Progress: 100% (416/416)
Rank 1: validation: 0.97377 (+/-0.00103) train: 1.00000 (+/-0.00000):
{'max_features': 100, 'min_samples_split': 2, 'criterion': 'gini'}
Rank 2: validation: 0.97273 (+/-0.00107) train: 1.00000 (+/-0.00000):
{'max_features': 50, 'min_samples_split': 2, 'criterion': 'gini'}
Rank 3: validation: 0.97253 (+/-0.00047) train: 1.00000 (+/-0.00000):
{'max_features': 30, 'min_samples_split': 2, 'criterion': 'gini'}
Rank 4: validation: 0.97247 (+/-0.00133) train: 1.00000 (+/-0.00000):
{'max_features': 200, 'min_samples_split': 2, 'criterion': 'entropy'}
Rank 5: validation: 0.97223 (+/-0.00150) train: 1.00000 (+/-0.00000):
{'max_features': 100, 'min_samples_split': 2, 'criterion': 'entropy'}
Rank 6: validation: 0.97193 (+/-0.00067) train: 1.00000 (+/-0.00000):
{'max_features': 100, 'min_samples_split': 5, 'criterion': 'gini'}
Rank 7: validation: 0.97183 (+/-0.00083) train: 1.00000 (+/-0.00000):
{'max_features': 200, 'min_samples_split': 2, 'criterion': 'gini'}
Rank 8: validation: 0.97177 (+/-0.00097) train: 1.00000 (+/-0.00000):
{'max_features': 50, 'min_samples_split': 2, 'criterion': 'entropy'}
Rank 9: validation: 0.97167 (+/-0.00080) train: 1.00000 (+/-0.00000):
{'max_features': 20, 'min_samples_split': 2, 'criterion': 'entropy'}
Rank 10: validation: 0.97157 (+/-0.00123) train: 1.00000 (+/-0.00000):
{'max_features': 200, 'min_samples_split': 5, 'criterion': 'gini'}
Rank 11: validation: 0.97143 (+/-0.00163) train: 1.00000 (+/-0.00000):
{'max_features': 100, 'min_samples_split': 5, 'criterion': 'entropy'}
Rank 12: validation: 0.97143 (+/-0.00143) train: 1.00000 (+/-0.00000):
{'max_features': 50, 'min_samples_split': 5, 'criterion': 'gini'}
Rank 13: validation: 0.97143 (+/-0.00083) train: 1.00000 (+/-0.00000):
{'max_features': 50, 'min_samples_split': 5, 'criterion': 'entropy'}
Rank 14: validation: 0.97130 (+/-0.00077) train: 1.00000 (+/-0.00000):
{'max_features': 30, 'min_samples_split': 2, 'criterion': 'entropy'}
Rank 15: validation: 0.97123 (+/-0.00037) train: 1.00000 (+/-0.00000):
{'max_features': 30, 'min_samples_split': 5, 'criterion': 'gini'}
Rank 16: validation: 0.97117 (+/-0.00023) train: 1.00000 (+/-0.00000):
{'max_features': 20, 'min_samples_split': 2, 'criterion': 'gini'}
Rank 17: validation: 0.97107 (+/-0.00133) train: 1.00000 (+/-0.00000):
{'max_features': 200, 'min_samples_split': 5, 'criterion': 'entropy'}
Rank 18: validation: 0.97103 (+/-0.00123) train: 1.00000 (+/-0.00000):
{'max_features': 500, 'min_samples_split': 2, 'criterion': 'gini'}
Rank 19: validation: 0.97100 (+/-0.00133) train: 1.00000 (+/-0.00000):
{'max_features': 500, 'min_samples_split': 2, 'criterion': 'entropy'}
Rank 20: validation: 0.97070 (+/-0.00083) train: 1.00000 (+/-0.00000):
{'max_features': 20, 'min_samples_split': 5, 'criterion': 'gini'}
Rank 21: validation: 0.97057 (+/-0.00083) train: 1.00000 (+/-0.00000):
{'max_features': 768, 'min_samples_split': 2, 'criterion': 'gini'}
Rank 22: validation: 0.97053 (+/-0.00053) train: 1.00000 (+/-0.00000):
{'max_features': 500, 'min_samples_split': 5, 'criterion': 'gini'}
Rank 23: validation: 0.97047 (+/-0.00100) train: 1.00000 (+/-0.00000):
{'max_features': 768, 'min_samples_split': 2, 'criterion': 'entropy'}
Rank 24: validation: 0.97043 (+/-0.00110) train: 1.00000 (+/-0.00000):
{'max_features': 500, 'min_samples_split': 5, 'criterion': 'entropy'}
Rank 25: validation: 0.97040 (+/-0.00113) train: 0.99992 (+/-0.00001):
{'max_features': 50, 'min_samples_split': 10, 'criterion': 'gini'}
Rank 26: validation: 0.97040 (+/-0.00080) train: 0.99999 (+/-0.00001):
{'max_features': 200, 'min_samples_split': 10, 'criterion': 'gini'}
Rank 27: validation: 0.97037 (+/-0.00097) train: 0.99997 (+/-0.00001):
{'max_features': 100, 'min_samples_split': 10, 'criterion': 'gini'}
Rank 28: validation: 0.97020 (+/-0.00080) train: 1.00000 (+/-0.00000):
{'max_features': 20, 'min_samples_split': 5, 'criterion': 'entropy'}
Rank 29: validation: 0.97010 (+/-0.00083) train: 1.00000 (+/-0.00000):
{'max_features': 30, 'min_samples_split': 5, 'criterion': 'entropy'}
Rank 30: validation: 0.97000 (+/-0.00147) train: 0.99997 (+/-0.00001):
{'max_features': 50, 'min_samples_split': 10, 'criterion': 'entropy'}
Rank 31: validation: 0.96950 (+/-0.00097) train: 1.00000 (+/-0.00000):
{'max_features': 768, 'min_samples_split': 5, 'criterion': 'gini'}
Rank 32: validation: 0.96950 (+/-0.00090) train: 1.00000 (+/-0.00000):
{'max_features': 10, 'min_samples_split': 2, 'criterion': 'entropy'}
Rank 33: validation: 0.96930 (+/-0.00123) train: 1.00000 (+/-0.00000):
{'max_features': 768, 'min_samples_split': 5, 'criterion': 'entropy'}
Rank 34: validation: 0.96920 (+/-0.00193) train: 1.00000 (+/-0.00000):
{'max_features': 200, 'min_samples_split': 10, 'criterion': 'entropy'}
Rank 35: validation: 0.96907 (+/-0.00127) train: 1.00000 (+/-0.00000):
{'max_features': 10, 'min_samples_split': 2, 'criterion': 'gini'}
Rank 36: validation: 0.96897 (+/-0.00050) train: 1.00000 (+/-0.00000):
{'max_features': 500, 'min_samples_split': 10, 'criterion': 'entropy'}
Rank 37: validation: 0.96897 (+/-0.00110) train: 0.99989 (+/-0.00002):
{'max_features': 20, 'min_samples_split': 10, 'criterion': 'gini'}
Rank 38: validation: 0.96887 (+/-0.00087) train: 0.99974 (+/-0.00001):
{'max_features': 200, 'min_samples_split': 15, 'criterion': 'gini'}
Rank 39: validation: 0.96883 (+/-0.00043) train: 1.00000 (+/-0.00000):
{'max_features': 100, 'min_samples_split': 10, 'criterion': 'entropy'}
Rank 40: validation: 0.96877 (+/-0.00043) train: 0.99997 (+/-0.00001):
{'max_features': 30, 'min_samples_split': 10, 'criterion': 'gini'}
Rank 41: validation: 0.96873 (+/-0.00100) train: 0.99997 (+/-0.00001):
{'max_features': 500, 'min_samples_split': 10, 'criterion': 'gini'}
Rank 42: validation: 0.96847 (+/-0.00107) train: 1.00000 (+/-0.00000):
{'max_features': 10, 'min_samples_split': 5, 'criterion': 'entropy'}
Rank 43: validation: 0.96847 (+/-0.00093) train: 0.99994 (+/-0.00001):
{'max_features': 30, 'min_samples_split': 10, 'criterion': 'entropy'}
Rank 44: validation: 0.96843 (+/-0.00123) train: 1.00000 (+/-0.00000):
{'max_features': 10, 'min_samples_split': 5, 'criterion': 'gini'}
Rank 45: validation: 0.96843 (+/-0.00037) train: 0.99944 (+/-0.00004):
{'max_features': 50, 'min_samples_split': 15, 'criterion': 'gini'}
Rank 46: validation: 0.96810 (+/-0.00163) train: 0.99968 (+/-0.00006):
{'max_features': 100, 'min_samples_split': 15, 'criterion': 'gini'}
Rank 47: validation: 0.96810 (+/-0.00050) train: 0.99996 (+/-0.00000):
{'max_features': 768, 'min_samples_split': 10, 'criterion': 'gini'}
Rank 48: validation: 0.96783 (+/-0.00097) train: 1.00000 (+/-0.00000):
{'max_features': 768, 'min_samples_split': 10, 'criterion': 'entropy'}
Rank 49: validation: 0.96780 (+/-0.00060) train: 0.99979 (+/-0.00003):
{'max_features': 200, 'min_samples_split': 15, 'criterion': 'entropy'}
Rank 50: validation: 0.96747 (+/-0.00107) train: 0.99908 (+/-0.00003):
{'max_features': 200, 'min_samples_split': 20, 'criterion': 'gini'}
Rank 51: validation: 0.96733 (+/-0.00107) train: 0.99973 (+/-0.00004):
{'max_features': 500, 'min_samples_split': 15, 'criterion': 'gini'}
Rank 52: validation: 0.96723 (+/-0.00057) train: 0.99972 (+/-0.00003):
{'max_features': 100, 'min_samples_split': 15, 'criterion': 'entropy'}
Rank 53: validation: 0.96713 (+/-0.00053) train: 0.99992 (+/-0.00003):
{'max_features': 20, 'min_samples_split': 10, 'criterion': 'entropy'}
Rank 54: validation: 0.96700 (+/-0.00093) train: 0.99988 (+/-0.00001):
{'max_features': 500, 'min_samples_split': 15, 'criterion': 'entropy'}
Rank 55: validation: 0.96693 (+/-0.00073) train: 0.99892 (+/-0.00006):
{'max_features': 20, 'min_samples_split': 15, 'criterion': 'gini'}
Rank 56: validation: 0.96690 (+/-0.00030) train: 0.99879 (+/-0.00006):
{'max_features': 100, 'min_samples_split': 20, 'criterion': 'gini'}
Rank 57: validation: 0.96680 (+/-0.00047) train: 0.99832 (+/-0.00003):
{'max_features': 50, 'min_samples_split': 20, 'criterion': 'gini'}
Rank 58: validation: 0.96680 (+/-0.00073) train: 0.99929 (+/-0.00009):
{'max_features': 50, 'min_samples_split': 15, 'criterion': 'entropy'}
Rank 59: validation: 0.96667 (+/-0.00033) train: 0.99914 (+/-0.00006):
{'max_features': 30, 'min_samples_split': 15, 'criterion': 'entropy'}
Rank 60: validation: 0.96663 (+/-0.00050) train: 0.99924 (+/-0.00011):
{'max_features': 30, 'min_samples_split': 15, 'criterion': 'gini'}
Rank 61: validation: 0.96657 (+/-0.00103) train: 0.99981 (+/-0.00003):
{'max_features': 768, 'min_samples_split': 15, 'criterion': 'entropy'}
Rank 62: validation: 0.96653 (+/-0.00093) train: 0.99782 (+/-0.00016):
{'max_features': 30, 'min_samples_split': 20, 'criterion': 'gini'}
Rank 63: validation: 0.96617 (+/-0.00143) train: 0.99969 (+/-0.00000):
{'max_features': 768, 'min_samples_split': 15, 'criterion': 'gini'}
Rank 64: validation: 0.96617 (+/-0.00070) train: 0.99810 (+/-0.00006):
{'max_features': 200, 'min_samples_split': 25, 'criterion': 'gini'}
Rank 65: validation: 0.96587 (+/-0.00040) train: 0.99977 (+/-0.00008):
{'max_features': 10, 'min_samples_split': 10, 'criterion': 'gini'}
Rank 66: validation: 0.96587 (+/-0.00040) train: 0.99971 (+/-0.00004):
{'max_features': 10, 'min_samples_split': 10, 'criterion': 'entropy'}
Rank 67: validation: 0.96550 (+/-0.00150) train: 0.99880 (+/-0.00009):
{'max_features': 200, 'min_samples_split': 20, 'criterion': 'entropy'}
Rank 68: validation: 0.96547 (+/-0.00153) train: 0.99848 (+/-0.00008):
{'max_features': 100, 'min_samples_split': 20, 'criterion': 'entropy'}
Rank 69: validation: 0.96540 (+/-0.00007) train: 0.99774 (+/-0.00001):
{'max_features': 50, 'min_samples_split': 20, 'criterion': 'entropy'}
Rank 70: validation: 0.96537 (+/-0.00117) train: 0.99771 (+/-0.00002):
{'max_features': 100, 'min_samples_split': 25, 'criterion': 'gini'}
Rank 71: validation: 0.96530 (+/-0.00070) train: 0.99923 (+/-0.00001):
{'max_features': 500, 'min_samples_split': 20, 'criterion': 'gini'}
Rank 72: validation: 0.96510 (+/-0.00137) train: 0.99902 (+/-0.00007):
{'max_features': 500, 'min_samples_split': 20, 'criterion': 'entropy'}
Rank 73: validation: 0.96500 (+/-0.00087) train: 0.99911 (+/-0.00007):
{'max_features': 768, 'min_samples_split': 20, 'criterion': 'gini'}
Rank 74: validation: 0.96497 (+/-0.00030) train: 0.99737 (+/-0.00008):
{'max_features': 20, 'min_samples_split': 20, 'criterion': 'gini'}
Rank 75: validation: 0.96483 (+/-0.00090) train: 0.99877 (+/-0.00008):
{'max_features': 20, 'min_samples_split': 15, 'criterion': 'entropy'}
Rank 76: validation: 0.96470 (+/-0.00063) train: 0.99642 (+/-0.00002):
{'max_features': 100, 'min_samples_split': 25, 'criterion': 'entropy'}
Rank 77: validation: 0.96467 (+/-0.00127) train: 0.99719 (+/-0.00008):
{'max_features': 200, 'min_samples_split': 25, 'criterion': 'entropy'}
Rank 78: validation: 0.96467 (+/-0.00153) train: 0.99720 (+/-0.00016):
{'max_features': 30, 'min_samples_split': 20, 'criterion': 'entropy'}
Rank 79: validation: 0.96437 (+/-0.00137) train: 0.99871 (+/-0.00009):
{'max_features': 768, 'min_samples_split': 20, 'criterion': 'entropy'}
Rank 80: validation: 0.96433 (+/-0.00027) train: 0.99850 (+/-0.00028):
{'max_features': 10, 'min_samples_split': 15, 'criterion': 'gini'}
Rank 81: validation: 0.96423 (+/-0.00130) train: 0.99678 (+/-0.00004):
{'max_features': 200, 'min_samples_split': 30, 'criterion': 'gini'}
Rank 82: validation: 0.96400 (+/-0.00100) train: 0.99747 (+/-0.00007):
{'max_features': 500, 'min_samples_split': 25, 'criterion': 'entropy'}
Rank 83: validation: 0.96390 (+/-0.00090) train: 0.99611 (+/-0.00009):
{'max_features': 100, 'min_samples_split': 30, 'criterion': 'gini'}
Rank 84: validation: 0.96387 (+/-0.00047) train: 0.99819 (+/-0.00001):
{'max_features': 500, 'min_samples_split': 25, 'criterion': 'gini'}
Rank 85: validation: 0.96370 (+/-0.00143) train: 0.99628 (+/-0.00010):
{'max_features': 30, 'min_samples_split': 25, 'criterion': 'gini'}
Rank 86: validation: 0.96360 (+/-0.00087) train: 0.99684 (+/-0.00013):
{'max_features': 50, 'min_samples_split': 25, 'criterion': 'gini'}
Rank 87: validation: 0.96357 (+/-0.00010) train: 0.99548 (+/-0.00014):
{'max_features': 50, 'min_samples_split': 25, 'criterion': 'entropy'}
Rank 88: validation: 0.96333 (+/-0.00140) train: 0.99488 (+/-0.00001):
{'max_features': 200, 'min_samples_split': 30, 'criterion': 'entropy'}
Rank 89: validation: 0.96327 (+/-0.00113) train: 0.99468 (+/-0.00017):
{'max_features': 30, 'min_samples_split': 25, 'criterion': 'entropy'}
Rank 90: validation: 0.96317 (+/-0.00097) train: 0.99436 (+/-0.00009):
{'max_features': 100, 'min_samples_split': 30, 'criterion': 'entropy'}
Rank 91: validation: 0.96303 (+/-0.00123) train: 0.99816 (+/-0.00002):
{'max_features': 10, 'min_samples_split': 15, 'criterion': 'entropy'}
Rank 92: validation: 0.96303 (+/-0.00097) train: 0.99678 (+/-0.00004):
{'max_features': 20, 'min_samples_split': 20, 'criterion': 'entropy'}
Rank 93: validation: 0.96303 (+/-0.00017) train: 0.99509 (+/-0.00020):
{'max_features': 50, 'min_samples_split': 30, 'criterion': 'gini'}
Rank 94: validation: 0.96297 (+/-0.00230) train: 0.99801 (+/-0.00006):
{'max_features': 768, 'min_samples_split': 25, 'criterion': 'gini'}
Rank 95: validation: 0.96273 (+/-0.00013) train: 0.99388 (+/-0.00026):
{'max_features': 200, 'min_samples_split': 40, 'criterion': 'gini'}
Rank 96: validation: 0.96260 (+/-0.00013) train: 0.99421 (+/-0.00008):
{'max_features': 30, 'min_samples_split': 30, 'criterion': 'gini'}
Rank 97: validation: 0.96257 (+/-0.00137) train: 0.99549 (+/-0.00016):
{'max_features': 20, 'min_samples_split': 25, 'criterion': 'gini'}
Rank 98: validation: 0.96253 (+/-0.00133) train: 0.99700 (+/-0.00004):
{'max_features': 768, 'min_samples_split': 25, 'criterion': 'entropy'}
Rank 99: validation: 0.96253 (+/-0.00147) train: 0.99698 (+/-0.00007):
{'max_features': 500, 'min_samples_split': 30, 'criterion': 'gini'}
Rank 100: validation: 0.96233 (+/-0.00000) train: 0.99637 (+/-0.00003):
{'max_features': 10, 'min_samples_split': 20, 'criterion': 'gini'}