文件名称:EasyEnsemble
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EasyEnsemble and BalanceCascade are two class-imbalance learning methods. They can adaptively exploit the majority class examples, avoiding important majority class examples to be ignored by common under-sampling while maintaining the fast training speed of under-sampling.
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压缩包 : EasyEnsemble.rar 列表 EasyEnsemble\BalanceCascade\AdaBoost.m EasyEnsemble\BalanceCascade\AdjustFPRate.m EasyEnsemble\BalanceCascade\BalanceCascade.m EasyEnsemble\BalanceCascade\boost_data.m EasyEnsemble\BalanceCascade\CalculateAUC.m EasyEnsemble\BalanceCascade\CalculatePositives.m EasyEnsemble\BalanceCascade\EvaluateValue.m EasyEnsemble\BalanceCascade\example_BalanceCascade.m EasyEnsemble\BalanceCascade\haberman.mat EasyEnsemble\BalanceCascade\ImbalanceEvaluate.m EasyEnsemble\BalanceCascade\Predict.m EasyEnsemble\BalanceCascade EasyEnsemble\EasyEnsemble\AdaBoost.m EasyEnsemble\EasyEnsemble\boost_data.m EasyEnsemble\EasyEnsemble\CalculateAUC.m EasyEnsemble\EasyEnsemble\CalculatePositives.m EasyEnsemble\EasyEnsemble\EasyEnsemble.m EasyEnsemble\EasyEnsemble\EvaluateValue.m EasyEnsemble\EasyEnsemble\example_EasyEnsemble.m EasyEnsemble\EasyEnsemble\haberman.mat EasyEnsemble\EasyEnsemble\ImbalanceEvaluate.m EasyEnsemble\EasyEnsemble EasyEnsemble\EasyEnsemble.htm EasyEnsemble
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