FYSSTK-Project2/notebooks/21_logisitic-regression.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "122c67bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "from easynn.feedforward import FFNN, Layer, Regularization, LeakyReLU, Softmax, CrossEntropyLoss\n",
    "from easynn.schedulers import AdamScheduler\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b9c5b725",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"breast_cancer_regression_results.csv\")\n",
    "X = df.iloc[:, :-1].to_numpy()\n",
    "y = df.iloc[:, -1].to_numpy().reshape(-1, 1)\n",
    "encoder = OneHotEncoder(sparse_output=False)\n",
    "y_encoded = encoder.fit_transform(y)\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y_encoded, test_size=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "35e06abf",
   "metadata": {},
   "outputs": [],
   "source": [
    "logistic_model = FFNN([\n",
    "    Layer(30, 2, activation_function=Softmax()),\n",
    "], loss_fn=CrossEntropyLoss(), scheduler=AdamScheduler(learning_rate=5e-4, epochs=25000)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8a55a0c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "logistic_model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cd5a03ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f26628d6850>]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1350x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import plotting\n",
    "\n",
    "\n",
    "plt.plot(logistic_model.scheduler.loss_history)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "08c0b434",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = logistic_model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3492bd31",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import accuracy_score, roc_auc_score, confusion_matrix\n",
    "\n",
    "acc = accuracy_score(y_test.argmax(axis=1), y_pred.argmax(axis=1))\n",
    "auc = roc_auc_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "298b055a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.9473684210526315, 0.9910485933503836)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc, auc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "35cc8cc0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1350x900 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "cm = confusion_matrix(y_test.argmax(axis=1), y_pred.argmax(axis=1))\n",
    "\n",
    "sns.heatmap(cm, annot=True, fmt='d')\n",
    "plt.xlabel(\"Predicted Label\")\n",
    "plt.ylabel(\"True Label\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"logistic_classification_confusion_matrix.pdf\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "47e2c31e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "project2",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}