Table 1. Comparing algorithms using the balanced cross-validation error.

LMB vs	ID3	CART	LogitBoost	Random Forests
wins	12	11	7	4
losses	1	2	4	8
ties	0	0	2	1
MAB vs	ID3	CART	LogitBoost	Random Forests
wins	11	10	5	4
losses	1	2	6	8
ties	1	1	2	1

Results of LMB and MAB MediBoost algorithms vs different decision tree (ID3 & CART) and ensemble learning (LogitBoost & Random Forests) algorithms on 13 medical data sets. showing the number of data sets where the MediBoost had better, worse, or equivalent accuracy.