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   "id": "47153112-da26-4dbd-a32a-1abdd8bda4fa",
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    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2949/2949 [==============================] - 1s 462us/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",
    "\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)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bca76252-c90d-4343-8ff8-a665cd32cf26",
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   "outputs": [],
   "source": []
  }
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