validate_on_testdata.ipynb

{
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   "execution_count": 286,
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   "source": [
    "X_test = strat_test_set.drop('No-show', axis=1)\n",
    "y_test = strat_test_set['No-show'].copy()\n",
    "\n",
    "X_test_prepared = full_pipeline.transform(X_test)\n",
    "\n",
    "final_preds = final_model.predict(X_test_prepared)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.,  0.,  1., ...,  1.,  0.,  0.])"
      ]
     },
     "execution_count": 287,
     "metadata": {},
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   ],
   "source": [
    "np.rint(final_preds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.4274997545536382"
      ]
     },
     "execution_count": 288,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_mse = mean_squared_error(y_test, final_preds)\n",
    "final_rmse = np.sqrt(final_mse)\n",
    "final_rmse"
   ]
  }
 ],
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