{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": [
    "import pandas as pd\n",
    "data=pd.read_csv('5_test_classification.csv')\n",
    "X = data.drop(columns='Y', inplace=False)\n",
    "Y = data.get('Y')\n",
    "# 数据预处理，将原始数据标准化\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "scaler = StandardScaler()\n",
    "scaler.fit(X)\n",
    "X_std = scaler.transform(X)\n",
    "# 读取模型\n",
    "import joblib\n",
    "model = joblib.load('mlp_classification.pkl')\n",
    "# accuracy\n",
    "from sklearn.metrics import accuracy_score\n",
    "y_pred = model.predict(X_std)\n",
    "print('Accuracy: %.2f' % accuracy_score(Y, y_pred))"
   ]
  }
 ],
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