Python/机器学习 : Can I combine several prediction models into one

Question

我正在研究一个预测模型，最初使用的是随机森林算法。我想将不同的预测算法结合起来以提高我的准确性。

我尝试了这个，但出现错误:

models = [RandomForestClassifier(n_estimators=200), GradientBoostingClassifier(n_estimators=100)]
%time cross_val_score(models, X2, Y_target).mean()

错误:

estimator should a be an estimator implementing 'fit' method

有办法做到这一点吗？ (有没有比装袋更简单的方法？)

Answer 1

使用VotingClassifier 。

The idea behind the voting classifier implementation is to combine conceptually different machine learning classifiers and use a majority vote or the average predicted probabilities (soft vote) to predict the class labels.