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Classification table output to assess the effectiveness of the survey collected data for predicting contacts.

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NIAID Data Ecosystem2026-03-10 收录
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https://figshare.com/articles/dataset/Classification_table_output_to_assess_the_effectiveness_of_the_survey_collected_data_for_predicting_contacts_/7568297
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The networks formed with the tag-collected data represents the gold standard and the network formed with information from the survey represents the test. The test sensitivity always correctly predicted the existence of contacts, however, the specificity was relatively low, indicating an inability to correctly predict an absence of contacts. Both the positive and negative predictive values were relatively high (≥ 0.5).

基于标签采集数据构建的网络为金标准网络,而基于调研信息构建的网络则作为测试网络。该测试网络的灵敏度始终可正确预测接触关系的存在,但其特异性相对较低,说明其无法准确识别接触关系的缺失情况。其阳性预测值与阴性预测值均相对较高(≥ 0.5)。
创建时间:
2019-01-09
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