For Dataset: a2b/breast-cancer the best learner was: 4, that had an average accuracy of: 75.2348
For Dataset: a2b/audiology the best learner was: 2, that had an average accuracy of: 69.9241
For Dataset: c2d/colic the best learner was: 4, that had an average accuracy of: 36.9565
For Dataset: c2d/credit-a the best learner was: 4, that had an average accuracy of: 80.1366
For Dataset: c2d/credit-g the best learner was: 8, that had an average accuracy of: 77.6286
For Dataset: c2d/diabetes the best learner was: 6, that had an average accuracy of: 76.1942
For Dataset: e2i/heart-c the best learner was: 8, that had an average accuracy of: 84.1961
For Dataset: e2i/heart-h the best learner was: 4, that had an average accuracy of: 77.5899
For Dataset: e2i/ionosphere the best learner was: 12, that had an average accuracy of: 86.455
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: 6, that had an average accuracy of: 94.5516
For Dataset: q2s/splice the best learner was: 2, that had an average accuracy of: 94.189
For Dataset: q2s/sonar the best learner was: 4, that had an average accuracy of: 53.3654
For Dataset: t2z/vote the best learner was: 4, that had an average accuracy of: 90.1149
For Dataset: t2z/weather the best learner was: 2, that had an average accuracy of: 92.2449