Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers

Meelis Kull, Telmo De Menezes E Silva Filho, Peter Flach

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

389 Downloads (Pure)

1 Article (Academic Journal)

1 results

2023
Classifier calibration: a survey on how to assess and improve predicted class probabilities
de Menezes e Silva Filho, T., Song, H., Perello Nieto, M., Santos-Rodriguez, R., Kull, M. & Flach, P. A., 16 May 2023, In: Machine Learning. 112, 9, p. 3211-3260 50 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
1 Citation (Scopus)