{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9627b141",
   "metadata": {},
   "source": [
    "**Author:** Dr. Mallarapu  \n",
    "**Created:** 2026-07-27  \n",
    "**Course:** SEAS 8414 \u2014 Security Analytics\n",
    "\n",
    "---\n",
    "\n",
    "### Goal of this notebook\n",
    "\n",
    "Train and audit fraud detectors on a synthetic transaction corpus, comparing ranking quality against decisions at a threshold. The audit is the point: the headline score here does **not** survive it, and section 13 explains exactly which check missed and why.\n",
    "\n",
    "### What you will learn\n",
    "\n",
    "1. Read a majority-class baseline before trusting any accuracy figure.\n",
    "2. Find the strongest single feature, then test it by dropping it and refitting.\n",
    "3. Tell duplicate inflation apart from genuine signal.\n",
    "4. Report per-group recall, because the rare classes carry the risk.\n",
    "5. Separate ranking quality (AUC) from decision quality at a threshold.\n",
    "6. Recognise a **missingness shortcut**: when a loader fills absent values with a sentinel, a tree can split on *\"was this field even recorded?\"*. Meanwhile, a per-feature AUC audit sees nothing at all. This notebook contains a live example.\n",
    "\n",
    "### Where this connects to the course text\n",
    "\n",
    "The text builds a defence pipeline; this notebook trains a classifier and audits it. The links below are to specific chapter objectives that share an *analytic move*, not to matching subject matter.\n",
    "\n",
    "- **Chapter 4: Attack Graph Analytics** \u2014 Learning objective 5 (section 4.1) separates a **one-at-a-time** perturbation from the smallest perturbation that reverses a ranking, and warns the first **overstates stability**. Dropping only the top feature and refitting is exactly that weaker test, so read it as a floor.\n",
    "- **Chapter 11: Formal Protocol Verification** \u2014 Section **11.1.2**, titled *Proved, tested, and hoped*, asks you to separate exactly those three. (Chapter 11 lists its objectives in \u00a711.0, not \u00a711.1 as the other chapters do.) The ablation does that job here: it tests whether the headline survives.\n",
    "\n",
    "---\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a117577e",
   "metadata": {},
   "source": [
    "# Large-Scale Financial Transaction Fraud Detection\n",
    "### Model comparison + validity audit on Financial-Fraud (5M synthetic) (\u22651M records, via Kaggle)\n",
    "\n",
    "**Abstract:** A financial-fraud dataset of **5,000,000 transactions**, with rich behavioural features (amount, velocity, geo-anomaly and spending-deviation scores). This notebook analyses the **first 1,500,000** \u2014 the loader read cap. Every figure below describes that slice, whose fraud rate is ~2.26% versus ~3.59% across the full file. We compare four learners and audit the scores \u2014 with an explicit caveat about the dataset's synthetic provenance. **Result up front:** the audit passes, the headline does not. Section 13 shows, from the notebook's own printed figures, that the winning model's top feature carries no ranking signal at all. It also shows that the ablation removed a feature the model barely used. The reported grade A is therefore a statement about the audit's coverage rather than about the data.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69d62503",
   "metadata": {},
   "source": [
    "## 1. Research problem\n",
    "\n",
    "**Task:** Flag fraudulent transactions among a large majority of legitimate ones using behavioural and contextual features. Fraud is rare and adversarial; the analytical question is whether the engineered anomaly scores encode the label (a shortcut) or genuine behaviour."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f53bc82e",
   "metadata": {},
   "source": [
    "## 2. Literature review\n",
    "\n",
    "- **Dal Pozzolo et al. (2015)** \u2014 learning with imbalanced fraud data; probability calibration.\n",
    "- **Bahnsen et al. (2016)** \u2014 feature engineering for credit-card fraud detection.\n",
    "- **Sommer & Paxson (2010)** \u2014 closed-world evaluation caveats (apply to fraud ML too).\n",
    "\n",
    "**Related approaches and their known caveats** \u2014 drawn from the wider literature; these are **not** measurements reproduced on this exact corpus:\n",
    "\n",
    "| Reported approach | Known caveat |\n",
    "|---|---|\n",
    "| Gradient-boosted trees on engineered fraud features | engineered anomaly scores can leak the label |\n",
    "| Imbalanced-learning baselines | accuracy meaningless at <1% fraud |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22698b7c",
   "metadata": {},
   "source": [
    "## 3. Dataset provenance & honesty caveats\n",
    "\n",
    "| Property | Value |\n",
    "|---|---|\n",
    "| Source | Kaggle `aryan208/financial-transactions-dataset-for-fraud-detection` |\n",
    "| Rows | 5,000,000 in the full file; **1,500,000 analysed here** (leading rows, per the loader read cap). Base rates differ between the two: ~3.59% fraud overall vs ~2.26% in the analysed slice |\n",
    "| Label | `is_fraud` (bool); family `transaction_type` |\n",
    "| Access | Kaggle API token required |\n",
    "\n",
    "**Honestly \u2014 critical:** this is a **synthetic, community-generated** dataset with **no peer-reviewed origin**. It is a large-scale *methods sandbox*, not a validated benchmark; engineered columns like `geo_anomaly_score` may encode the label. Account IDs, IP, device hash, timestamp and `fraud_type` are dropped to prevent leakage; watch the ablation and single-feature audit especially closely here.\n",
    "\n",
    "**A second, subtler defect \u2014 and the one the audit below does not catch.** One field, `time_since_last_transaction`, is by construction only defined when a prior transaction exists. It is therefore legitimately absent for some rows. The loader's `X = ... .fillna(0.0)` converts every such absence into the sentinel value **0**. That single line changes the question the model can answer. If absence is associated with the label, then \"this field was never recorded\" becomes a label proxy. A tree can split that proxy out in one node. Section 10's per-feature ROC-AUC check is structurally incapable of seeing it. That is because ROC-AUC scores a column's *ordering*, and a sentinel need not sit at either end of that ordering. Section 13 works through the printed evidence that this is what happened here, and gives the one-line check that would settle it.\n",
    "\n",
    "### Before you run this: getting the data\n",
    "\n",
    "This notebook downloads its own data on the first run, then caches it. You do not fetch anything by hand.\n",
    "\n",
    "**Dataset:** Kaggle `aryan208/financial-transactions-dataset-for-fraud-detection` -> `/tmp/kg_financial-transactions-dataset-for-fraud-detection`. It is about **759 MB** on disk.\n",
    "\n",
    "**One-time setup.** Sign in at kaggle.com, open **Settings**, and under **API** choose **Create New Token**. Kaggle hands you a `kaggle.json` file. This notebook does *not* read that file. It reads a plain key file, so convert it once:\n",
    "\n",
    "```bash\n",
    "mkdir -p ~/.kaggle\n",
    "python3 -c \"import json;print(json.load(open('kaggle.json'))['key'],end='')\" > ~/.kaggle/access_token\n",
    "chmod 600 ~/.kaggle/access_token\n",
    "```\n",
    "\n",
    "Never paste the token into a cell, a commit, or a screenshot. If it leaks, revoke it from the same Settings page.\n",
    "\n",
    "**If the loader fails:**\n",
    "\n",
    "- `FileNotFoundError: ~/.kaggle/access_token` - you created `kaggle.json` but not the key file. Run the command above.\n",
    "- `401 Unauthorized` - the key is wrong, or a trailing newline crept in.\n",
    "- `403 Forbidden` - open the dataset page on Kaggle while signed in, accept its terms, then re-run the cell.\n",
    "\n",
    "The cache sits under `/tmp`, which macOS clears on reboot. To keep it, move the folder somewhere durable and symlink it back. Do **not** edit the path in the code cell below: that changes a code cell and invalidates the stored outputs you are reviewing."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e784956",
   "metadata": {},
   "source": [
    "## 4. Solution design\n",
    "\n",
    "The methodology is deliberately two-track. We *earn* a headline score with standard modelling, then *interrogate* it with a validity audit. Only a verdict that survives both is reported. The diagram below is the shape of every notebook in this series."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "449dd800",
   "metadata": {},
   "source": [
    "**Figure 4.1 \u2014 Solution design (methodology).**\n",
    "\n",
    "<img 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\" style=\"max-width:100%;height:auto;\" alt=\"Figure 4.1 \u2014 Solution design (methodology).\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52d5e57d",
   "metadata": {},
   "source": [
    "## 5. Implementation architecture\n",
    "\n",
    "Five stages \u2014 ingestion, preprocessing, modelling, evaluation, and a parallel validity-audit path \u2014 feed a single graded results ledger. Leakage defences (dropping label-derived and identifier columns) live in preprocessing, before any model sees the data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcc6c7fd",
   "metadata": {},
   "source": [
    "**Figure 5.1 \u2014 Implementation architecture.**\n",
    "\n",
    "<img 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style=\"max-width:100%;height:auto;\" alt=\"Figure 5.1 \u2014 Implementation architecture.\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fbe9104b",
   "metadata": {},
   "source": [
    "## 6. Data acquisition & preparation\n",
    "\n",
    "Every line below is commented so a student can re-run and modify each step. The cell ends by producing the standard analysis variables: `df`, `X` (clean numeric features), `y` (binary label), `feat` (feature names), and `family`. `family` is the per-group label used for the recall breakdown. It is an attack family on the intrusion corpora, but a transaction type, merchant category or malware category on the fraud/malware ones."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3ae19400",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import time, warnings; warnings.filterwarnings('ignore')   # keep output clean\n",
    "import numpy as np, pandas as pd                            # numerics + dataframes\n",
    "import matplotlib.pyplot as plt                             # static plots (embed in HTML+PDF)\n",
    "plt.rcParams['figure.dpi'] = 120                            # crisp figures\n",
    "RANDOM_STATE = 0                                            # single seed used everywhere\n",
    "np.random.seed(RANDOM_STATE)                                # reproducible sampling\n",
    "NEG_WORD, POS_WORD = 'benign', 'attack'                      # class names (overridden by some loaders)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "61906cbb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded 1,500,000 rows x 9 features; positive rate 0.0226\n"
     ]
    }
   ],
   "source": [
    "import os, glob\n",
    "# Kaggle auth: token read from ~/.kaggle/access_token (students supply their own).\n",
    "os.environ.setdefault('KAGGLE_KEY', open(os.path.expanduser('~/.kaggle/access_token')).read().strip())\n",
    "import kaggle; kaggle.api.authenticate()\n",
    "REF = 'aryan208/financial-transactions-dataset-for-fraud-detection'; DEST = '/tmp/kg_' + REF.split('/')[-1]\n",
    "if not os.path.exists(DEST):                                   # download + unzip once (cached)\n",
    "    kaggle.api.dataset_download_files(REF, path=DEST, unzip=True, quiet=True)\n",
    "NROWS = 1_500_000                                              # per-file read cap (memory bound)\n",
    "files = sorted(glob.glob(DEST + '/**/*.csv', recursive=True))\n",
    "df = pd.concat([pd.read_csv(f, low_memory=False, nrows=NROWS) for f in files], ignore_index=True)  # combine day/part files\n",
    "df.columns = [str(c).strip() for c in df.columns]             # strip header whitespace\n",
    "LABEL = 'is_fraud'; FAMILY = 'transaction_type'\n",
    "df['y'] = (df[LABEL].astype(str).str.strip().str.lower() != 'false').astype(int)  # benign=0\n",
    "df['family'] = df[FAMILY].astype(str).str.strip()             # descriptive attack family\n",
    "df = df.reset_index(drop=True)\n",
    "assert len(df) >= 1_000_000, f'floor not met: {len(df):,}'    # honesty gate: >= 1M rows\n",
    "DROP = list({LABEL, FAMILY, 'y', 'family'} | set(['transaction_id', 'sender_account', 'receiver_account', 'ip_address', 'device_hash', 'timestamp', 'fraud_type']))  # never leak label cols\n",
    "feat = [c for c in df.columns if c not in DROP]\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "X = df[feat].copy()\n",
    "idlike = [c for c in X.select_dtypes(include='object').columns if X[c].nunique() > 0.5*len(X)]\n",
    "X = X.drop(columns=idlike)                                     # drop ID/timestamp-like leaky columns\n",
    "for c in X.select_dtypes(include='object').columns:           # encode remaining categoricals\n",
    "    X[c] = LabelEncoder().fit_transform(X[c].astype(str))\n",
    "X = X.apply(pd.to_numeric, errors='coerce').replace([np.inf,-np.inf],np.nan).fillna(0.0)\n",
    "X = X.clip(-1e15, 1e15)                                        # clip huge NetFlow counts (float32-safe)\n",
    "X = X.loc[:, X.nunique() > 1]                                  # drop constants\n",
    "import re                                                      # LightGBM rejects special chars in names\n",
    "_seen, _cols = {}, []\n",
    "for _c in X.columns:                                           # sanitize to unique, safe names\n",
    "    _c = re.sub(r'[^0-9A-Za-z_]+', '_', str(_c)).strip('_') or 'f'\n",
    "    _seen[_c] = _seen.get(_c, -1) + 1\n",
    "    _cols.append(_c if _seen[_c] == 0 else f'{_c}_{_seen[_c]}')\n",
    "X.columns = _cols; feat = list(X.columns)\n",
    "y = df['y'].to_numpy()                                         # STANDARD CONTRACT\n",
    "NEG_WORD, POS_WORD = 'legitimate', 'fraud'               # class names for plots\n",
    "print(f'loaded {len(df):,} rows x {len(feat)} features; positive rate {y.mean():.4f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "854efc95",
   "metadata": {},
   "source": [
    "## 7. Exploratory data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a2241f91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1320x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- EDA 1: class balance and the attack-family mix ---\n",
    "fig, ax = plt.subplots(1, 2, figsize=(11, 4))\n",
    "df['y'].map({0:NEG_WORD,1:POS_WORD}).value_counts().plot.bar(               # counts per class\n",
    "    ax=ax[0], color=['#2a9d8f','#e76f51']); ax[0].set_yscale('log')\n",
    "ax[0].set_title(f'Class balance ({NEG_WORD} vs {POS_WORD})'); ax[0].set_ylabel('records (log)')\n",
    "df.loc[df.y==1,'family'].value_counts().head(8).plot.barh(                  # top attack families\n",
    "    ax=ax[1], color='#e76f51'); ax[1].invert_yaxis(); ax[1].set_title('Top attack families')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "67a37b5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- EDA 2: feature correlation + a 2-D PCA projection ---\n",
    "from sklearn.preprocessing import StandardScaler                 # scale before PCA\n",
    "from sklearn.decomposition import PCA\n",
    "fig, ax = plt.subplots(1, 2, figsize=(12, 5))\n",
    "topv = X[feat].var().sort_values().tail(12).index                # 12 highest-variance features\n",
    "im = ax[0].imshow(X[topv].corr(), cmap='coolwarm', vmin=-1, vmax=1)  # correlation heatmap\n",
    "ax[0].set_xticks(range(len(topv))); ax[0].set_xticklabels(topv, rotation=90, fontsize=7)\n",
    "ax[0].set_yticks(range(len(topv))); ax[0].set_yticklabels(topv, fontsize=7)\n",
    "ax[0].set_title('Feature correlation (top-variance)'); fig.colorbar(im, ax=ax[0], shrink=0.7)\n",
    "samp = X.sample(min(5000, len(X)), random_state=RANDOM_STATE)     # subsample for a fast PCA\n",
    "pc = PCA(n_components=2).fit_transform(StandardScaler().fit_transform(samp))\n",
    "ys = y[samp.index]                                               # aligned labels for coloring\n",
    "for lab,c in [(0,'#2a9d8f'),(1,'#e76f51')]:\n",
    "    ax[1].scatter(pc[ys==lab,0], pc[ys==lab,1], s=4, alpha=0.4, color=c,\n",
    "                  label={0:NEG_WORD,1:POS_WORD}[lab])\n",
    "ax[1].set_title('PCA projection (2 components)'); ax[1].legend(); ax[1].set_xlabel('PC1'); ax[1].set_ylabel('PC2')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c1a6c3f",
   "metadata": {},
   "source": [
    "## 8. Model comparison\n",
    "\n",
    "Four diverse learners share one held-out split, ranked by ROC-AUC.\n",
    "\n",
    "**Two honesty guards print with the table:**\n",
    "\n",
    "1. The models train on a *stratified subsample* of at most 120,000 rows. The full row count is printed above. So every score here is a subsample number, not a full-corpus claim.\n",
    "2. The **majority-class baseline accuracy** appears *inside* the ranking table. On imbalanced data, 0.99 accuracy can be worse than always guessing the majority class. Judge each model against that baseline, not against 0.5."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3dbe12ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "materialized 1,500,000 rows | trained on 120,000 (stratified subsample) | held-out 375,000\n",
      "MAJORITY-CLASS BASELINE accuracy = 0.9774  (any model must beat THIS, not 0.5, to be interesting)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best model: LightGBM\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>roc_auc</th>\n",
       "      <th>train_s</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LightGBM</td>\n",
       "      <td>0.977445</td>\n",
       "      <td>0.748990</td>\n",
       "      <td>1.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>XGBoost</td>\n",
       "      <td>0.977419</td>\n",
       "      <td>0.746834</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RandomForest</td>\n",
       "      <td>0.977448</td>\n",
       "      <td>0.725762</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.977448</td>\n",
       "      <td>0.501583</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MajorityBaseline</td>\n",
       "      <td>0.977400</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                model  accuracy   roc_auc  train_s\n",
       "0            LightGBM  0.977445  0.748990      1.1\n",
       "1             XGBoost  0.977419  0.746834      0.4\n",
       "2        RandomForest  0.977448  0.725762      0.7\n",
       "3  LogisticRegression  0.977448  0.501583      0.1\n",
       "4    MajorityBaseline  0.977400  0.500000      0.0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# --- Model comparison: four learners on the same held-out split ---\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import accuracy_score, roc_auc_score\n",
    "import xgboost as xgb, lightgbm as lgb\n",
    "\n",
    "# Stratified split keeps the class ratio in both halves.\n",
    "Xtr, Xte, ytr, yte = train_test_split(X, y, test_size=0.25, random_state=RANDOM_STATE, stratify=y)\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "N_MATERIALIZED = len(y)                                          # the full corpus we loaded (see printed count)\n",
    "# HONEST DISCLOSURE: we do NOT train on all N. We fit on a STRATIFIED subsample (<=120k) because\n",
    "# these learners saturate long before then on this data. Every headline below is a SUBSAMPLE\n",
    "# number, not a full-corpus number \u2014 saying otherwise would be the fabrication this course forbids.\n",
    "if len(Xtr) > 120_000:\n",
    "    Xtr, _, ytr, _ = train_test_split(Xtr, ytr, train_size=120_000, random_state=RANDOM_STATE,\n",
    "                                      stratify=ytr)               # genuinely stratified, not random\n",
    "MAJORITY_BASELINE = max(np.mean(yte), 1 - np.mean(yte))          # accuracy of 'always predict majority'\n",
    "print(f'materialized {N_MATERIALIZED:,} rows | trained on {len(Xtr):,} (stratified subsample) | '\n",
    "      f'held-out {len(yte):,}')\n",
    "print(f'MAJORITY-CLASS BASELINE accuracy = {MAJORITY_BASELINE:.4f}  '\n",
    "      f'(any model must beat THIS, not 0.5, to be interesting)')\n",
    "\n",
    "models = {                                                        # four standard, diverse learners\n",
    "    'LogisticRegression': make_pipeline(StandardScaler(), LogisticRegression(max_iter=300)),  # scaled!\n",
    "    'RandomForest': RandomForestClassifier(n_estimators=60, n_jobs=-1, random_state=RANDOM_STATE),\n",
    "    'XGBoost': xgb.XGBClassifier(n_estimators=80, max_depth=6, tree_method='hist', n_jobs=-1,\n",
    "                                 eval_metric='logloss', random_state=RANDOM_STATE),\n",
    "    'LightGBM': lgb.LGBMClassifier(n_estimators=80, n_jobs=-1, verbose=-1, random_state=RANDOM_STATE),\n",
    "}\n",
    "rows, fitted = [], {}\n",
    "for name, m in models.items():                                    # fit + score each model\n",
    "    t = time.perf_counter(); m.fit(Xtr, ytr); fitted[name] = m\n",
    "    p = m.predict_proba(Xte)[:, 1]                                # positive-class probability on held-out\n",
    "    rows.append({'model': name, 'accuracy': round(accuracy_score(yte, (p>0.5).astype(int)), 6),\n",
    "                 'roc_auc': round(roc_auc_score(yte, p), 6),      # 6 dp: a 1.000000 is a red flag, not a win\n",
    "                 'train_s': round(time.perf_counter()-t, 1)})\n",
    "rows.append({'model': 'MajorityBaseline', 'accuracy': round(MAJORITY_BASELINE, 4),\n",
    "             'roc_auc': 0.5, 'train_s': 0.0})            # show the baseline IN the ranking table\n",
    "comparison = pd.DataFrame(rows).sort_values('roc_auc', ascending=False).reset_index(drop=True)\n",
    "_ranked = comparison[comparison.model != 'MajorityBaseline']\n",
    "best_name = _ranked.iloc[0]['model']; best = fitted[best_name]  # winner by ROC-AUC (excl. baseline)\n",
    "print('best model:', best_name); comparison"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbdce356",
   "metadata": {},
   "source": [
    "## 9. Results\n",
    "\n",
    "Diagnostics for the winning model, including **per-group recall**.\n",
    "\n",
    "The grouping comes from whatever the loader put in `family`. It is *not* always an attack taxonomy. On the intrusion corpora it is the attack family. On the fraud and malware corpora it is a transaction type, a merchant category or a malware category. On binary corpora it collapses to the positive class.\n",
    "\n",
    "Read it accordingly. Where the groups are genuinely rare classes, they reveal whether detection is real. The dominant flood classes do not."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a4f0cbc2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1560x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "operational FALSE-POSITIVE RATE @0.5 = 0.0000  (1 benign flagged of 366,543)\n",
      "worst per-family recalls: {'payment': 0.0, 'transfer': 0.0, 'withdrawal': 0.0, 'deposit': 0.0}\n"
     ]
    }
   ],
   "source": [
    "# --- Results for the best model: confusion, ROC, PR, importances, per-family recall ---\n",
    "from sklearn.metrics import confusion_matrix, roc_curve, precision_recall_curve, recall_score\n",
    "pb = best.predict_proba(Xte)[:, 1]; pred = (pb > 0.5).astype(int)\n",
    "fig, ax = plt.subplots(1, 3, figsize=(15, 4))\n",
    "# (1) confusion matrix\n",
    "cm = confusion_matrix(yte, pred); ax[0].imshow(cm, cmap='Blues')\n",
    "ax[0].set_title(f'{best_name}: confusion'); ax[0].set_xticks([0,1]); ax[0].set_yticks([0,1])\n",
    "ax[0].set_xticklabels([NEG_WORD,POS_WORD]); ax[0].set_yticklabels([NEG_WORD,POS_WORD])\n",
    "for (i,j),v in np.ndenumerate(cm): ax[0].text(j,i,f'{v:,}',ha='center',va='center')\n",
    "# (2) ROC and PR curves\n",
    "fpr,tpr,_ = roc_curve(yte, pb); prec,rec,_ = precision_recall_curve(yte, pb)\n",
    "ax[1].plot(fpr,tpr,color='#264653'); ax[1].plot([0,1],[0,1],'--',c='grey')\n",
    "ax[1].set_title(f'ROC (AUC={roc_auc_score(yte,pb):.4f})'); ax[1].set_xlabel('FPR'); ax[1].set_ylabel('TPR')\n",
    "ax[2].plot(rec,prec,color='#e76f51'); ax[2].set_title('Precision-Recall'); ax[2].set_xlabel('recall'); ax[2].set_ylabel('precision')\n",
    "plt.tight_layout(); plt.show()\n",
    "\n",
    "# (3) feature importances + (4) per-attack-family recall\n",
    "fig, ax = plt.subplots(1, 2, figsize=(13, 5))\n",
    "imp, names = None, feat                                           # importances, robust to the scaled-LR pipeline\n",
    "if hasattr(best, 'feature_importances_'):                          # tree models\n",
    "    imp = best.feature_importances_; names = list(getattr(best, 'feature_names_in_', feat))[:len(imp)]\n",
    "elif hasattr(best, 'named_steps') and 'logisticregression' in getattr(best, 'named_steps', {}):\n",
    "    imp = np.abs(best.named_steps['logisticregression'].coef_[0]); names = feat  # LR pipeline\n",
    "elif hasattr(best, 'coef_'):\n",
    "    imp = np.abs(best.coef_[0]); names = feat\n",
    "if imp is not None:\n",
    "    pd.Series(imp, index=names[:len(imp)]).sort_values().tail(12).plot.barh(ax=ax[0], color='#264653')\n",
    "ax[0].set_title(f'{best_name}: top importances / |coef|')\n",
    "# Per-family recall, WORST-first so rare, hard classes are visible, not just the dominant floods.\n",
    "fam_te = df.loc[Xte.index, 'family']\n",
    "fr = {}\n",
    "for fam, cnt in fam_te[yte==1].value_counts().items():\n",
    "    if cnt < 5: continue                                          # need a few positives for a meaningful recall\n",
    "    mask = (fam_te==fam).to_numpy(); fr[fam] = recall_score(yte[mask], pred[mask], zero_division=0)\n",
    "srt = pd.Series(fr).sort_values()\n",
    "show = pd.concat([srt.head(9), srt.tail(3)]) if len(srt) > 12 else srt   # worst 9 + best 3\n",
    "show = show[~show.index.duplicated()]\n",
    "show.plot.barh(ax=ax[1], color=['#e76f51' if v < 0.5 else '#2a9d8f' for v in show]); ax[1].set_xlim(0,1)\n",
    "ax[1].set_title('Per-family recall (worst first; red < 0.5)')\n",
    "plt.tight_layout(); plt.show()\n",
    "# Operational numbers, not just figures: false-positive rate and the worst per-family recalls.\n",
    "tn, fp = int(cm[0,0]), int(cm[0,1])\n",
    "fpr_op = fp/(fp+tn) if (fp+tn) > 0 else float('nan')             # benign wrongly flagged @0.5\n",
    "print(f'operational FALSE-POSITIVE RATE @0.5 = {fpr_op:.4f}  ({fp:,} benign flagged of {fp+tn:,})')\n",
    "print('worst per-family recalls:', {k: round(v, 3) for k, v in srt.head(6).items()})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad216155",
   "metadata": {},
   "source": [
    "## 10. Validity audit \u2014 is the score real?\n",
    "\n",
    "Three diagnostics. **(a)** How well can the *single best feature*, alone, separate the classes? A near-1.0 single-feature AUC means that feature is *near-sufficient* \u2014 a shortcut (which may be legitimate signal or an artifact), not the same as target leakage. **(b)** The exact-duplicate row rate. **(c)** The **train/test exact-row contamination** \u2014 the fraction of held-out rows that are duplicates of training rows, which is what actually inflates a held-out score. The trust grade is the *worse* of the single-feature and contamination concerns.\n",
    "\n",
    "**Known blind spot \u2014 read the grade narrowly, and on this corpus do not accept it.** Diagnostic (a) is a **rank** statistic: it asks whether sorting rows by a column also sorts the label. It is therefore blind to signal that lives in a **split at one particular value** rather than in the ordering. That is not a hypothetical here, because the loader ends with `X.fillna(0.0)`. Every absent value becomes the sentinel 0, and a tree can carve that sentinel out even when the column's overall ordering carries nothing. So an A on this diagnostic means only *\"no column ranks the label\"* \u2014 never *\"no shortcut exists\"*.\n",
    "\n",
    "**The check the grade cannot do for you:** put the chart printed below next to the importance chart printed in section 9. Suppose the winning model's **top** feature sits near the **bottom** of the single-feature AUC chart. Then, whatever the model is using, this diagnostic is not measuring it. In that case the grade is uninformative rather than reassuring. Look at the two charts before reading section 11.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "be1f0f05",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best single-feature AUC = 0.5171  (feature: device_used)\n",
      "   note: a near-1.0 single-feature AUC means this feature is *near-sufficient* (a shortcut),\n",
      "   which may be legitimate signal OR an artifact \u2014 it is NOT the same as target leakage.\n",
      "exact-duplicate row rate (whole corpus) = 0.000\n",
      "TRAIN/TEST exact-row contamination       = 0.000  (single-feat grade A, contam grade A)\n",
      "==> data trust grade: A   (worse of the two; F = shortcut and/or heavy contamination)\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 960x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- Validity audit: is the score real detection, or a data shortcut? ---\n",
    "from sklearn.metrics import roc_auc_score\n",
    "samp = X.sample(min(60_000, len(X)), random_state=1); ysamp = y[samp.index]\n",
    "aucs = {}\n",
    "for c in feat:                                                    # AUC of EACH feature alone\n",
    "    col = samp[c].to_numpy(float)\n",
    "    if col.std()==0: continue\n",
    "    a = roc_auc_score(ysamp, col); aucs[c] = max(a, 1-a)          # direction-agnostic\n",
    "best_auc = max(aucs.values()); best_col = max(aucs, key=aucs.get)\n",
    "dup_rate = 1 - X.drop_duplicates().shape[0]/len(X)               # exact-duplicate feature rows (whole set)\n",
    "# The statistic that actually inflates a held-out score is TRAIN/TEST CONTAMINATION: how many test\n",
    "# rows are exact duplicates of a training row. Measure it directly on the split used above.\n",
    "_trkeys = set(map(tuple, np.round(Xtr.to_numpy(), 6)))\n",
    "_te = np.round(Xte.to_numpy(), 6)[:50_000]\n",
    "contam = float(np.mean([tuple(r) in _trkeys for r in _te]))      # fraction of test rows seen in train\n",
    "# Trust grade reflects BOTH failure modes and takes the WORSE of the two: a near-perfect single\n",
    "# feature (shortcut) OR heavy train/test contamination each independently invalidate the headline.\n",
    "_ga = 'F' if best_auc>=0.999 else 'D' if best_auc>=0.99 else 'C' if best_auc>=0.95 else 'B' if best_auc>=0.85 else 'A'\n",
    "_gc = 'F' if contam>=0.5 else 'D' if contam>=0.3 else 'C' if contam>=0.15 else 'B' if contam>=0.05 else 'A'\n",
    "grade = max(_ga, _gc)                                            # 'max' letter = worse grade (A best, F worst)\n",
    "print(f'best single-feature AUC = {best_auc:.4f}  (feature: {best_col})')\n",
    "print(f'   note: a near-1.0 single-feature AUC means this feature is *near-sufficient* (a shortcut),\\n'\n",
    "      f'   which may be legitimate signal OR an artifact \u2014 it is NOT the same as target leakage.')\n",
    "print(f'exact-duplicate row rate (whole corpus) = {dup_rate:.3f}')\n",
    "print(f'TRAIN/TEST exact-row contamination       = {contam:.3f}  (single-feat grade {_ga}, contam grade {_gc})')\n",
    "print(f'==> data trust grade: {grade}   (worse of the two; F = shortcut and/or heavy contamination)')\n",
    "s = pd.Series(aucs).sort_values().tail(15)\n",
    "fig, ax = plt.subplots(figsize=(8,5))\n",
    "s.plot.barh(ax=ax, color=['#e76f51' if v>=0.99 else '#457b9d' for v in s]); ax.axvline(0.5,ls='--',c='grey')\n",
    "ax.set_xlim(0.5,1.0); ax.set_title('Single-feature ROC-AUC (red = near-perfect shortcut)'); ax.set_xlabel('AUC alone')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42a390c6",
   "metadata": {},
   "source": [
    "## 11. Ablation \u2014 does the headline survive removing the artifacts?\n",
    "\n",
    "Narrating a shortcut is not enough. We *retrain the winning model* after (1) de-duplicating the corpus (removing the train/test contamination) and (2) dropping the single strongest feature. We report the held-out AUC each time.\n",
    "\n",
    "**Read the result honestly \u2014 a stable AUC has three different explanations, and you must tell them apart.** If the AUC **collapses**, the headline was a contamination/shortcut artifact. If it **barely moves**, then either:\n",
    "\n",
    "1. the classes really are separable by *many* redundant features \u2014 common on *simulated* corpora, and its own generation artifact rather than a vindication; or\n",
    "2. **the ablation dropped the wrong column.** The feature removed here is whichever one won diagnostic (a), and diagnostic (a) ranks by ROC-AUC. If the real shortcut is a split-based one that a rank statistic cannot see, this cell obediently deletes a feature the model hardly used. Then nothing moves, and the stability means nothing at all.\n",
    "\n",
    "Case 2 is what happens in this notebook. Before you read a flat ablation as good news, find the dropped feature in the section 9 importance chart. An ablation that perturbs the model's eighth-most-used feature has not tested the headline. The numbers below decide which story is true here, not the prose.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d5fabdbf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ablation \u2014 how much of the headline survives once each artifact is removed:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>setting</th>\n",
       "      <th>held_out_auc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>headline (as-is)</td>\n",
       "      <td>0.748990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>de-duplicated (0% rows removed)</td>\n",
       "      <td>0.748990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shortcut feature dropped (device_used)</td>\n",
       "      <td>0.748274</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  setting  held_out_auc\n",
       "0                        headline (as-is)      0.748990\n",
       "1         de-duplicated (0% rows removed)      0.748990\n",
       "2  shortcut feature dropped (device_used)      0.748274"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# --- Ablation: SHOW the inflation empirically, don't just narrate it ---\n",
    "from sklearn.base import clone\n",
    "def _retrain_auc(Xa, ya):                                        # re-split, stratified-subsample, refit best family\n",
    "    xtr, xte, ytr2, yte2 = train_test_split(Xa, ya, test_size=0.25, random_state=RANDOM_STATE, stratify=ya)\n",
    "    if len(xtr) > 120_000:\n",
    "        xtr, _, ytr2, _ = train_test_split(xtr, ytr2, train_size=120_000, random_state=RANDOM_STATE, stratify=ytr2)\n",
    "    m = clone(best); m.fit(xtr, ytr2)\n",
    "    return roc_auc_score(yte2, m.predict_proba(xte)[:, 1])\n",
    "base_auc = roc_auc_score(yte, best.predict_proba(Xte)[:, 1])     # (0) the headline held-out AUC\n",
    "Xdd = X.drop_duplicates(); ydd = y[Xdd.index]                    # (1) de-duplicated corpus\n",
    "auc_dedup = _retrain_auc(Xdd, ydd)\n",
    "auc_noshort = _retrain_auc(X.drop(columns=[best_col]), y) if best_col in X.columns else base_auc  # (2) drop shortcut\n",
    "ablation = pd.DataFrame([\n",
    "    {'setting': 'headline (as-is)',              'held_out_auc': round(base_auc, 6)},\n",
    "    {'setting': f'de-duplicated ({1-len(Xdd)/len(X):.0%} rows removed)', 'held_out_auc': round(auc_dedup, 6)},\n",
    "    {'setting': f'shortcut feature dropped ({best_col})', 'held_out_auc': round(auc_noshort, 6)},\n",
    "])\n",
    "print('Ablation \u2014 how much of the headline survives once each artifact is removed:')\n",
    "ablation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18492437",
   "metadata": {},
   "source": [
    "## 12. Reproducibility & robustness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "73234f47",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "seed=0 | numpy 2.3.5 | sklearn 1.9.0 | xgboost 1.6.2 | lightgbm 4.7.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LightGBM 3-fold CV ROC-AUC = 0.7459 +/- 0.0038  (mean +/- std across 3 stratified folds; a small std means a stable estimate on this split)\n"
     ]
    }
   ],
   "source": [
    "# --- Reproducibility & robustness ---\n",
    "import sklearn\n",
    "from sklearn.model_selection import StratifiedKFold, cross_val_score\n",
    "print(f'seed={RANDOM_STATE} | numpy {np.__version__} | sklearn {sklearn.__version__} | '\n",
    "      f'xgboost {xgb.__version__} | lightgbm {lgb.__version__}')\n",
    "# 3-fold cross-validated ROC-AUC of the winning model (fresh clone, bounded subsample) -> mean +/- std.\n",
    "from sklearn.base import clone\n",
    "cvX, cvy = Xtr.iloc[:40_000], ytr[:40_000]\n",
    "def _auc_scorer(est, Xv, yv):                                   # robust to xgboost's 2-col predict_proba\n",
    "    p = est.predict_proba(Xv)\n",
    "    p = p[:, 1] if getattr(p, 'ndim', 1) == 2 else p\n",
    "    return roc_auc_score(yv, p)\n",
    "try:\n",
    "    cv = cross_val_score(clone(best), cvX, cvy,\n",
    "                         cv=StratifiedKFold(3, shuffle=True, random_state=RANDOM_STATE),\n",
    "                         scoring=_auc_scorer, error_score='raise')\n",
    "    assert np.all(np.isfinite(cv)), 'non-finite CV folds'   # FAIL CLOSED: never narrate a NaN as evidence\n",
    "    print(f'{best_name} 3-fold CV ROC-AUC = {cv.mean():.4f} +/- {cv.std():.4f}  '\n",
    "          f'(mean +/- std across 3 stratified folds; a small std means a stable estimate on this split)')\n",
    "except Exception as e:\n",
    "    print(f'CV UNAVAILABLE ({type(e).__name__}: {str(e)[:60]}); rely on the single held-out AUC above \u2014 '\n",
    "          f'we do NOT report a CV number we could not compute')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ffb57de",
   "metadata": {},
   "source": [
    "## 13. Scientific conclusion\n",
    "\n",
    "**Verdict: INCONCLUSIVE.** Do not read the 0.748990 as fraud detection. The audit in section 10 returns grade **A**, and every arithmetic step producing that grade is correct. The grade is still not evidence that the headline is real, because the two failure modes it enumerates are not the failure mode this corpus contains. That gap \u2014 between an audit that passes and a result that holds \u2014 is the entire lesson of this notebook.\n",
    "\n",
    "### Validity ledger \u2014 the printed numbers\n",
    "\n",
    "- **Majority-class baseline accuracy 0.9774.** Every model lands on it: LightGBM 0.977445, XGBoost 0.977419, RandomForest and LogisticRegression 0.977448. The accuracy column carries no information whatsoever. For ROC-AUC the trivial baseline is 0.5, not that figure.\n",
    "- **Winning learner: LightGBM**, held-out ROC-AUC **0.748990**; 3-fold CV ROC-AUC **0.7459 +/- 0.0038**.\n",
    "- **Strongest single feature:** `device_used` at AUC **0.5171**. Every one of the nine features scores below 0.52 on its own.\n",
    "- **Exact-duplicate row rate 0.000**; **train/test exact-row overlap 0.000**. There is nothing to de-duplicate, so the de-duplication ablation returns the identical **0.748990** \u2014 that is a no-op, not a finding.\n",
    "- **Ablation, dropping `device_used`: 0.748990 \u2192 0.748274.**\n",
    "- **Data-trust grade A** (single-feature sub-check A, contamination sub-check A).\n",
    "- **Operational false-positive rate at threshold 0.5: 0.0000** \u2014 **1** benign transaction flagged out of **366,543**.\n",
    "- **Per-transaction-type recall, exactly as printed:** {`payment`: 0.0, `transfer`: 0.0, `withdrawal`: 0.0, `deposit`: 0.0}.\n",
    "\n",
    "### Why the tempting reading of that ledger is wrong\n",
    "\n",
    "The tempting reading is: no single feature is near-sufficient, dropping the strongest one changes almost nothing, so the separability must be genuine multi-feature behavioural signal. Three pieces of the notebook's own printed output refute it.\n",
    "\n",
    "1. **The ablation dropped a feature the model barely used.** It removes whichever feature wins diagnostic (a) \u2014 here `device_used`, which the section 9 importance chart ranks **eighth of nine** for the winning model. Moving from 0.748990 to 0.748274 after deleting the eighth-most-used feature is not a test of the headline; it is a measurement of how little that feature mattered.\n",
    "2. **The model's top feature has no ranking signal at all.** The section 9 importance chart puts `time_since_last_transaction` **first**. The section 10 chart puts that same column near the **bottom**, essentially on the 0.5 chance line. A column cannot be both the most-used feature and rank-uninformative unless the model is splitting it at a *specific value* rather than using its order. That is precisely the case diagnostic (a) is built not to see.\n",
    "3. **The spread across learners says the same thing.** LogisticRegression, which after scaling can only use each column monotonically, scores **0.501583** \u2014 a coin flip. The three split-based learners reach **0.725762** to **0.748990**. Signal that only split-based learners can reach, concentrated in a column whose ordering carries nothing, is the signature of a threshold artifact, not of behavioural fraud signal.\n",
    "\n",
    "### The most likely explanation \u2014 stated as a hypothesis this notebook does not test\n",
    "\n",
    "`time_since_last_transaction` is only defined when a prior transaction exists, so it is absent for some rows, and the loader's `X.fillna(0.0)` turns every absence into the sentinel 0. If absence is associated with the label, then *\"this field was never recorded\"* is a near-free label proxy. A tree finds it in one split, a rank statistic cannot see it, and the de-duplication and drop-`device_used` ablations both leave it completely untouched.\n",
    "\n",
    "**This notebook never measures that, so it is not reported as a result:** It is the check a student should run before trusting any number above:\n",
    "\n",
    "```python\n",
    "df.groupby('y')['time_since_last_transaction'].apply(lambda s: s.isna().mean())\n",
    "```\n",
    "\n",
    "If those two missingness rates differ sharply, then the 0.748990 is bookkeeping about which rows happened to have a recorded prior transaction rather than fraud detection. Note that the section 10 rubric would **still** return A even then. It grades one feature's AUC against fixed thresholds (0.85, 0.95, 0.99). An artifact therefore need only be worth about as much as the headline \u2014 nowhere near 1.0 \u2014 to pass straight through it. The question a validity audit should ask is not *whether any one feature is near-perfect*, but *whether any one artifact accounts for the whole headline*. The honest fix here is to drop the column. Better still, add an explicit `was_missing` indicator and re-run the whole audit against it. The shortcut then becomes a feature you can see instead of one hiding inside a fill value.\n",
    "\n",
    "### Corrected grade and the transferable lesson\n",
    "\n",
    "**Corrected data-trust grade: not established.** Grade A is an accurate statement about the two checks section 10 runs \u2014 no column *ranks* the label, and no held-out row duplicates a training row. Neither check covers sentinel-encoded missingness. \"The audit found nothing\" and \"there is nothing to find\" are different claims, and only the first is supported.\n",
    "\n",
    "The transferable lesson is about audit design, not about this dataset: **a validity audit is only ever as strong as the failure modes it enumerates.** A per-feature rank statistic is structurally blind to anything a tree accomplishes with a single split. An ablation that is *steered by* that rank statistic inherits the same blind spot. It will keep deleting the wrong column and keep reporting that nothing changed. Two checks agreeing is not corroboration when they share an assumption.\n",
    "\n",
    "### And none of this is a working detector in any case\n",
    "\n",
    "At threshold 0.5 the model flags **1** transaction out of **366,543** benign ones and achieves **0.0** recall on *every* transaction type. Its deployed behaviour is \"predict legitimate, always\" \u2014 which is exactly the 0.9774 baseline. Ranking quality and decision quality are different things; here both fail, and the per-group recall breakdown, not the aggregate AUC, is what makes that visible.\n",
    "\n",
    "### Disclosed limitations\n",
    "\n",
    "Categorical columns are integer-encoded before the split, so the encoder sees the test set's category values. The mapping never consults the label, so no *label* information leaks. The step is still transductive, and a deployed system would need an unseen-category bucket. On an all-numeric corpus that step is a no-op. Train/test overlap is measured on the first 50,000 held-out rows, so read it as a sampled estimate. Each ablation re-splits and refits, so small differences are re-split noise rather than effects \u2014 for scale, the winning model's own 3-fold CV spread is +/- 0.0038. The de-duplication variant keeps the first label when a feature vector appears twice. Models are fitted on a stratified subsample of 120,000 rows drawn from the 1,500,000 loaded, and scored on 375,000 held-out rows. The split is random, not temporal or entity-grouped, so every number above measures in-distribution separability only.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0056943",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "1. Dal Pozzolo, A. et al. (2015). Calibrating probability with undersampling for unbalanced classification. *IEEE SSCI*.\n",
    "2. Bahnsen, A.C. et al. (2016). Feature engineering strategies for credit card fraud detection. *Expert Systems with Applications*, 51.\n",
    "3. Sommer, R. & Paxson, V. (2010). Outside the Closed World. *IEEE S&P*."
   ]
  }
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