输出结果

设计思路

核心代码

seed = 7

test_size = 0.33

X_train_part, X_validate, y_train_part, y_validate = train_test_split(X_train, y_train,  

                                                                     test_size=test_size,random_state=seed)

validare_preds = bst.predict(X_validate)

train_accuracy = accuracy_score(y_validate, validate_predictions)

print ("【max_depth=3】Validation Accuary: %.2f%%" % (train_accuracy * 100.0))