遇见数据集

Difference classification results for HMM, GNB and null models.

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Figshare2021-03-11 更新2026-04-28 收录
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The values in each cell represent the metric indicated by the column header. Precision, Recall and F1 score are computed using a macro average with uniform weights for each class. The values in parenthesis indicate the p-values associated with the random and mode null models respectively. When p

各单元格内的数值对应列标题标注的评估指标。精准率(Precision)、召回率(Recall)及F1分数(F1 score)均采用宏平均(macro average)计算,且为每个类别赋予均等权重。括号内的数值分别对应随机虚无模型(random null model)与众数虚无模型(mode null model)的p值(p-value)。当p

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2021-03-11
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