Classifier confusion across all sites based on manual evaluation.
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https://figshare.com/articles/dataset/Classifier_confusion_across_all_sites_based_on_manual_evaluation_/5679475
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资源简介:
Rows indicate automatic classifications and columns indicate manual classifications, for a manually verified subset of 1000 test summary nodes across five sites. Values represent the number of instances of each combination. Values on the diagonal indicate cases of agreement between the two classification methods. “Unk” labels represent test click types that were labeled as unknown because match confidence was low (automatic classification) or because they did not clearly match a template cluster (manual classification).
该数据集面向覆盖五个站点的1000个经人工验证的测试摘要节点子集,其中行代表自动分类结果,列代表人工分类结果。单元格内的数值表示每一种分类组合对应的实例总数。位于对角线上的数值代表两种分类方法结果一致的样本案例。"Unk(Unknown)"标签指代两类场景下被标记为未知的测试点击类型:自动分类场景中因匹配置信度过低,或人工分类场景中因无法明确匹配至模板簇。
创建时间:
2017-12-08



