Confidence Evaluation Algorithm Based on the Maximum Distinction
Liya Dong · Journal of Jilin University(Science Edition) · 2015
The authors proposed two confidence estimating methods,namely, K-nearest and maximum distinction methods,which were practized with selected certain percentage of data in the UCI datasets,compared macro-recall,macro-precision and time loss,and proved the effectiveness of maximum distinction.The results show the improvement of confidence evaluation in semi-supervised classification.