What the F-measure doesn't measure: Features, Flaws, Fallacies and Fixes

Abstract

The F-measure or F-score is one of the most commonly used single number measures in Information Retrieval, Natural Language Processing and Machine Learning, but it is based on a mistake, and the flawed assumptions render it unsuitable for use in most contexts! Fortunately, there are better alternatives.

19 pages

Cited by in corpus (4)

• AI Algorithm for Mode Classification of PCF SPR Sensor Design
• Affective Brain-Computer Interfaces: A Tutorial to Choose Performance Measuring Metric
• A critical analysis of metrics used for measuring progress in artificial intelligence
• PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space