Abstract
Abhaya Indrayan
Abstract
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Use of ROC curve analysis for prediction gives fallacious results: Use predictivity-based indices
10.4103/jpgm.jpgm_753_23 · doi-reference
The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets
10.1371/journal.pone.0118432 · doi-reference
Variation of sensitivity, specificity, likelihood ratios and predictive values with disease prevalence
10.1002/(sici)1097-0258(19970515)16:9<981::aid-sim510>3.0.co;2-n · doi-reference
Foundational statistical principles in medical research: Sensitivity, specificity, positive predictive value, and negative predictive value
10.3390/medicina57050503 · doi-reference
Machine learning-based prediction of inflammation adjusted iron deficiency anaemia using blood cell indices
10.25259/ijmr_1500_2025 · doi-reference