notebooks/other/inputs_SleepEDF-ST.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dataset: **Sleep-EDF Expanded**  \n",
    "https://physionet.org/content/sleep-edfx/1.0.0/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# !pip install mne pyedflib seglearn tsfel tsfresh antropy plotly-resampler tsflex powershap --upgrade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "\n",
    "sys.path.append(\"../../src/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(42839, 366)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_feats = pd.read_parquet(\"../../features/sleep-edf__telemetry_features_ALL__90s.parquet\")\n",
    "df_feats.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sleep stage 2    19851\n",
       "Sleep stage R     8349\n",
       "Sleep stage W     4488\n",
       "Sleep stage 1     3653\n",
       "Sleep stage 3     3398\n",
       "Sleep stage 4     3017\n",
       "Movement time       83\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_feats[\"label\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 42839 entries, 1994-07-12 23:00:00 to 1994-09-16 07:44:00\n",
      "Columns: 366 entries, EEG Fpz-Cz__TotalAbsPow__w=1m30s_s=30s to patient_id\n",
      "dtypes: float32(363), object(3)\n",
      "memory usage: 60.6+ MB\n"
     ]
    }
   ],
   "source": [
    "df_feats.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(42839, 396)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sigs = list(set(c.split(\"__\")[0] for c in df_feats.columns))\n",
    "eeg_signals = [d for d in sigs if \"EEG\" in d]\n",
    "bands = [\"alpha\", \"beta\", \"sdelta\", \"fdelta\", \"sigma\", \"theta\"]\n",
    "for eeg_sig in eeg_signals:\n",
    "    eeg_bands = [c for c in df_feats.columns if c.startswith(eeg_sig) and c.split(\"__\")[1] in bands]\n",
    "    windows = sorted(set(b.split(\"__\")[-1] for b in eeg_bands))\n",
    "    for window in windows:\n",
    "        # Select the spectral powers\n",
    "        delta = df_feats[\"__\".join([eeg_sig, \"sdelta\", window])] + df_feats[\"__\".join([eeg_sig, \"fdelta\", window])]\n",
    "        fdelta_theta = df_feats[\"__\".join([eeg_sig, \"fdelta\", window])] + df_feats[\"__\".join([eeg_sig, \"theta\", window])]\n",
    "        alpha = df_feats[\"__\".join([eeg_sig, \"alpha\", window])]\n",
    "        beta = df_feats[\"__\".join([eeg_sig, \"beta\", window])]\n",
    "        theta = df_feats[\"__\".join([eeg_sig, \"theta\", window])]\n",
    "        sigma = df_feats[\"__\".join([eeg_sig, \"sigma\", window])]\n",
    "        # Calculate the ratios\n",
    "        df_feats[\"__\".join([eeg_sig, \"fdelta+theta\", window])] = fdelta_theta.astype(\"float32\")        \n",
    "\n",
    "        df_feats[\"__\".join([eeg_sig, \"alpha/theta\", window])] = (alpha / theta).astype(\"float32\")\n",
    "        df_feats[\"__\".join([eeg_sig, \"delta/beta\", window])] = (delta / beta).astype(\"float32\")\n",
    "        df_feats[\"__\".join([eeg_sig, \"delta/sigma\", window])] = (delta / sigma).astype(\"float32\")\n",
    "        df_feats[\"__\".join([eeg_sig, \"delta/theta\", window])] = (delta / theta).astype(\"float32\")\n",
    "df_feats.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "skip_cols = [\"psg_file\", \"label\", \"patient_id\"]\n",
    "feat_cols = [c for c in df_feats.columns if c not in skip_cols]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "131 131 131\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(42839, 1051)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add the 30s features from the minute before and the minute after the epoch (= current sample of 30s) to the epoch\n",
    "feats_30s = [f for f in df_feats.columns if \"w=30s\" in f]\n",
    "feats_60s = [f for f in df_feats.columns if \"w=1m_\" in f]\n",
    "feats_90s = [f for f in df_feats.columns if \"w=1m30s\" in f]\n",
    "print(len(feats_30s), len(feats_60s), len(feats_90s))\n",
    "dfs = []\n",
    "for psg_file in df_feats.psg_file.unique():\n",
    "    sub_df = df_feats[df_feats.psg_file == psg_file]\n",
    "\n",
    "    sub_df = sub_df.merge(\n",
    "        sub_df[feats_90s].shift(1).add_suffix(\"_shift=30s\"),\n",
    "        left_index=True,\n",
    "        right_index=True,\n",
    "    )\n",
    "    sub_df = sub_df.drop(columns=feats_90s)\n",
    "\n",
    "    sub_df = sub_df.merge(\n",
    "        sub_df[feats_60s].shift(1).add_suffix(\"_shift=30s\"),\n",
    "        left_index=True,\n",
    "        right_index=True,\n",
    "    )\n",
    "\n",
    "    sub_df = sub_df.merge(sub_df[feats_30s].shift(2).add_suffix(\"_shift=1m\"), left_index=True, right_index=True)\n",
    "    sub_df = sub_df.merge(sub_df[feats_30s].shift(1).add_suffix(\"_shift=30s\"), left_index=True, right_index=True)\n",
    "    sub_df = sub_df.merge(sub_df[feats_30s].shift(-1).add_suffix(\"_shift=-30s\"), left_index=True, right_index=True)\n",
    "    sub_df = sub_df.merge(sub_df[feats_30s].shift(-2).add_suffix(\"_shift=-1m\"), left_index=True, right_index=True)\n",
    "    dfs += [sub_df]\n",
    "df_feats = pd.concat(dfs)\n",
    "df_feats.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 42839 entries, 1994-07-12 23:00:00 to 1994-09-16 07:44:00\n",
      "Columns: 1051 entries, EEG Fpz-Cz__TotalAbsPow__w=1m_s=30s to EEG Fpz-Cz__delta/theta__w=30s_s=30s_shift=-1m\n",
      "dtypes: float32(1048), object(3)\n",
      "memory usage: 172.6+ MB\n"
     ]
    }
   ],
   "source": [
    "df_feats.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Postprocess labels\n",
    "df_feats.loc[df_feats[\"label\"] == \"Sleep stage 4\", \"label\"] = \"Sleep stage 3\"\n",
    "df_feats = df_feats[df_feats[\"label\"] != \"Movement time\"]\n",
    "df_feats = df_feats[df_feats[\"label\"] != \"Sleep stage ?\"]  # Label that is given when recording is done / end of the night\n",
    "\n",
    "df_feats = df_feats[~df_feats[\"label\"].isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(42756, 1051)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_feats.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1048"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skip_cols = [\"psg_file\", \"label\", \"patient_id\"]\n",
    "feat_cols = [c for c in df_feats.columns if c not in skip_cols]\n",
    "len(feat_cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "classes = [\n",
    "    'Sleep stage W',\n",
    "    'Sleep stage 1',\n",
    "    'Sleep stage 2',\n",
    "    'Sleep stage 3',\n",
    "    'Sleep stage R'\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# ML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.metrics import (\n",
    "    accuracy_score,\n",
    "    classification_report,\n",
    "    f1_score,\n",
    "    cohen_kappa_score,\n",
    "    log_loss,\n",
    ")\n",
    "from sklearn.model_selection import GroupKFold, StratifiedGroupKFold, cross_validate\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import QuantileTransformer\n",
    "\n",
    "from sklearn.linear_model import SGDClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from visualizations import plot_linear_classification_coefs\n",
    "from visualizations import plot_learning_curve\n",
    "from visualizations import plot_confusion_matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## The simple, linear pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Create pipeline\n",
    "pipe = Pipeline(\n",
    "    [\n",
    "        (\"impute\", SimpleImputer()),\n",
    "        (\"scale\", QuantileTransformer(n_quantiles=100, subsample=200_000, random_state=0)),\n",
    "        (\n",
    "            \"linear_model\",\n",
    "            SGDClassifier(\n",
    "                loss=\"log\",\n",
    "                average=True,\n",
    "                class_weight=\"balanced\",\n",
    "                n_jobs=5,\n",
    "                random_state=0,\n",
    "            ),\n",
    "        ),\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Grouped 22-fold results for all the data for varying inputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---------------------------------------- ['EEG'] ----------------------------------------\n",
      "nb. features = 592\n",
      "10-FOLD: TRAIN\n",
      "  MACRO F1:           0.8075\n",
      "  Balanced accuracy:  0.8134\n",
      "  Accuracy:           0.8454\n",
      "  Log loss:           0.6325\n",
      "10-FOLD: TEST\n",
      "  MACRO F1:           0.7444\n",
      "  Balanced accuracy:  0.7673\n",
      "  Accuracy:           0.8031\n",
      "  Log loss:           0.9078\n",
      "\n",
      "F1: 0.7581570179191433\n",
      "ACC: 0.8024370848535878\n",
      "KAPPA: 0.722717077565202\n",
      "LOG LOSS: 0.9102606738583787\n",
      "\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "Sleep stage 1       0.50      0.48      0.49      3856\n",
      "Sleep stage 2       0.83      0.87      0.85     19006\n",
      "Sleep stage 3       0.84      0.76      0.80      7096\n",
      "Sleep stage R       0.80      0.83      0.82      8093\n",
      "Sleep stage W       0.86      0.82      0.84      4705\n",
      "\n",
      "     accuracy                           0.80     42756\n",
      "    macro avg       0.77      0.75      0.76     42756\n",
      " weighted avg       0.80      0.80      0.80     42756\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------------- ['EEG', 'EOG'] ----------------------------------------\n",
      "nb. features = 848\n",
      "10-FOLD: TRAIN\n",
      "  MACRO F1:           0.8357\n",
      "  Balanced accuracy:  0.8403\n",
      "  Accuracy:           0.8655\n",
      "  Log loss:           0.6316\n",
      "10-FOLD: TEST\n",
      "  MACRO F1:           0.7741\n",
      "  Balanced accuracy:  0.7977\n",
      "  Accuracy:           0.8256\n",
      "  Log loss:           0.992\n",
      "\n",
      "F1: 0.7875482089872873\n",
      "ACC: 0.8254747871643746\n",
      "KAPPA: 0.7536410551929347\n",
      "LOG LOSS: 0.9934759749493883\n",
      "\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "Sleep stage 1       0.57      0.56      0.56      3738\n",
      "Sleep stage 2       0.85      0.87      0.86     19539\n",
      "Sleep stage 3       0.84      0.78      0.81      6890\n",
      "Sleep stage R       0.85      0.88      0.86      7980\n",
      "Sleep stage W       0.85      0.83      0.84      4609\n",
      "\n",
      "     accuracy                           0.83     42756\n",
      "    macro avg       0.79      0.78      0.79     42756\n",
      " weighted avg       0.82      0.83      0.82     42756\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------------- ['EEG', 'EMG'] ----------------------------------------\n",
      "nb. features = 792\n",
      "10-FOLD: TRAIN\n",
      "  MACRO F1:           0.8244\n",
      "  Balanced accuracy:  0.8307\n",
      "  Accuracy:           0.8577\n",
      "  Log loss:           0.6101\n",
      "10-FOLD: TEST\n",
      "  MACRO F1:           0.7634\n",
      "  Balanced accuracy:  0.7922\n",
      "  Accuracy:           0.816\n",
      "  Log loss:           0.9343\n",
      "\n",
      "F1: 0.7761449052258811\n",
      "ACC: 0.8159322668163532\n",
      "KAPPA: 0.7414684468446058\n",
      "LOG LOSS: 0.9364809555460304\n",
      "\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "Sleep stage 1       0.53      0.53      0.53      3658\n",
      "Sleep stage 2       0.83      0.87      0.85     18975\n",
      "Sleep stage 3       0.84      0.77      0.80      6983\n",
      "Sleep stage R       0.86      0.85      0.86      8477\n",
      "Sleep stage W       0.86      0.82      0.84      4663\n",
      "\n",
      "     accuracy                           0.82     42756\n",
      "    macro avg       0.78      0.77      0.78     42756\n",
      " weighted avg       0.82      0.82      0.82     42756\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for inputs in [[\"EEG\"], [\"EEG\", \"EOG\"], [\"EEG\", \"EMG\"]]:\n",
    "    print(\"--\" * 20, inputs, \"--\" * 20)\n",
    "\n",
    "    feats_input = [f for f in feat_cols if f.split(\" \")[0] in inputs]\n",
    "    print(\"nb. features =\", len(feats_input))\n",
    "\n",
    "    ## Cross-validation\n",
    "    # Total of 10 folds\n",
    "    gkfold = StratifiedGroupKFold(n_splits=22)\n",
    "    cv = gkfold.split(df_feats, df_feats[\"label\"], groups=df_feats.patient_id)\n",
    "\n",
    "    res = cross_validate(\n",
    "        pipe,\n",
    "        df_feats[feats_input],\n",
    "        df_feats[\"label\"],\n",
    "        scoring=[\"f1_macro\", \"balanced_accuracy\", \"accuracy\", \"neg_log_loss\"],\n",
    "        cv=cv,\n",
    "        n_jobs=25,\n",
    "        return_train_score=True,\n",
    "        return_estimator=True,\n",
    "    )\n",
    "\n",
    "    print(\"10-FOLD: TRAIN\")\n",
    "    print(\"  MACRO F1:          \", round(np.mean(res[\"train_f1_macro\"]), 4))\n",
    "    print(\"  Balanced accuracy: \", round(np.mean(res[\"train_balanced_accuracy\"]), 4))\n",
    "    print(\"  Accuracy:          \", round(np.mean(res[\"train_accuracy\"]), 4))\n",
    "    print(\"  Log loss:          \", round(np.mean(-1 * res[\"train_neg_log_loss\"]), 4))\n",
    "\n",
    "    print(\"10-FOLD: TEST\")\n",
    "    print(\"  MACRO F1:          \", round(np.mean(res[\"test_f1_macro\"]), 4))\n",
    "    print(\"  Balanced accuracy: \", round(np.mean(res[\"test_balanced_accuracy\"]), 4))\n",
    "    print(\"  Accuracy:          \", round(np.mean(res[\"test_accuracy\"]), 4))\n",
    "    print(\"  Log loss:          \", round(np.mean(-1 * res[\"test_neg_log_loss\"]), 4))\n",
    "\n",
    "    preds = []\n",
    "    preds_proba = []\n",
    "    y_trues = []\n",
    "    cv = gkfold.split(df_feats, df_feats[\"label\"], groups=df_feats.patient_id)\n",
    "    for fold_ix, (train_idx, test_idx) in enumerate(cv):\n",
    "        X_train = df_feats[feats_input].iloc[train_idx]\n",
    "        y_train = df_feats[\"label\"].iloc[train_idx]\n",
    "        X_test = df_feats[feats_input].iloc[test_idx]\n",
    "        y_test = df_feats[\"label\"].iloc[test_idx]\n",
    "        \n",
    "        estimator = res[\"estimator\"][fold_ix]\n",
    "        preds += [estimator.predict(X_test)]\n",
    "        preds_proba += [estimator.predict_proba(X_test)]\n",
    "        y_trues += [y_test]\n",
    "\n",
    "    preds = np.hstack(preds)\n",
    "    y_trues = np.hstack(y_trues)\n",
    "    preds_proba = np.vstack(preds_proba)\n",
    "\n",
    "    print()\n",
    "    print(\"F1:\", f1_score(preds, y_trues, average=\"macro\"))\n",
    "    print(\"ACC:\", accuracy_score(preds, y_trues))\n",
    "    print(\"KAPPA:\", cohen_kappa_score(preds, y_trues))\n",
    "    print(\"LOG LOSS:\", log_loss(y_trues, preds_proba))\n",
    "    print()\n",
    "\n",
    "    print(classification_report(preds, y_trues))\n",
    "\n",
    "    plt.figure(figsize=(25,12))\n",
    "    ax = plt.subplot(1,2,1)\n",
    "    plot_confusion_matrix(y_pred=preds, y_true=y_trues, classes=classes, normalize=False, ax=ax)\n",
    "    ax = plt.subplot(1,2,2)\n",
    "    plot_confusion_matrix(y_pred=preds, y_true=y_trues, classes=classes, normalize=True, ax=ax)\n",
    "    plt.show()\n",
    "\n",
    "    print(\"\\n\\n\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The simple, catboost pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Create pipeline\n",
    "from catboost import CatBoostClassifier\n",
    "pipe = CatBoostClassifier(verbose=0, depth=5, n_estimators=2_000, random_state=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Grouped 22-fold results for all the data for varying inputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---------------------------------------- ['EEG'] ----------------------------------------\n",
      "nb. features = 592\n",
      "10-FOLD: TRAIN\n",
      "  MACRO F1:           0.9215\n",
      "  Balanced accuracy:  0.9098\n",
      "  Accuracy:           0.9331\n",
      "  Log loss:           0.2059\n",
      "10-FOLD: TEST\n",
      "  MACRO F1:           0.7561\n",
      "  Balanced accuracy:  0.7652\n",
      "  Accuracy:           0.822\n",
      "  Log loss:           0.4861\n",
      "\n",
      "F1: 0.7711189413350354\n",
      "ACC: 0.8211479090653944\n",
      "KAPPA: 0.7435427175958901\n",
      "LOG LOSS: 0.4883839739241104\n",
      "\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "Sleep stage 1       0.46      0.54      0.50      3114\n",
      "Sleep stage 2       0.89      0.85      0.87     20896\n",
      "Sleep stage 3       0.79      0.82      0.80      6142\n",
      "Sleep stage R       0.81      0.85      0.83      8038\n",
      "Sleep stage W       0.86      0.85      0.86      4566\n",
      "\n",
      "     accuracy                           0.82     42756\n",
      "    macro avg       0.76      0.78      0.77     42756\n",
      " weighted avg       0.83      0.82      0.82     42756\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------------- ['EEG', 'EOG'] ----------------------------------------\n",
      "nb. features = 848\n",
      "10-FOLD: TRAIN\n",
      "  MACRO F1:           0.9292\n",
      "  Balanced accuracy:  0.9195\n",
      "  Accuracy:           0.9399\n",
      "  Log loss:           0.1844\n",
      "10-FOLD: TEST\n",
      "  MACRO F1:           0.775\n",
      "  Balanced accuracy:  0.7846\n",
      "  Accuracy:           0.8319\n",
      "  Log loss:           0.4536\n",
      "\n",
      "F1: 0.7891170597319259\n",
      "ACC: 0.8315791935634764\n",
      "KAPPA: 0.7579340403053128\n",
      "LOG LOSS: 0.4552656633290646\n",
      "\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "Sleep stage 1       0.52      0.61      0.56      3107\n",
      "Sleep stage 2       0.90      0.84      0.87     21145\n",
      "Sleep stage 3       0.78      0.81      0.79      6130\n",
      "Sleep stage R       0.84      0.89      0.86      7824\n",
      "Sleep stage W       0.87      0.85      0.86      4550\n",
      "\n",
      "     accuracy                           0.83     42756\n",
      "    macro avg       0.78      0.80      0.79     42756\n",
      " weighted avg       0.84      0.83      0.83     42756\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n",
      "---------------------------------------- ['EEG', 'EMG'] ----------------------------------------\n",
      "nb. features = 792\n",
      "10-FOLD: TRAIN\n",
      "  MACRO F1:           0.9309\n",
      "  Balanced accuracy:  0.9216\n",
      "  Accuracy:           0.9425\n",
      "  Log loss:           0.1815\n",
      "10-FOLD: TEST\n",
      "  MACRO F1:           0.7689\n",
      "  Balanced accuracy:  0.7798\n",
      "  Accuracy:           0.8291\n",
      "  Log loss:           0.4522\n",
      "\n",
      "F1: 0.7840467170079737\n",
      "ACC: 0.8285854616895875\n",
      "KAPPA: 0.7547040098903721\n",
      "LOG LOSS: 0.45358931618774784\n",
      "\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "Sleep stage 1       0.49      0.59      0.53      3015\n",
      "Sleep stage 2       0.88      0.85      0.87     20647\n",
      "Sleep stage 3       0.79      0.82      0.80      6170\n",
      "Sleep stage R       0.86      0.86      0.86      8325\n",
      "Sleep stage W       0.87      0.85      0.86      4599\n",
      "\n",
      "     accuracy                           0.83     42756\n",
      "    macro avg       0.78      0.79      0.78     42756\n",
      " weighted avg       0.84      0.83      0.83     42756\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for inputs in [[\"EEG\"], [\"EEG\", \"EOG\"], [\"EEG\", \"EMG\"]]:\n",
    "    print(\"--\" * 20, inputs, \"--\" * 20)\n",
    "\n",
    "    feats_input = [f for f in feat_cols if f.split(\" \")[0] in inputs]\n",
    "    print(\"nb. features =\", len(feats_input))\n",
    "\n",
    "    ## Cross-validation\n",
    "    # Total of 10 folds\n",
    "    gkfold = StratifiedGroupKFold(n_splits=22)\n",
    "    cv = gkfold.split(df_feats, df_feats[\"label\"], groups=df_feats.patient_id)\n",
    "\n",
    "    res = cross_validate(\n",
    "        pipe,\n",
    "        df_feats[feats_input],\n",
    "        df_feats[\"label\"],\n",
    "        scoring=[\"f1_macro\", \"balanced_accuracy\", \"accuracy\", \"neg_log_loss\"],\n",
    "        cv=cv,\n",
    "        n_jobs=25,\n",
    "        return_train_score=True,\n",
    "        return_estimator=True,\n",
    "    )\n",
    "\n",
    "    print(\"10-FOLD: TRAIN\")\n",
    "    print(\"  MACRO F1:          \", round(np.mean(res[\"train_f1_macro\"]), 4))\n",
    "    print(\"  Balanced accuracy: \", round(np.mean(res[\"train_balanced_accuracy\"]), 4))\n",
    "    print(\"  Accuracy:          \", round(np.mean(res[\"train_accuracy\"]), 4))\n",
    "    print(\"  Log loss:          \", round(np.mean(-1 * res[\"train_neg_log_loss\"]), 4))\n",
    "\n",
    "    print(\"10-FOLD: TEST\")\n",
    "    print(\"  MACRO F1:          \", round(np.mean(res[\"test_f1_macro\"]), 4))\n",
    "    print(\"  Balanced accuracy: \", round(np.mean(res[\"test_balanced_accuracy\"]), 4))\n",
    "    print(\"  Accuracy:          \", round(np.mean(res[\"test_accuracy\"]), 4))\n",
    "    print(\"  Log loss:          \", round(np.mean(-1 * res[\"test_neg_log_loss\"]), 4))\n",
    "\n",
    "    preds = []\n",
    "    preds_proba = []\n",
    "    y_trues = []\n",
    "    cv = gkfold.split(df_feats, df_feats[\"label\"], groups=df_feats.patient_id)\n",
    "    for fold_ix, (train_idx, test_idx) in enumerate(cv):\n",
    "        X_train = df_feats[feats_input].iloc[train_idx]\n",
    "        y_train = df_feats[\"label\"].iloc[train_idx]\n",
    "        X_test = df_feats[feats_input].iloc[test_idx]\n",
    "        y_test = df_feats[\"label\"].iloc[test_idx]\n",
    "        \n",
    "        estimator = res[\"estimator\"][fold_ix]\n",
    "        preds += [estimator.predict(X_test).ravel()]\n",
    "        preds_proba += [estimator.predict_proba(X_test)]\n",
    "        y_trues += [y_test]\n",
    "\n",
    "    preds = np.hstack(preds)\n",
    "    y_trues = np.hstack(y_trues)\n",
    "    preds_proba = np.vstack(preds_proba)\n",
    "\n",
    "    print()\n",
    "    print(\"F1:\", f1_score(preds, y_trues, average=\"macro\"))\n",
    "    print(\"ACC:\", accuracy_score(preds, y_trues))\n",
    "    print(\"KAPPA:\", cohen_kappa_score(preds, y_trues))\n",
    "    print(\"LOG LOSS:\", log_loss(y_trues, preds_proba))\n",
    "    print()\n",
    "\n",
    "    print(classification_report(preds, y_trues))\n",
    "\n",
    "    plt.figure(figsize=(25,12))\n",
    "    ax = plt.subplot(1,2,1)\n",
    "    plot_confusion_matrix(y_pred=preds, y_true=y_trues, classes=classes, normalize=False, ax=ax)\n",
    "    ax = plt.subplot(1,2,2)\n",
    "    plot_confusion_matrix(y_pred=preds, y_true=y_trues, classes=classes, normalize=True, ax=ax)\n",
    "    plt.show()\n",
    "\n",
    "    print(\"\\n\\n\\n\")"
   ]
  }
 ],
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