Work

Quantifying classifier performance relative to the uninformed model

Year: 2025
Type: preprint
Abstract: Two novel, simple metrics for classifier performance are proposed: An accuracy-based R 2 and its scaled variant, the fair accuracy. They both measure the performance relative to the uninformed classifier and are better suited for imbalanced classes than common metrics, like the F 1 score or MCC.
Author: Igor Fischer
Language: English
Open Access status: gold
OpenAlex ID: W4413638597
Cites:
Cited by:
Related to: 10