table\n",
    "    wandb.log({\"feature_importance\": wandb.Table(dataframe=fi.head(20))})\n",
    "    \n",
    "    run.finish()\n",
    "    return models, oof_preds, test_preds, oof_auc, fi\n",
    "\n",
    "print(\"🚀 Running LightGBM Baseline...\")\n",
    "lgbm_models, lgbm_oof, lgbm_test, lgbm_auc, feat_imp = run_lgbm_baseline(X, y, X_test_final, cfg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
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     "iopub.status.idle": "2026-03-31T08:22:31.888194Z",
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     "shell.execute_reply.started": "2026-03-31T07:01:16.708003Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🔍 Running Optuna HPO for LightGBM...\n",
      "   Trials: 80\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f4fe14eef0934216b5642fe14d852fb7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/80 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "1 warning generated.\n",
      "1 warning generated.\n",
      "1 warning generated.\n",
      "1 warning generated.\n",
      "1 warning generated.\n",
      "1 warning generated.\n",
      "1 warning generated.\n",
      "1 warning generated.\n",
      "1 warning generated.\n",
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      "1 warning generated.\n",
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      "1 warning generated.\n",
      "1 warning generated.\n",
      "1 warning generated.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "🏆 Best LightGBM AUC: 0.78515\n",
      "   Best params: {\n",
      "  \"boosting_type\": \"gbdt\",\n",
      "  \"num_leaves\": 112,\n",
      "  \"learning_rate\": 0.02273805573563183,\n",
      "  \"feature_fraction\": 0.7123738038749523,\n",
      "  \"bagging_fraction\": 0.8170784332632994,\n",
      "  \"bagging_freq\": 1,\n",
      "  \"min_child_samples\": 82,\n",
      "  \"reg_alpha\": 0.0002359137306347715,\n",
      "  \"reg_lambda\": 8.598737339212267,\n",
      "  \"max_depth\": 9,\n",
      "  \"min_gain_to_split\": 0.0993578407670862,\n",
      "  \"objective\": \"binary\",\n",
      "  \"metric\": \"auc\",\n",
      "  \"verbosity\": -1,\n",
      "  \"n_jobs\": -1,\n",
      "  \"seed\": 42\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "def objective_lgbm(trial, X, y, cfg):\n",
    "    params = {\n",
    "        \"objective\": \"binary\",\n",
    "        \"metric\": \"auc\",\n",
    "        \"verbosity\": -1,\n",
    "    \n",
    "        # 🔥 GPU SETTINGS\n",
    "        \"device\": \"gpu\",\n",
    "        \"gpu_platform_id\": 0,\n",
    "        \"gpu_device_id\": 0,\n",
    "    \n",
    "        # ⚡ Important for GPU stability\n",
    "        \"max_bin\": 255,\n",
    "        \"gpu_use_dp\": False,\n",
    "    \n",
    "        # Your search space\n",
    "        \"boosting_type\": trial.suggest_categorical(\"boosting_type\", [\"gbdt\", \"dart\"]),\n",
    "        \"num_leaves\": trial.suggest_int(\"num_leaves\", 31, 128),\n",
    "        \"learning_rate\": trial.suggest_float(\"learning_rate\", 0.01, 0.1, log=True),\n",
    "        \"feature_fraction\": trial.suggest_float(\"feature_fraction\", 0.6, 1.0),\n",
    "        \"bagging_fraction\": trial.suggest_float(\"bagging_fraction\", 0.6, 1.0),\n",
    "        \"bagging_freq\": trial.suggest_int(\"bagging_freq\", 1, 7),\n",
    "        \"min_child_samples\": trial.suggest_int(\"min_child_samples\", 5, 100),\n",
    "        \"reg_alpha\": trial.suggest_float(\"reg_alpha\", 1e-4, 10.0, log=True),\n",
    "        \"reg_lambda\": trial.suggest_float(\"reg_lambda\", 1e-4, 10.0, log=True),\n",
    "        \"max_depth\": trial.suggest_int(\"max_depth\", 4, 10),\n",
    "        \"min_gain_to_split\": trial.suggest_float(\"min_gain_to_split\", 0.0, 0.5),\n",
    "    \n",
    "        \"n_jobs\": -1,\n",
    "        \"seed\": cfg.SEED,\n",
    "    }\n",
    "    \n",
    "    params[\"force_col_wise\"] = True\n",
    "    skf = StratifiedKFold(n_splits=3, shuffle=True, random_state=cfg.SEED)\n",
    "    scores = []\n",
    "    \n",
    "    for trn_idx, val_idx in skf.split(X, y):\n",
    "        X_trn, X_val = X.iloc[trn_idx], X.iloc[val_idx]\n",
    "        y_trn, y_val = y.iloc[trn_idx], y.iloc[val_idx]\n",
    "\n",
    "\n",
    "        y_trn_np = np.asarray(y_trn, dtype=np.float32)\n",
    "        y_val_np = np.asarray(y_val, dtype=np.float32)\n",
    "        \n",
    "        dtrain = lgb.Dataset(X_trn, label=y_trn_np)\n",
    "        dval   = lgb.Dataset(X_val, label=y_val_np, reference=dtrain)\n",
    "\n",
    "\n",
    "        \n",
    "        #dtrain = lgb.Dataset(X_trn, label=y_trn)\n",
    "        #dval   = lgb.Dataset(X_val, label=y_val, reference=dtrain)\n",
    "        \n",
    "        pruning_cb = LightGBMPruningCallback(trial, \"auc\")\n",
    "        \n",
    "        model = lgb.train(\n",
    "            params, dtrain,\n",
    "            num_boost_round=1000,\n",
    "            valid_sets=[dval],\n",
    "            callbacks=[\n",
    "                lgb.early_stopping(50, verbose=False),\n",
    "                lgb.log_evaluation(-1),\n",
    "                pruning_cb,\n",
    "            ]\n",
    "        )\n",
    "        preds = model.predict(X_val, num_iteration=model.best_iteration)\n",
    "        scores.append(roc_auc_score(y_val, preds))\n",
    "    \n",
    "    return np.mean(scores)\n",
    "\n",
    "print(\"🔍 Running Optuna HPO for LightGBM...\")\n",
    "print(f\"   Trials: {cfg.OPTUNA_TRIALS}\")\n",
    "\n",
    "sampler  = optuna.samplers.TPESampler(seed=cfg.SEED)\n",
    "pruner   = optuna.pruners.MedianPruner(n_warmup_steps=10)\n",
    "study_lgbm = optuna.create_study(\n",
    "    direction=\"maximize\", sampler=sampler, pruner=pruner,\n",
    "    study_name=\"lgbm-credit-hpo\"\n",
    ")\n",
    "\n",
    "study_lgbm.optimize(\n",
    "    lambda trial: objective_lgbm(trial, X, y, cfg),\n",
    "    n_trials=cfg.OPTUNA_TRIALS,\n",
    "    show_progress_bar=True,\n",
    "    n_jobs=1,\n",
    ")\n",
    "\n",
    "best_lgbm_params = study_lgbm.best_params\n",
    "best_lgbm_params.update({\"objective\":\"binary\",\"metric\":\"auc\",\"verbosity\":-1,\"n_jobs\":-1,\"seed\":cfg.SEED})\n",
    "\n",
    "print(f\"\\n🏆 Best LightGBM AUC: {study_lgbm.best_value:.5f}\")\n",
    "print(f\"   Best params: {json.dumps(best_lgbm_params, indent=2)}\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T08:22:31.897300Z",
     "iopub.status.busy": "2026-03-31T08:22:31.896994Z",
     "iopub.status.idle": "2026-03-31T09:47:27.752108Z",
     "shell.execute_reply": "2026-03-31T09:47:27.751269Z",
     "shell.execute_reply.started": "2026-03-31T08:22:31.897277Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🔍 Running Optuna HPO for XGBoost...\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4d7733761caa4b96a7a2fcab750bce96",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/80 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "🏆 Best XGBoost AUC: 0.78596\n"
     ]
    }
   ],
   "source": [
    "def objective_xgb(trial, X, y, cfg):\n",
    "    params = {\n",
    "        \"objective\":          \"binary:logistic\",\n",
    "        \"tree_method\": \"hist\",\n",
    "        \"device\": \"cuda\",          # ✅ enables GPU\n",
    "        \"max_bin\": 256,            # ⚡ important for GPU speed\n",
    "        \"eval_metric\":        \"auc\",\n",
    "        \"tree_method\":        \"hist\",\n",
    "        \"use_label_encoder\":  False,\n",
    "        \"learning_rate\":      trial.suggest_float(\"learning_rate\", 0.01, 0.1, log=True),\n",
    "        \"max_depth\":          trial.suggest_int(\"max_depth\", 4, 10),\n",
    "        \"min_child_weight\":   trial.suggest_int(\"min_child_weight\", 1, 20),\n",
    "        \"subsample\":          trial.suggest_float(\"subsample\", 0.6, 1.0),\n",
    "        \"colsample_bytree\":   trial.suggest_float(\"colsample_bytree\", 0.5, 1.0),\n",
    "        \"gamma\":              trial.suggest_float(\"gamma\", 0.0, 2.0),\n",
    "        \"reg_alpha\":          trial.suggest_float(\"reg_alpha\", 1e-4, 10.0, log=True),\n",
    "        \"reg_lambda\":         trial.suggest_float(\"reg_lambda\", 1e-4, 10.0, log=True),\n",
    "        \"scale_pos_weight\":   trial.suggest_float(\"scale_pos_weight\", 1.0, 10.0),\n",
    "        \"seed\":               cfg.SEED,\n",
    "        \"n_jobs\":             -1,\n",
    "    }\n",
    "    \n",
    "    skf = StratifiedKFold(n_splits=3, shuffle=True, random_state=cfg.SEED)\n",
    "    scores = []\n",
    "    \n",
    "    for trn_idx, val_idx in skf.split(X, y):\n",
    "        X_trn, X_val = X.iloc[trn_idx], X.iloc[val_idx]\n",
    "        y_trn, y_val = y.iloc[trn_idx], y.iloc[val_idx]\n",
    "        \n",
    "        dtrain = xgb.DMatrix(X_trn, label=np.asarray(y_trn, dtype=np.float32))\n",
    "        dval   = xgb.DMatrix(X_val, label=np.asarray(y_val, dtype=np.float32))\n",
    "\n",
    "        \n",
    "        model = xgb.train(\n",
    "            params, dtrain,\n",
    "            num_boost_round=1000,\n",
    "            evals=[(dval, \"val\")],\n",
    "            early_stopping_rounds=50,\n",
    "            verbose_eval=False,\n",
    "        )\n",
    "        preds = model.predict(dval)\n",
    "        scores.append(roc_auc_score(y_val, preds))\n",
    "    \n",
    "    return np.mean(scores)\n",
    "\n",
    "print(\"🔍 Running Optuna HPO for XGBoost...\")\n",
    "study_xgb = optuna.create_study(\n",
    "    direction=\"maximize\",\n",
    "    sampler=optuna.samplers.TPESampler(seed=cfg.SEED),\n",
    "    study_name=\"xgb-credit-hpo\"\n",
    ")\n",
    "study_xgb.optimize(\n",
    "    lambda trial: objective_xgb(trial, X, y, cfg),\n",
    "    n_trials=cfg.OPTUNA_TRIALS,\n",
    "    show_progress_bar=True,\n",
    ")\n",
    "\n",
    "best_xgb_params = study_xgb.best_params\n",
    "best_xgb_params.update({\"objective\":\"binary:logistic\",\"eval_metric\":\"auc\",\"tree_method\":\"hist\",\"seed\":cfg.SEED,\"n_jobs\":-1})\n",
    "\n",
    "print(f\"\\n🏆 Best XGBoost AUC: {study_xgb.best_value:.5f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T09:47:27.753952Z",
     "iopub.status.busy": "2026-03-31T09:47:27.753642Z",
     "iopub.status.idle": "2026-03-31T09:58:27.544737Z",
     "shell.execute_reply": "2026-03-31T09:58:27.544142Z",
     "shell.execute_reply.started": "2026-03-31T09:47:27.753928Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [],
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       "<IPython.core.display.HTML object>"
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    {
     "data": {
      "text/html": [
       "Tracking run with wandb version 0.25.0"
      ],
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       "<IPython.core.display.HTML object>"
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     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "Run data is saved locally in <code>/kaggle/working/wandb/run-20260331_094728-v7xaa9j7</code>"
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       "Syncing run <strong><a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/v7xaa9j7' target=\"_blank\">ensemble-lgbm-xgb</a></strong> to <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility' target=\"_blank\">Weights & Biases</a> (<a href='https://wandb.me/developer-guide' target=\"_blank\">docs</a>)<br>"
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     "data": {
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       " View project at <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility</a>"
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     "data": {
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       " View run at <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/v7xaa9j7' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/v7xaa9j7</a>"
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       "<IPython.core.display.HTML object>"
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "🚀 Fold 1\n",
      "[100]\tvalid_0's auc: 0.765307\n",
      "[200]\tvalid_0's auc: 0.774084\n",
      "[300]\tvalid_0's auc: 0.777392\n",
      "[400]\tvalid_0's auc: 0.77907\n",
      "[500]\tvalid_0's auc: 0.780086\n",
      "[600]\tvalid_0's auc: 0.780793\n",
      "[700]\tvalid_0's auc: 0.781234\n",
      "[800]\tvalid_0's auc: 0.781458\n",
      "[900]\tvalid_0's auc: 0.781597\n",
      "  LGBM: 0.78174 | XGB: 0.78181\n",
      "\n",
      "🚀 Fold 2\n",
      "[100]\tvalid_0's auc: 0.773239\n",
      "[200]\tvalid_0's auc: 0.783192\n",
      "[300]\tvalid_0's auc: 0.786755\n",
      "[400]\tvalid_0's auc: 0.788592\n",
      "[500]\tvalid_0's auc: 0.78945\n",
      "[600]\tvalid_0's auc: 0.789662\n",
      "[700]\tvalid_0's auc: 0.789836\n",
      "[800]\tvalid_0's auc: 0.789936\n",
      "  LGBM: 0.79000 | XGB: 0.79209\n",
      "\n",
      "🚀 Fold 3\n",
      "[100]\tvalid_0's auc: 0.76562\n",
      "[200]\tvalid_0's auc: 0.774939\n",
      "[300]\tvalid_0's auc: 0.779674\n",
      "[400]\tvalid_0's auc: 0.7817\n",
      "[500]\tvalid_0's auc: 0.782736\n",
      "[600]\tvalid_0's auc: 0.78322\n",
      "[700]\tvalid_0's auc: 0.783531\n",
      "[800]\tvalid_0's auc: 0.783716\n",
      "[900]\tvalid_0's auc: 0.78377\n",
      "  LGBM: 0.78383 | XGB: 0.78411\n",
      "\n",
      "🚀 Fold 4\n",
      "[100]\tvalid_0's auc: 0.773374\n",
      "[200]\tvalid_0's auc: 0.782137\n",
      "[300]\tvalid_0's auc: 0.786103\n",
      "[400]\tvalid_0's auc: 0.78795\n",
      "[500]\tvalid_0's auc: 0.788917\n",
      "[600]\tvalid_0's auc: 0.789669\n",
      "[700]\tvalid_0's auc: 0.789976\n",
      "[800]\tvalid_0's auc: 0.790266\n",
      "[900]\tvalid_0's auc: 0.790474\n",
      "[1000]\tvalid_0's auc: 0.790344\n",
      "  LGBM: 0.79050 | XGB: 0.79068\n",
      "\n",
      "🚀 Fold 5\n",
      "[100]\tvalid_0's auc: 0.763112\n",
      "[200]\tvalid_0's auc: 0.773904\n",
      "[300]\tvalid_0's auc: 0.778297\n",
      "[400]\tvalid_0's auc: 0.780052\n",
      "[500]\tvalid_0's auc: 0.781518\n",
      "[600]\tvalid_0's auc: 0.782167\n",
      "[700]\tvalid_0's auc: 0.782807\n",
      "[800]\tvalid_0's auc: 0.782822\n",
      "[900]\tvalid_0's auc: 0.783009\n",
      "[1000]\tvalid_0's auc: 0.782948\n",
      "  LGBM: 0.78309 | XGB: 0.78362\n",
      "\n",
      "🔍 Optimizing blend weights...\n",
      "✅ Best weight → LGBM: 0.49, XGB: 0.51\n",
      "🏆 Best OOF AUC: 0.78731\n"
     ]
    },
    {
     "data": {
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       "<IPython.core.display.HTML object>"
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       "<br>    <style><br>        .wandb-row {<br>            display: flex;<br>            flex-direction: row;<br>            flex-wrap: wrap;<br>            justify-content: flex-start;<br>            width: 100%;<br>        }<br>        .wandb-col {<br>            display: flex;<br>            flex-direction: column;<br>            flex-basis: 100%;<br>            flex: 1;<br>            padding: 10px;<br>        }<br>    </style><br><div class=\"wandb-row\"><div class=\"wandb-col\"><h3>Run history:</h3><br/><table class=\"wandb\"><tr><td>final_oof_auc</td><td>▁</td></tr><tr><td>lgbm_weight</td><td>▁</td></tr><tr><td>xgb_weight</td><td>▁</td></tr></table><br/></div><div class=\"wandb-col\"><h3>Run summary:</h3><br/><table class=\"wandb\"><tr><td>final_oof_auc</td><td>0.78731</td></tr><tr><td>lgbm_weight</td><td>0.49</td></tr><tr><td>xgb_weight</td><td>0.51</td></tr></table><br/></div></div>"
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       " View run <strong style=\"color:#cdcd00\">ensemble-lgbm-xgb</strong> at: <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/v7xaa9j7' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/v7xaa9j7</a><br> View project at: <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility</a><br>Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)"
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       "Find logs at: <code>./wandb/run-20260331_094728-v7xaa9j7/logs</code>"
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   ],
   "source": [
    "def train_full_ensemble(X, y, X_test, lgbm_params, xgb_params, cfg):\n",
    "\n",
    "    lgbm_params.update({\n",
    "        \"device\": \"gpu\",\n",
    "        \"max_bin\": 255,\n",
    "        \"gpu_use_dp\": False,\n",
    "        \"force_col_wise\": True\n",
    "    })\n",
    "\n",
    "    xgb_params.update({\n",
    "        \"device\": \"cuda\",\n",
    "        \"tree_method\": \"hist\",\n",
    "        \"max_bin\": 256\n",
    "    })\n",
    "\n",
    "    run = wandb.init(\n",
    "        project=cfg.WANDB_PROJECT,\n",
    "        name=\"ensemble-lgbm-xgb\",\n",
    "        config={\"lgbm\": lgbm_params, \"xgb\": xgb_params, \"n_folds\": cfg.N_FOLDS},\n",
    "        tags=[\"ensemble\", \"final\"]\n",
    "    )\n",
    "\n",
    "    skf = StratifiedKFold(n_splits=cfg.N_FOLDS, shuffle=True, random_state=cfg.SEED)\n",
    "\n",
    "    oof_lgbm  = np.zeros(len(X))\n",
    "    oof_xgb   = np.zeros(len(X))\n",
    "    test_lgbm = np.zeros(len(X_test))\n",
    "    test_xgb  = np.zeros(len(X_test))\n",
    "\n",
    "    lgbm_models_list = []\n",
    "    xgb_models_list  = []\n",
    "\n",
    "    for fold, (trn_idx, val_idx) in enumerate(skf.split(X, y)):\n",
    "        print(f\"\\n🚀 Fold {fold+1}\")\n",
    "\n",
    "        X_trn, X_val = X.iloc[trn_idx], X.iloc[val_idx]\n",
    "        y_trn, y_val = y.iloc[trn_idx], y.iloc[val_idx]\n",
    "\n",
    "        y_trn_np = np.asarray(y_trn, dtype=np.float32)\n",
    "        y_val_np = np.asarray(y_val, dtype=np.float32)\n",
    "\n",
    "        dl_trn = lgb.Dataset(X_trn, label=y_trn_np)\n",
    "        dl_val = lgb.Dataset(X_val, label=y_val_np, reference=dl_trn)\n",
    "\n",
    "        lgb_model = lgb.train(\n",
    "            lgbm_params,\n",
    "            dl_trn,\n",
    "            num_boost_round=cfg.LGBM_N_ITER,\n",
    "            valid_sets=[dl_val],\n",
    "            callbacks=[\n",
    "                lgb.early_stopping(cfg.EARLY_STOPPING, verbose=False),\n",
    "                lgb.log_evaluation(100),\n",
    "            ]\n",
    "        )\n",
    "\n",
    "        lgb_val_pred = lgb_model.predict(X_val, num_iteration=lgb_model.best_iteration)\n",
    "        oof_lgbm[val_idx] = lgb_val_pred\n",
    "        test_lgbm += lgb_model.predict(X_test, num_iteration=lgb_model.best_iteration) / cfg.N_FOLDS\n",
    "        lgbm_models_list.append(lgb_model)\n",
    "\n",
    "        dx_trn = xgb.DMatrix(X_trn, label=y_trn_np)\n",
    "        dx_val = xgb.DMatrix(X_val, label=y_val_np)\n",
    "        dx_tst = xgb.DMatrix(X_test)\n",
    "\n",
    "        xgb_model = xgb.train(\n",
    "            xgb_params,\n",
    "            dx_trn,\n",
    "            num_boost_round=cfg.XGB_N_ITER,\n",
    "            evals=[(dx_val, \"val\")],\n",
    "            early_stopping_rounds=cfg.EARLY_STOPPING,\n",
    "            verbose_eval=False,\n",
    "        )\n",
    "\n",
    "        xgb_val_pred = xgb_model.predict(dx_val)\n",
    "        oof_xgb[val_idx] = xgb_val_pred\n",
    "        test_xgb += xgb_model.predict(dx_tst) / cfg.N_FOLDS\n",
    "        xgb_models_list.append(xgb_model)\n",
    "\n",
    "        # Fold metrics\n",
    "        auc_l = roc_auc_score(y_val, lgb_val_pred)\n",
    "        auc_x = roc_auc_score(y_val, xgb_val_pred)\n",
    "\n",
    "        print(f\"  LGBM: {auc_l:.5f} | XGB: {auc_x:.5f}\")\n",
    "\n",
    "\n",
    "    print(\"\\n🔍 Optimizing blend weights...\")\n",
    "\n",
    "    best_auc = 0\n",
    "    best_w = 0.5\n",
    "\n",
    "    for w in np.arange(0.0, 1.01, 0.01):\n",
    "        blend = w * oof_lgbm + (1 - w) * oof_xgb\n",
    "        auc = roc_auc_score(y, blend)\n",
    "\n",
    "        if auc > best_auc:\n",
    "            best_auc = auc\n",
    "            best_w = w\n",
    "\n",
    "    print(f\"✅ Best weight → LGBM: {best_w:.2f}, XGB: {1-best_w:.2f}\")\n",
    "    print(f\"🏆 Best OOF AUC: {best_auc:.5f}\")\n",
    "\n",
    "    oof_blend  = best_w * oof_lgbm + (1 - best_w) * oof_xgb\n",
    "    test_blend = best_w * test_lgbm + (1 - best_w) * test_xgb\n",
    "\n",
    "    wandb.log({\n",
    "        \"final_oof_auc\": best_auc,\n",
    "        \"lgbm_weight\": best_w,\n",
    "        \"xgb_weight\": 1 - best_w\n",
    "    })\n",
    "\n",
    "    run.finish()\n",
    "\n",
    "    return lgbm_models_list, xgb_models_list, oof_lgbm, oof_xgb, oof_blend, test_blend\n",
    "\n",
    "\n",
    "lgbm_models_final, xgb_models_final, oof_lgbm, oof_xgb, oof_blend, test_blend = train_full_ensemble(\n",
    "    X, y, X_test_final, best_lgbm_params, best_xgb_params, cfg\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T09:58:27.545786Z",
     "iopub.status.busy": "2026-03-31T09:58:27.545572Z",
     "iopub.status.idle": "2026-03-31T09:59:35.554158Z",
     "shell.execute_reply": "2026-03-31T09:59:35.552202Z",
     "shell.execute_reply.started": "2026-03-31T09:58:27.545763Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🔍 Computing SHAP values (TreeExplainer)...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2026-03-31 09:58:29.751318: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
      "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
      "E0000 00:00:1774951109.967057     177 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
      "E0000 00:00:1774951110.036118     177 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
      "W0000 00:00:1774951110.580200     177 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
      "W0000 00:00:1774951110.580228     177 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
      "W0000 00:00:1774951110.580231     177 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n",
      "W0000 00:00:1774951110.580234     177 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ SHAP values shape: (2000, 234)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1150 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x950 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x900 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ All SHAP plots saved\n"
     ]
    }
   ],
   "source": [
    "print(\"🔍 Computing SHAP values (TreeExplainer)...\")\n",
    "\n",
    "# Use the first fold's LightGBM model for SHAP analysis\n",
    "explainer = shap.TreeExplainer(lgbm_models_final[0])\n",
    "\n",
    "# Sample 2000 rows for speed\n",
    "sample_idx = np.random.choice(len(X), min(2000, len(X)), replace=False)\n",
    "X_sample   = X.iloc[sample_idx]\n",
    "shap_vals  = explainer.shap_values(X_sample)\n",
    "\n",
    "# For binary classification, lgbm returns list [neg_class, pos_class]\n",
    "if isinstance(shap_vals, list):\n",
    "    shap_vals = shap_vals[1]\n",
    "\n",
    "print(f\"✅ SHAP values shape: {shap_vals.shape}\")\n",
    "\n",
    "# ── 1. Beeswarm / Summary Plot ──────────────────────────────────────\n",
    "fig, ax = plt.subplots(figsize=(12, 10))\n",
    "shap.summary_plot(shap_vals, X_sample, plot_type=\"dot\", max_display=25, show=False)\n",
    "plt.title(\"SHAP Beeswarm — Feature Impact on Credit Risk\", fontsize=14, fontweight=\"bold\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(f\"{cfg.OUTPUT_DIR}/shap_beeswarm.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "\n",
    "# ── 2. Bar Plot (mean |SHAP|) ────────────────────────────────────────\n",
    "fig, ax = plt.subplots(figsize=(12, 8))\n",
    "shap.summary_plot(shap_vals, X_sample, plot_type=\"bar\", max_display=20, show=False)\n",
    "plt.title(\"Mean |SHAP| — Global Feature Importance\", fontsize=14, fontweight=\"bold\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(f\"{cfg.OUTPUT_DIR}/shap_bar.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "\n",
    "# ── 3. Dependence Plots for top 3 features ──────────────────────────\n",
    "top3_features = pd.DataFrame({\n",
    "    \"feature\": X.columns,\n",
    "    \"mean_shap\": np.abs(shap_vals).mean(0)\n",
    "}).nlargest(3, \"mean_shap\")[\"feature\"].tolist()\n",
    "\n",
    "fig, axes = plt.subplots(1, 3, figsize=(18, 5))\n",
    "for ax, feat in zip(axes, top3_features):\n",
    "    feat_idx = list(X.columns).index(feat)\n",
    "    shap.dependence_plot(feat_idx, shap_vals, X_sample, ax=ax, show=False)\n",
    "    ax.set_title(f\"SHAP Dependence: {feat}\", fontsize=10)\n",
    "plt.tight_layout()\n",
    "plt.savefig(f\"{cfg.OUTPUT_DIR}/shap_dependence.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "\n",
    "# ── 4. Waterfall for single applicant (most risky) ───────────────────\n",
    "most_risky_idx = np.argmax(oof_blend[sample_idx])\n",
    "expl_obj = shap.Explanation(\n",
    "    values     = shap_vals[most_risky_idx],\n",
    "    base_values= explainer.expected_value if not isinstance(explainer.expected_value, list) else explainer.expected_value[1],\n",
    "    data       = X_sample.iloc[most_risky_idx].values,\n",
    "    feature_names=X_sample.columns.tolist()\n",
    ")\n",
    "plt.figure(figsize=(14, 8))\n",
    "shap.plots.waterfall(expl_obj, max_display=15, show=False)\n",
    "plt.title(\"SHAP Waterfall — Most Risky Applicant\", fontsize=13, fontweight=\"bold\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(f\"{cfg.OUTPUT_DIR}/shap_waterfall.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "\n",
    "print(\"✅ All SHAP plots saved\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T10:05:17.376436Z",
     "iopub.status.busy": "2026-03-31T10:05:17.376103Z",
     "iopub.status.idle": "2026-03-31T10:06:40.278080Z",
     "shell.execute_reply": "2026-03-31T10:06:40.277360Z",
     "shell.execute_reply.started": "2026-03-31T10:05:17.376408Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📉 Simulating Concept Drift...\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "Finishing previous runs because reinit is set to 'default'."
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       " View run <strong style=\"color:#cdcd00\">concept-drift-simulation</strong> at: <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/cu87492i' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/cu87492i</a><br> View project at: <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility</a><br>Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "Find logs at: <code>./wandb/run-20260331_095935-cu87492i/logs</code>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "Tracking run with wandb version 0.25.0"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "Run data is saved locally in <code>/kaggle/working/wandb/run-20260331_100517-5stypwml</code>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "Syncing run <strong><a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/5stypwml' target=\"_blank\">concept-drift-simulation</a></strong> to <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility' target=\"_blank\">Weights & Biases</a> (<a href='https://wandb.me/developer-guide' target=\"_blank\">docs</a>)<br>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       " View project at <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility</a>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       " View run at <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/5stypwml' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/5stypwml</a>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Baseline AUC (no drift): 0.78798\n",
      "  Baseline (No Drift)                      | AUC: 0.87739 | Drop: -0.08941\n",
      "  Mild Income Shock (-30%)                 | AUC: 0.80334 | Drop: -0.01536\n",
      "  Severe Income Shock (-60%)               | AUC: 0.73259 | Drop: +0.05540\n",
      "  Mass Job Loss (20%)                      | AUC: 0.68183 | Drop: +0.10615\n",
      "  Full Economic Shock                      | AUC: 0.64217 | Drop: +0.14581\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<br>    <style><br>        .wandb-row {<br>            display: flex;<br>            flex-direction: row;<br>            flex-wrap: wrap;<br>            justify-content: flex-start;<br>            width: 100%;<br>        }<br>        .wandb-col {<br>            display: flex;<br>            flex-direction: column;<br>            flex-basis: 100%;<br>            flex: 1;<br>            padding: 10px;<br>        }<br>    </style><br><div class=\"wandb-row\"><div class=\"wandb-col\"><h3>Run history:</h3><br/><table class=\"wandb\"><tr><td>drifted_auc</td><td>█▆▄▂▁</td></tr></table><br/></div><div class=\"wandb-col\"><h3>Run summary:</h3><br/><table class=\"wandb\"><tr><td>drifted_auc</td><td>0.64217</td></tr><tr><td>scenario</td><td>Full Economic Shock</td></tr></table><br/></div></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       " View run <strong style=\"color:#cdcd00\">concept-drift-simulation</strong> at: <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/5stypwml' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/5stypwml</a><br> View project at: <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility</a><br>Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "Find logs at: <code>./wandb/run-20260331_100517-5stypwml/logs</code>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Drift simulation complete\n"
     ]
    }
   ],
   "source": [
    "print(\"📉 Simulating Concept Drift...\")\n",
    "\n",
    "run = wandb.init(\n",
    "    project=cfg.WANDB_PROJECT,\n",
    "    name=\"concept-drift-simulation\",\n",
    "    tags=[\"drift\", \"simulation\"]\n",
    ")\n",
    "\n",
    "# ── Get validation split (index-aligned with X, y) ────────────────────────────\n",
    "skf = StratifiedKFold(n_splits=2, shuffle=True, random_state=cfg.SEED)\n",
    "trn_idx, val_idx = list(skf.split(X, y))[0]\n",
    "\n",
    "y_val_drift = y.iloc[val_idx].values\n",
    "\n",
    "# Baseline AUC using ensemble OOF preds (already computed over full X)\n",
    "base_preds = oof_blend[val_idx]\n",
    "base_auc   = roc_auc_score(y_val_drift, base_preds)\n",
    "print(f\"  Baseline AUC (no drift): {base_auc:.5f}\")\n",
    "\n",
    "# Top-30 for identifying WHICH columns to perturb\n",
    "top30 = feat_imp.head(30)[\"feature\"].tolist()\n",
    "\n",
    "# Drift scenarios\n",
    "drift_scenarios = {\n",
    "    \"Baseline (No Drift)\":        {\"income_mult\": 1.0, \"emp_mask\": 0.0,  \"label_noise\": 0.0},\n",
    "    \"Mild Income Shock (-30%)\":   {\"income_mult\": 0.7, \"emp_mask\": 0.05, \"label_noise\": 0.02},\n",
    "    \"Severe Income Shock (-60%)\": {\"income_mult\": 0.4, \"emp_mask\": 0.15, \"label_noise\": 0.05},\n",
    "    \"Mass Job Loss (20%)\":        {\"income_mult\": 0.5, \"emp_mask\": 0.20, \"label_noise\": 0.08},\n",
    "    \"Full Economic Shock\":        {\"income_mult\": 0.3, \"emp_mask\": 0.35, \"label_noise\": 0.12},\n",
    "}\n",
    "\n",
    "drift_results = []\n",
    "\n",
    "for scenario_name, drift_cfg in drift_scenarios.items():\n",
    "    # ── Start from the FULL feature matrix (234 cols) ────────────────────────\n",
    "    X_drifted = X.iloc[val_idx].copy().reset_index(drop=True)   # shape: (n_val, 234)\n",
    "\n",
    "    # Apply income shock to relevant columns (wherever they exist in full matrix)\n",
    "    income_cols = [c for c in X_drifted.columns if c in\n",
    "                   [\"AMT_INCOME_TOTAL\", \"INCOME_PER_PERSON\", \"CREDIT_INCOME_RATIO\",\n",
    "                    \"ANNUITY_INCOME_RATIO\", \"EXT_CREDIT_RATIO\"]]\n",
    "    for col in income_cols:\n",
    "        X_drifted[col] *= drift_cfg[\"income_mult\"]\n",
    "\n",
    "    # Apply employment shock\n",
    "    emp_cols = [c for c in X_drifted.columns if \"EMPLOY\" in c or \"DAYS_EMPLOYED\" in c]\n",
    "    mask = np.random.random(len(X_drifted)) < drift_cfg[\"emp_mask\"]\n",
    "    for col in emp_cols:\n",
    "        X_drifted.loc[mask, col] = 0\n",
    "\n",
    "    # Label noise\n",
    "    y_noisy = y_val_drift.copy()\n",
    "    if drift_cfg[\"label_noise\"] > 0:\n",
    "        noise_n   = max(1, int(drift_cfg[\"label_noise\"] * len(y_noisy)))\n",
    "        noise_idx = np.random.choice(len(y_noisy), noise_n, replace=False)\n",
    "        y_noisy[noise_idx] = 1 - y_noisy[noise_idx]\n",
    "\n",
    "    # ── Predict with the full-feature model ──────────────────────────────────\n",
    "    drifted_preds = lgbm_models_final[0].predict(X_drifted)   # 234 cols ✅\n",
    "    drifted_auc   = roc_auc_score(y_noisy, drifted_preds)\n",
    "\n",
    "    drift_results.append({\n",
    "        \"scenario\":    scenario_name,\n",
    "        \"auc\":         drifted_auc,\n",
    "        \"auc_drop\":    base_auc - drifted_auc,\n",
    "        \"income_mult\": drift_cfg[\"income_mult\"],\n",
    "        \"emp_mask\":    drift_cfg[\"emp_mask\"],\n",
    "    })\n",
    "    wandb.log({\"scenario\": scenario_name, \"drifted_auc\": drifted_auc})\n",
    "    print(f\"  {scenario_name:40s} | AUC: {drifted_auc:.5f} | Drop: {base_auc - drifted_auc:+.5f}\")\n",
    "\n",
    "# ── Plots ─────────────────────────────────────────────────────────────────────\n",
    "drift_df = pd.DataFrame(drift_results)\n",
    "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n",
    "\n",
    "axes[0].bar(range(len(drift_df)), drift_df[\"auc\"],\n",
    "            color=[\"#2196F3\",\"#4CAF50\",\"#FF9800\",\"#F44336\",\"#9C27B0\"])\n",
    "axes[0].axhline(y=0.7, color=\"red\", linestyle=\"--\", label=\"Min Acceptable AUC\")\n",
    "axes[0].set_xticks(range(len(drift_df)))\n",
    "axes[0].set_xticklabels([s.split(\"(\")[0].strip() for s in drift_df[\"scenario\"]],\n",
    "                         rotation=20, ha=\"right\")\n",
    "axes[0].set_ylabel(\"AUC\")\n",
    "axes[0].set_title(\"Model Performance Under Drift Scenarios\")\n",
    "axes[0].legend()\n",
    "\n",
    "axes[1].plot(drift_df[\"income_mult\"], drift_df[\"auc\"],\n",
    "             \"o-\", color=\"#F44336\", linewidth=2, markersize=8)\n",
    "axes[1].set_xlabel(\"Income Multiplier (1.0 = no drift)\")\n",
    "axes[1].set_ylabel(\"AUC\")\n",
    "axes[1].set_title(\"AUC Degradation vs Income Shock\")\n",
    "axes[1].fill_between(drift_df[\"income_mult\"], drift_df[\"auc\"], 0.5,\n",
    "                      alpha=0.15, color=\"#F44336\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(f\"{cfg.OUTPUT_DIR}/drift_simulation.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "\n",
    "run.finish()\n",
    "print(\"✅ Drift simulation complete\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-31T10:06:40.279771Z",
     "iopub.status.busy": "2026-03-31T10:06:40.279493Z",
     "iopub.status.idle": "2026-03-31T10:08:53.440281Z",
     "shell.execute_reply": "2026-03-31T10:08:53.439412Z",
     "shell.execute_reply.started": "2026-03-31T10:06:40.279746Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🌊 Initialising River online learning pipeline...\n",
      "🔄 Streaming 307,511 samples...\n",
      "   Drift will be injected at sample 184,506\n",
      "  🚨 DRIFT DETECTED at sample 62,015 | Retrain #1 | Running AUC: 0.6419\n",
      "  🚨 DRIFT DETECTED at sample 67,519 | Retrain #2 | Running AUC: 0.6351\n",
      "  🚨 DRIFT DETECTED at sample 90,239 | Retrain #3 | Running AUC: 0.6315\n",
      "  🚨 DRIFT DETECTED at sample 93,791 | Retrain #4 | Running AUC: 0.6264\n",
      "  🚨 DRIFT DETECTED at sample 184,767 | Retrain #5 | Running AUC: 0.6289\n",
      "\n",
      "✅ Online learning complete in 131.6s\n",
      "   Final AUC: 0.63518\n",
      "   Total drift detections: 7\n",
      "   Total retrains: 7\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from river import (\n",
    "    drift as river_drift,\n",
    "    linear_model as river_lm,\n",
    "    preprocessing as river_pp,\n",
    "    metrics as river_metrics,\n",
    "    ensemble as river_ens,\n",
    "    tree as river_tree,\n",
    "    optim,\n",
    ")\n",
    "import time\n",
    "\n",
    "print(\"🌊 Initialising River online learning pipeline...\")\n",
    "\n",
    "# Build River pipeline: StandardScaler → Hoeffding Adaptive Tree\n",
    "river_pipeline = river_pp.StandardScaler() | river_tree.HoeffdingAdaptiveTreeClassifier(\n",
    "    grace_period=200,\n",
    "    delta=1e-5,\n",
    "    seed=cfg.SEED,\n",
    ")\n",
    "\n",
    "# ADWIN drift detector — detects distribution shifts in the error stream\n",
    "adwin = river_drift.ADWIN(delta=0.002)\n",
    "\n",
    "# Track metrics\n",
    "river_auc      = river_metrics.ROCAUC()\n",
    "drift_points   = []\n",
    "retrain_count  = 0\n",
    "running_errors = []\n",
    "\n",
    "# Simulate streaming with drift injection\n",
    "# Use top 30 features for speed\n",
    "X_stream = X[top30].fillna(0).reset_index(drop=True)\n",
    "y_stream = y.reset_index(drop=True)\n",
    "\n",
    "# Inject drift at 60% of the way through\n",
    "DRIFT_INJECT_AT = int(len(X_stream) * 0.6)\n",
    "DRIFT_DURATION  = 5000\n",
    "\n",
    "print(f\"🔄 Streaming {len(X_stream):,} samples...\")\n",
    "print(f\"   Drift will be injected at sample {DRIFT_INJECT_AT:,}\")\n",
    "\n",
    "start = time.time()\n",
    "\n",
    "for i, (xi, yi) in enumerate(stream.iter_pandas(X_stream, y_stream)):\n",
    "    # Inject concept drift\n",
    "    if DRIFT_INJECT_AT <= i < DRIFT_INJECT_AT + DRIFT_DURATION:\n",
    "        xi[\"AMT_INCOME_TOTAL\"] = xi.get(\"AMT_INCOME_TOTAL\", 0) * cfg.DRIFT_INCOME_MULTIPLIER\n",
    "        yi = 1 - yi if np.random.random() < 0.12 else yi  # label noise\n",
    "    \n",
    "    # Predict → update metric → learn\n",
    "    y_prob = river_pipeline.predict_proba_one(xi)\n",
    "    p1     = y_prob.get(1, 0.5)\n",
    "    river_auc.update(yi, p1)\n",
    "    \n",
    "    error = abs(yi - p1)\n",
    "    running_errors.append(error)\n",
    "    adwin.update(error)\n",
    "    \n",
    "    if adwin.drift_detected:\n",
    "        drift_points.append(i)\n",
    "        retrain_count += 1\n",
    "        # Reset learner on drift (warm-start)\n",
    "        river_pipeline = river_pp.StandardScaler() | river_tree.HoeffdingAdaptiveTreeClassifier(\n",
    "            grace_period=50,  # faster adaptation post-drift\n",
    "            delta=1e-5,\n",
    "            seed=cfg.SEED,\n",
    "        )\n",
    "        if retrain_count <= 5:\n",
    "            print(f\"  🚨 DRIFT DETECTED at sample {i:,} | Retrain #{retrain_count} | Running AUC: {river_auc.get():.4f}\")\n",
    "    \n",
    "    river_pipeline.learn_one(xi, yi)\n",
    "\n",
    "elapsed = time.time() - start\n",
    "print(f\"\\n✅ Online learning complete in {elapsed:.1f}s\")\n",
    "print(f\"   Final AUC: {river_auc.get():.5f}\")\n",
    "print(f\"   Total drift detections: {len(drift_points)}\")\n",
    "print(f\"   Total retrains: {retrain_count}\")\n",
    "\n",
    "# Plot error stream + drift points\n",
    "fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(14, 8))\n",
    "\n",
    "window = 500\n",
    "smoothed = pd.Series(running_errors).rolling(window).mean()\n",
    "ax1.plot(smoothed, color=\"#2196F3\", linewidth=1, label=f\"Error (rolling {window})\")\n",
    "for dp in drift_points:\n",
    "    ax1.axvline(dp, color=\"red\", linewidth=0.8, alpha=0.7)\n",
    "ax1.axvline(DRIFT_INJECT_AT, color=\"orange\", linewidth=2, linestyle=\"--\", label=\"Drift Injected\")\n",
    "ax1.set_title(\"ADWIN Drift Detection — Error Stream\", fontweight=\"bold\")\n",
    "ax1.set_xlabel(\"Sample\")\n",
    "ax1.set_ylabel(\"Prediction Error\")\n",
    "ax1.legend()\n",
    "\n",
    "# Cumulative drift detections\n",
    "ax2.step(drift_points, range(1, len(drift_points)+1), color=\"#F44336\", linewidth=2)\n",
    "ax2.axvline(DRIFT_INJECT_AT, color=\"orange\", linewidth=2, linestyle=\"--\", label=\"Drift Injected\")\n",
    "ax2.set_title(\"Cumulative Drift Detections\", fontweight=\"bold\")\n",
    "ax2.set_xlabel(\"Sample Index\")\n",
    "ax2.set_ylabel(\"Cumulative Detections\")\n",
    "ax2.legend()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(f\"{cfg.OUTPUT_DIR}/river_drift_detection.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
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    "execution": {
     "iopub.execute_input": "2026-03-31T10:08:53.442413Z",
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     "iopub.status.idle": "2026-03-31T10:09:02.075632Z",
     "shell.execute_reply": "2026-03-31T10:09:02.074726Z",
     "shell.execute_reply.started": "2026-03-31T10:08:53.442390Z"
    },
    "trusted": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Models saved to /kaggle/working/models\n",
      "✅ Submission saved: (48744, 2)\n",
      "   SK_ID_CURR    TARGET\n",
      "0      100001  0.035657\n",
      "1      100005  0.130696\n",
      "2      100013  0.026649\n",
      "3      100028  0.039660\n",
      "4      100038  0.137203\n"
     ]
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "Tracking run with wandb version 0.25.0"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "Run data is saved locally in <code>/kaggle/working/wandb/run-20260331_100854-yzjl5eoa</code>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "Syncing run <strong><a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/yzjl5eoa' target=\"_blank\">final-summary</a></strong> to <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility' target=\"_blank\">Weights & Biases</a> (<a href='https://wandb.me/developer-guide' target=\"_blank\">docs</a>)<br>"
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      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       " View project at <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility</a>"
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       "<IPython.core.display.HTML object>"
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     },
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     "data": {
      "text/html": [
       " View run at <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/yzjl5eoa' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/yzjl5eoa</a>"
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       "<IPython.core.display.HTML object>"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Saving files without folders. If you want to preserve subdirectories pass base_path to wandb.save, i.e. wandb.save(\"/mnt/folder/file.h5\", base_path=\"/mnt\")\n",
      "\u001b[34m\u001b[1mwandb\u001b[0m: \u001b[33mWARNING\u001b[0m Symlinked 1 file into the W&B run directory; call wandb.save again to sync new files.\n"
     ]
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<br>    <style><br>        .wandb-row {<br>            display: flex;<br>            flex-direction: row;<br>            flex-wrap: wrap;<br>            justify-content: flex-start;<br>            width: 100%;<br>        }<br>        .wandb-col {<br>            display: flex;<br>            flex-direction: column;<br>            flex-basis: 100%;<br>            flex: 1;<br>            padding: 10px;<br>        }<br>    </style><br><div class=\"wandb-row\"><div class=\"wandb-col\"><h3>Run history:</h3><br/><table class=\"wandb\"><tr><td>drift_detections</td><td>▁</td></tr><tr><td>ensemble_oof_auc</td><td>▁</td></tr><tr><td>lgbm_baseline_auc</td><td>▁</td></tr><tr><td>lgbm_optuna_best</td><td>▁</td></tr><tr><td>nlp_features</td><td>▁</td></tr><tr><td>total_features</td><td>▁</td></tr><tr><td>xgb_optuna_best</td><td>▁</td></tr></table><br/></div><div class=\"wandb-col\"><h3>Run summary:</h3><br/><table class=\"wandb\"><tr><td>drift_detections</td><td>7</td></tr><tr><td>ensemble_oof_auc</td><td>0.78731</td></tr><tr><td>lgbm_baseline_auc</td><td>0.77992</td></tr><tr><td>lgbm_optuna_best</td><td>0.78515</td></tr><tr><td>nlp_features</td><td>32</td></tr><tr><td>total_features</td><td>234</td></tr><tr><td>xgb_optuna_best</td><td>0.78596</td></tr></table><br/></div></div>"
      ],
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       "<IPython.core.display.HTML object>"
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      "text/html": [
       " View run <strong style=\"color:#cdcd00\">final-summary</strong> at: <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/yzjl5eoa' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility/runs/yzjl5eoa</a><br> View project at: <a href='https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility' target=\"_blank\">https://wandb.ai/suvradeep-iit-guwahati-/credit-invisibility</a><br>Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 1 other file(s)"
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     "metadata": {},
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    {
     "data": {
      "text/html": [
       "Find logs at: <code>./wandb/run-20260331_100854-yzjl5eoa/logs</code>"
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       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ All done. W&B summary logged.\n"
     ]
    }
   ],
   "source": [
    "import pickle, joblib\n",
    "\n",
    "# Save LightGBM models\n",
    "for i, model in enumerate(lgbm_models_final):\n",
    "    model.save_model(f\"{cfg.MODEL_DIR}/lgbm_fold_{i+1}.txt\")\n",
    "\n",
    "# Save XGBoost models\n",
    "for i, model in enumerate(xgb_models_final):\n",
    "    model.save_model(f\"{cfg.MODEL_DIR}/xgb_fold_{i+1}.json\")\n",
    "\n",
    "# Save PCA + config\n",
    "joblib.dump(pca, f\"{cfg.MODEL_DIR}/pca.pkl\")\n",
    "joblib.dump(scaler_drift, f\"{cfg.MODEL_DIR}/scaler.pkl\")\n",
    "\n",
    "# Save feature list\n",
    "with open(f\"{cfg.MODEL_DIR}/feature_cols.json\", \"w\") as f:\n",
    "    json.dump(FEATURE_COLS, f)\n",
    "\n",
    "print(f\"✅ Models saved to {cfg.MODEL_DIR}\")\n",
    "\n",
    "# Generate submission\n",
    "submission = pd.DataFrame({\n",
    "    \"SK_ID_CURR\": test[\"SK_ID_CURR\"],\n",
    "    \"TARGET\":     test_blend\n",
    "})\n",
    "submission.to_csv(f\"{cfg.OUTPUT_DIR}/submission_ensemble.csv\", index=False)\n",
    "print(f\"✅ Submission saved: {submission.shape}\")\n",
    "print(submission.head())\n",
    "\n",
    "# W&B — final summary run\n",
    "run = wandb.init(project=cfg.WANDB_PROJECT, name=\"final-summary\", tags=[\"summary\"])\n",
    "wandb.log({\n",
    "    \"lgbm_baseline_auc\":   lgbm_auc,\n",
    "    \"lgbm_optuna_best\":    study_lgbm.best_value,\n",
    "    \"xgb_optuna_best\":     study_xgb.best_value,\n",
    "    \"ensemble_oof_auc\":    roc_auc_score(y, oof_blend),\n",
    "    \"drift_detections\":    len(drift_points),\n",
    "    \"total_features\":      len(FEATURE_COLS),\n",
    "    \"nlp_features\":        cfg.NLP_DIM_REDUCTION,\n",
    "})\n",
    "wandb.save(f\"{cfg.OUTPUT_DIR}/submission_ensemble.csv\")\n",
    "run.finish()\n",
    "print(\"✅ All done. W&B summary logged.\")"
   ]
  },
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