Home › Entities › academia › Comparison of two classifiers when the data sets are imbalanced: the power of the area under the precision-recall curve as the figure of merit versus the area under the ROC curve

Comparison of two classifiers when the data sets are imbalanced: the power of the area under the precision-recall curve as the figure of merit versus the area under the ROC curve

Research article (Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, 2017) · cited 14× · AI/ML
academia openalex:W2593903992
Press Enter · cited answer in seconds

Comparison of two classifiers when the data sets are imbalanced: the power of the area under the precision-recall curve as the figure of merit versus the area under the ROC curve

Summary

Comparison of two classifiers when the data sets are imbalanced: the power of the area under the precision-recall curve as the figure of merit versus the area under the ROC curve is a scholarly article[1].

Key Facts

  • Comparison of two classifiers when the data sets are imbalanced: the power of the area under the precision-recall curve as the figure of merit versus the area under the ROC curve's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Comparison of two classifiers when the data sets are imbalanced: the power of the area under the precision-recall curve as the figure of merit versus the area under the ROC curve. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-of-two-classifiers-when-the-data-sets-are-imbalanced-the-power-of-the-area-under-the-precision-recall-curve-a
MLA “Comparison of two classifiers when the data sets are imbalanced: the power of the area under the precision-recall curve as the figure of merit versus the area under the ROC curve.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparison-of-two-classifiers-when-the-data-sets-are-imbalanced-the-power-of-the-area-under-the-precision-recall-curve-a.
BibTeX @misc{4ortxyz_comparison-of-two-classifiers-when-the-data-sets-are-imbalanced-the-power-of-the-area-under-the-precision-recall-curve-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison of two classifiers when the data sets are imbalanced: the power of the area under the precision-recall curve as the figure of merit versus the area under the ROC curve}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-of-two-classifiers-when-the-data-sets-are-imbalanced-the-power-of-the-area-under-the-precision-recall-curve-a}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparison of two classifiers when the data sets are imbalanced: the power of the area under the precision-recall curve as the figure of merit versus the area under the ROC curve — https://4ort.xyz/entity/comparison-of-two-classifiers-when-the-data-sets-are-imbalanced-the-power-of-the-area-under-the-precision-recall-curve-a (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/comparison-of-two-classifiers-when-the-data-sets-are-imbalanced-the-power-of-the-area-under-the-precision-recall-curve-a · Last refreshed: