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EVALUATION INDEX OBTAINING METHOD AND DEVICE

机译:评价指标的取得方法及装置

摘要

An evaluation index obtaining method and device. The method comprises: inputting samples to a classification model for classification training, and obtaining output data of the classification model (101); collecting probability distribution statistics about the output data to obtain a probability statistics result, wherein the probability statistics result comprises probability intervals as well as the actual number of positive samples and the actual number of negative samples in each probability interval (102); and calculating evaluation indexes of the classification model according to a threshold set and the probability statistics result (103). By collecting probability statistics about the output data of the classification model, and calculating the evaluation indexes on the basis of the obtained probability statistics result, the method and device resolve the problem of repeatedly scanning output data during a calculation process of evaluation indexes, and can improve the calculation efficiency of the evaluation indexes when the output data is large-scale data.
机译:评估指标获取方法及装置。该方法包括:将样本输入分类模型以进行分类训练,并获得分类模型的输出数据(101);收集关于所述输出数据的概率分布统计信息,以获得概率统计结果,所述概率统计结果包括概率间隔以及每个概率间隔内的正样本的实际数量和负样本的实际数量(102);根据阈值集和概率统计结果计算分类模型的评价指标(103)。通过收集关于分类模型的输出数据的概率统计,并根据获得的概率统计结果计算评价指标,该方法和装置解决了在评价指标的计算过程中重复扫描输出数据的问题。当输出数据为大规模数据时,提高了评价指标的计算效率。

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