rasbt--python-machine-learning-book
wehub-resource-sync
6 行
313 B
TeX
6 行
313 B
TeX
Learning with ensembles
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Implementing a simple majority vote classifier
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Combining different algorithms for classification with majority vote
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Evaluating and tuning the ensemble classifier
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Bagging – building an ensemble of classifiers from bootstrap samples
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Leveraging weak learners via adaptive boosting
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Summary |