import time
from sklearn.neural_network import MLPClassifier
from sklearn.metrics import classification_report, accuracy_score

def MLP(X_train, X_test, y_train, y_test):
  start_time = time.time()
  # 训练 MLP 分类器
  mlp = MLPClassifier(hidden_layer_sizes=(100,), max_iter=300, random_state=42)
  mlp.fit(X_train, y_train)
  y_pred = mlp.predict(X_test)
  end_time = time.time()
  # 打印训练时间
  print("Training Time:", end_time - start_time, "seconds")
  # 评估模型
  print("Accuracy:", accuracy_score(y_test, y_pred))
  print("Classification Report:")
  print(classification_report(y_test, y_pred))