Multi-class probabilistic classification using inductive and cross Venn-Abers predictors
Published in
International Symposium on Conformal and Probab...(2017)External Links:
TL
TL;DR
This work presents a new approach to multi-class probability estimation by turning IVAPs and CVAPs into multiclass probabilistic predictors, which are experimentally more accurate than both uncalibrated predictors and existing calibration methods.