Appropriateness of performance indices for imbalanced data classification: An analysis
作者：
Highlights：
• Applicability of popular indices on imbalanced classification problem is analyzed.
• Two fundamental constraints are proposed to evaluate the appropriateness of an index.
• Remedial modifications are suggested in case of violation of constraint.
• A third proposed condition validates the quality of information returned by an index.
• Theoretical findings are empirically validated through extensive experiments.
摘要
•Applicability of popular indices on imbalanced classification problem is analyzed.•Two fundamental constraints are proposed to evaluate the appropriateness of an index.•Remedial modifications are suggested in case of violation of constraint.•A third proposed condition validates the quality of information returned by an index.•Theoretical findings are empirically validated through extensive experiments.
论文关键词：Imbalanced classification,Performance evaluation indices,Precision,Recall,GMean,Area under the curve
论文评审过程：Received 1 July 2019, Revised 17 December 2019, Accepted 8 January 2020, Available online 17 January 2020, Version of Record 31 January 2020.
论文官网地址：https://doi.org/10.1016/j.patcog.2020.107197
