对真实脑电数据的分类正确率达到89%。
The classification accuracy of experiment EEG signals reach 89%.
以分类正确率为指标检验了提取特征的性能。
The classification performance of extracted features was tested by an index called correct classification rate.
方法：以决策树分类器为工具，用分类正确率衡量辨证一致性。
Methods: the decision tree classifier is used as a tool and the rate of classification accuracy is used to measure the consistency.
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