A Note on Comparison of F-measures

12/09/2021

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We comment on a recent TKDE paper "Linear Approximation of F-measure for the Performance Evaluation of Classification Algorithms on Imbalanced Data Sets", and make two improvements related to comparison of F-measures for two prediction rules.

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A Note on Comparison of F-measures

Should we Reload Time Series Classification Performance Evaluation ? (a position paper)

Improving all-reduce collective operations for imbalanced process arrival patterns

Visual-Based Analysis of Classification Measures with Applications to Imbalanced Data

A Split-Merge Framework for Comparing Clusterings

A Minimax Probability Machine for Non-Decomposable Performance Measures

A New Distance Measure for Non-Identical Data with Application to Image Classification

Exploiting a comparability mapping to improve bi-lingual data categorization: a three-mode data analysis perspective

A Note on Comparison of F-measures

Related Research

Should we Reload Time Series Classification Performance Evaluation ? (a position paper)

Improving all-reduce collective operations for imbalanced process arrival patterns

Visual-Based Analysis of Classification Measures with Applications to Imbalanced Data

A Split-Merge Framework for Comparing Clusterings

A Minimax Probability Machine for Non-Decomposable Performance Measures

A New Distance Measure for Non-Identical Data with Application to Image Classification

Exploiting a comparability mapping to improve bi-lingual data categorization: a three-mode data analysis perspective