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ROC curves characteristics and results of comparison between tests.
ROC curves characteristics and results of comparison between tests.
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NIAID Data Ecosystem
2026-03-09 收录
ROC曲线分析
性能评估
数据链接:
https://figshare.com/articles/dataset/ROC_curves_characteristics_and_results_of_comparison_between_tests_/2291590
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资源简介:
AUC = Area Under the Curve [95% CI].
应用场景:
创建时间:
2016-02-12
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5-fold cross-validated prediction performance (mean AUC) of feature-agnostic CNN on validation set (AUCval) and test set (AUCtest) with standard deviation.
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Last column shows the differences between test and validation AUCs. Results are reported for training with and without augmentation.
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Receiver operating characteristic (ROC) curve analyses for the lowest median neutralization values of YFV-, MAYV, CHIKV-infected groups compared to the highest median neutralization values of respective mock groups.
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Legend: Lowest (for infected groups) and highest (for mock groups) median neutralization values using liver homogenates in adapted plaque reduction neutralization assays were used for ROC analyses. Sa
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2024-12-13 更新
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Sensitivity and specificity metrics for each of the Receiver Operating Characteristic curves.
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Sensitivity and specificity metrics for each of the Receiver Operating Characteristic curves.
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Mean peak error by validation season, stratified by regression type and model variant.
性能评估
回归预测误差
Mean peak error by validation season, stratified by regression type and model variant.
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