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Python機器學習筆記(十四)：使用Scikit-Learn進行整體學習

KFold(n_splits=10, random_state=seed) cart = DecisionTreeClassifier() num_trees = 100 model = BaggingClassifier(base_estimator=cart, n_estimators=num_trees, ...

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