2 papers
stat.ME2026
Measures of classification bias derived from sample size analysis
Ioannis Ivrissimtzis, Shauna Concannon, Matthew Houliston +1
We propose the use of a simple intuitive principle for measuring algorithmic classification bias: the significance of the differences in a classifier's error rates across the vario…
cs.LG2024
Zero-failure testing of binary classifiers
Ioannis Ivrissimtzis, Matthew Houliston, Shauna Concannon +1
We propose using performance metrics derived from zero-failure testing to assess binary classifiers. The principal characteristic of the proposed approach is the asymmetric treatme…