The application of ROC analysis in threshold identification, data imbalance and metrics selection for software fault prediction

Research article (Innovations in Systems and Software Engineering, 2017) · cited 37× · AI/ML
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The application of ROC analysis in threshold identification, data imbalance and metrics selection for software fault prediction

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The application of ROC analysis in threshold identification, data imbalance and metrics selection for software fault prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). The application of ROC analysis in threshold identification, data imbalance and metrics selection for software fault prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-application-of-roc-analysis-in-threshold-identification-data-imbalance-and-metrics-selection-for-software-fault-pred
MLA “The application of ROC analysis in threshold identification, data imbalance and metrics selection for software fault prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-application-of-roc-analysis-in-threshold-identification-data-imbalance-and-metrics-selection-for-software-fault-pred.
BibTeX @misc{4ortxyz_the-application-of-roc-analysis-in-threshold-identification-data-imbalance-and-metrics-selection-for-software-fault-pred_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The application of ROC analysis in threshold identification, data imbalance and metrics selection for software fault prediction}}, year = {2026}, url = {https://4ort.xyz/entity/the-application-of-roc-analysis-in-threshold-identification-data-imbalance-and-metrics-selection-for-software-fault-pred}, note = {Accessed: 2026-05-24}}
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