*** optimization  1: 0.97069929:
*** optimization  2: 0.97432071:
*** optimization  3: 0.98338802:
*** optimization  4: 0.98788178:
*** optimization  5: 0.98894239:
*** optimization  10: 0.98692032:
*** optimization  15: 0.98842239:
*** optimization  20: 0.97804067:
*** Optimal parameter: minSubset = 5
Optimal setting:  5
*** optimization  1: 0.98321909:
*** optimization  2: 0.97819892:
*** optimization  3: 0.99126792:
*** optimization  4: 0.99376568:
*** optimization  5: 0.99075045:
*** optimization  10: 0.98726478:
*** optimization  15: 0.98976927:
*** optimization  20: 0.99105063:
*** Optimal parameter: minSubset = 4
*** optimization  1: 0.97296371:
*** optimization  2: 0.97278674:
*** optimization  3: 0.98086246:
*** optimization  4: 0.98209901:
*** optimization  5: 0.98543683:
*** optimization  10: 0.98856855:
*** optimization  15: 0.99162634:
*** optimization  20: 0.98600806:
*** Optimal parameter: minSubset = 15
*** optimization  1: 0.98023073:
*** optimization  2: 0.98306900:
*** optimization  3: 0.98245296:
*** optimization  4: 0.98960125:
*** optimization  5: 0.98472670:
*** optimization  10: 0.98965278:
*** optimization  15: 0.98743504:
*** optimization  20: 0.97437948:
*** Optimal parameter: minSubset = 10
*** optimization  1: 0.96825045:
*** optimization  2: 0.97633289:
*** optimization  3: 0.97483423:
*** optimization  4: 0.98026658:
*** optimization  5: 0.97956765:
*** optimization  10: 0.97693324:
*** optimization  15: 0.97734543:
*** optimization  20: 0.97408154:
*** Optimal parameter: minSubset = 4
*** optimization  1: 0.96405914:
*** optimization  2: 0.97413978:
*** optimization  3: 0.97834677:
*** optimization  4: 0.98721102:
*** optimization  5: 0.98688396:
*** optimization  10: 0.98780690:
*** optimization  15: 0.98020833:
*** optimization  20: 0.97671371:
*** Optimal parameter: minSubset = 10
*** optimization  1: 0.97435708:
*** optimization  2: 0.97433705:
*** optimization  3: 0.97782107:
*** optimization  4: 0.97559295:
*** optimization  5: 0.98345645:
*** optimization  10: 0.98451828:
*** optimization  15: 0.98160682:
*** optimization  20: 0.98027819:
*** Optimal parameter: minSubset = 10
*** optimization  1: 0.97647017:
*** optimization  2: 0.98519869:
*** optimization  3: 0.98775030:
*** optimization  4: 0.98942575:
*** optimization  5: 0.98909228:
*** optimization  10: 0.98262769:
*** optimization  15: 0.98151338:
*** optimization  20: 0.98251312:
*** Optimal parameter: minSubset = 4
*** optimization  1: 0.98090168:
*** optimization  2: 0.99166557:
*** optimization  3: 0.98834444:
*** optimization  4: 0.98843880:
*** optimization  5: 0.99087896:
*** optimization  10: 0.98963769:
*** optimization  15: 0.98902970:
*** optimization  20: 0.98413508:
*** Optimal parameter: minSubset = 2
*** optimization  1: 0.97177195:
*** optimization  2: 0.97940412:
*** optimization  3: 0.98024642:
*** optimization  4: 0.98027106:
*** optimization  5: 0.98310708:
*** optimization  10: 0.98413978:
*** optimization  15: 0.98651210:
*** optimization  20: 0.97995520:
*** Optimal parameter: minSubset = 15
*** optimization  1: 0.97084229:
*** optimization  2: 0.97555108:
*** optimization  3: 0.98384185:
*** optimization  4: 0.97722222:
*** optimization  5: 0.98428539:
*** optimization  10: 0.98924731:
*** optimization  15: 0.98778002:
*** optimization  20: 0.98074149:
*** Optimal parameter: minSubset = 10
Untuned tree: 0.926
Tuned tree: 0.983
*** optimization  1: 0.97069929:
*** optimization  2: 0.97432071:
*** optimization  3: 0.98338802:
*** optimization  4: 0.98788178:
*** optimization  5: 0.98894239:
*** optimization  10: 0.98692032:
*** optimization  15: 0.98842239:
*** optimization  20: 0.97804067:
*** Optimal parameter: ['split.continuousSplitConstructor.minSubset', 'split.discreteSplitConstructor.minSubset'] = 5
Optimal setting:  5.0
