A bootstrapping method corrected for a substantial proportion of overestimation of test accuracy estimates when optimal cutoffs and accuracy were estimated simultaneously
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https://borealisdata.ca/citation?persistentId=doi:10.5683/SP3/IAMLIJ
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Using data-driven methods to determine optimal cutoffs often fails to identify the correct optimal cutoff and exaggerates accuracy. We evaluated the performance of a bootstrapping method to correct associated accuracy estimates for optimism.
提供机构:
Borealis
创建时间:
2025-05-27



