Section 4 introduces several performance measures for evaluating classifier algorithms in the presence of imbalanced data sets.

然后介绍了非平衡类数据下分类算法性能的评价措施。

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Experimental results on UCI data sets and dataset of brain glioma show that MIEE improves the classification performance and prediction ability on the imbalanced dataset.

在UCI数据集和大脑胶质瘤数据集上的实验结果表明新算法提高了分类器在不均衡数据集上的分类性能和预报能力。

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