For Dataset: a2b/breast-cancer the best learner was: 3, that had an average accuracy of: 75.3147
For Dataset: a2b/audiology the best learner was: 6, that had an average accuracy of: 69.8356
For Dataset: c2d/colic the best learner was: 12, that had an average accuracy of: 36.9565
For Dataset: c2d/credit-a the best learner was: 8, that had an average accuracy of: 80.2195
For Dataset: c2d/credit-g the best learner was: 8, that had an average accuracy of: 77.5543
For Dataset: c2d/diabetes the best learner was: 7, that had an average accuracy of: 76.1049
For Dataset: e2i/heart-c the best learner was: 8, that had an average accuracy of: 84.2904
For Dataset: e2i/heart-h the best learner was: 4, that had an average accuracy of: 76.8416
For Dataset: e2i/ionosphere the best learner was: 12, that had an average accuracy of: 86.4713
For Dataset: j2p/kr-vs-kp the best learner was: 6, that had an average accuracy of: 88.2979
For Dataset: j2p/mushroom the best learner was: 6, that had an average accuracy of: 95.6056
For Dataset: q2s/sick the best learner was: 2, that had an average accuracy of: 94.5364
For Dataset: q2s/splice the best learner was: 1, that had an average accuracy of: 95.7152
For Dataset: q2s/sonar the best learner was: 1, that had an average accuracy of: 53.3929
For Dataset: t2z/vote the best learner was: 8, that had an average accuracy of: 90.1149
For Dataset: t2z/weather the best learner was: 2, that had an average accuracy of: 94.6939