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题目内容
（国家开放大学大数据预处理复习题）
请写出下方代码的功能
model_all = GradientBoostingClassifier(random_state=0)
model_all.fit(X=train_x, y=train_y)
feature_imp = pd.Series(model_all.feature_importances_,
index=train_x.columns)
var_tree = feature_imp.sort_values(ascending=False).head(8).index
print(feature_imp.sort_values(ascending=False))
print("\n结果为：\n%s" % var_tree.values)
model_all = GradientBoostingClassifier(random_state=0)
model_all.fit(X=train_x, y=train_y)
feature_imp = pd.Series(model_all.feature_importances_,
index=train_x.columns)
var_tree = feature_imp.sort_values(ascending=False).head(8).index
print(feature_imp.sort_values(ascending=False))
print("\n结果为：\n%s" % var_tree.values)
参考答案