diff --git a/predict.ipynb b/predict.ipynb
deleted file mode 100644
index 5e0532d..0000000
--- a/predict.ipynb
+++ /dev/null
@@ -1,84 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "47153112-da26-4dbd-a32a-1abdd8bda4fa",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2949/2949 [==============================] - 2s 498us/step\n"
-     ]
-    }
-   ],
-   "source": [
-    "import tensorflow as tf\n",
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "import sklearn\n",
-    "import sklearn.model_selection\n",
-    "from tensorflow.keras.models import load_model\n",
-    "from sklearn.metrics import accuracy_score, precision_score, f1_score\n",
-    "\n",
-    "feature_cols = ['year', 'mileage', 'vol_engine']\n",
-    "\n",
-    "model = load_model('model.h5')\n",
-    "test_data = pd.read_csv('test.csv')\n",
-    "\n",
-    "predictions = model.predict(test_data[feature_cols])\n",
-    "predicted_prices = [p[0] for p in predictions]\n",
-    "\n",
-    "\n",
-    "results = pd.DataFrame({'id': test_data['id'], 'year': test_data['year'], 'mileage': test_data['mileage'], 'vol_engine': test_data['vol_engine'], 'predicted_price': predicted_prices})\n",
-    "results.to_csv('predictions.csv', index=False)\n",
-    "\n",
-    "y_true = test_data['price']\n",
-    "y_pred = y_pred = [round(p[0]) for p in predictions]\n",
-    "\n",
-    "accuracy = accuracy_score(y_true, y_pred)\n",
-    "precision = precision_score(y_true, y_pred, average='micro')\n",
-    "f1 = f1_score(y_true, y_pred, average='micro')\n",
-    "\n",
-    "with open('metrics.txt', 'w') as f:\n",
-    "    f.write(f\"Accuracy: {accuracy:.4f}\\n\")\n",
-    "    f.write(f\"Micro-average Precision: {precision:.4f}\\n\")\n",
-    "    f.write(f\"Micro-average F1-score: {f1:.4f}\\n\")\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "bca76252-c90d-4343-8ff8-a665cd32cf26",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "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": "3.11.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}