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results on multiple-classes problem with mean_weighted F measure #10

Closed WeiFoo closed 8 years ago

WeiFoo commented 8 years ago 
process 0 started: Nov 30 2015 10:02:10 
process 2 started: Nov 30 2015 10:02:10 
process 3 started: Nov 30 2015 10:02:10 
process 1 started: Nov 30 2015 10:02:10 
newbestscore {'mean_weighted': 0.68931344600280009, 'mean': 0.66338418290696299}:
bestconf {'alpha': 1.0, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.68931344600280009, 'mean': 0.66338418290696299}
final bestconf %s: {'alpha': 1.0, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.68672339267405036, 'mean': 0.7559371943341856}:
bestconf {'alpha': 0.008, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.68672339267405036, 'mean': 0.7559371943341856}
final bestconf %s: {'alpha': 0.008, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.69654262148166213, 'mean': 0.76160773199719833}
final bestconf %s: {'alpha': 0.01, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.67822767822400143, 'mean': 0.74846677254598271}
final bestconf %s: {'alpha': 0.983, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.67908209737065828, 'mean': 0.75187297934351771}:
bestconf {'alpha': 1.0, 'fit_prior': False} :
newbestscore {'mean_weighted': 0.69754734647571326, 'mean': 0.81257275046181987}:
bestconf {'alpha': 0.03, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.69754734647571326, 'mean': 0.81257275046181987}
final bestconf %s: {'alpha': 0.03, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.72198797678251436, 'mean': 0.70680408629994118}:
bestconf {'alpha': 1.0, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.72198797678251436, 'mean': 0.70680408629994118}
final bestconf %s: {'alpha': 1.0, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.72347493812639729, 'mean': 0.76965724389768819}
final bestconf %s: {'alpha': 0.96, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.66398262195741853, 'mean': 0.6882012078175429}:
bestconf {'alpha': 0.039, 'fit_prior': False} :
newbestscore {'mean_weighted': 0.67555647693781506, 'mean': 0.72301456493657323}:
bestconf {'alpha': 0.02, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.67555647693781506, 'mean': 0.72301456493657323}
final bestconf %s: {'alpha': 0.02, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.69082330200555708, 'mean': 0.72406812395673237}
final bestconf %s: {'alpha': 0.972, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.68986845387322648, 'mean': 0.77929472951930046}
final bestconf %s: {'alpha': 0.024, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.82883572512854997, 'mean': 0.8451893593035632}
final bestconf %s: {'alpha': 0.269, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.82295215753202133, 'mean': 0.91354835935919609}:
bestconf {'alpha': 0.02, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.82295215753202133, 'mean': 0.91354835935919609}
final bestconf %s: {'alpha': 0.02, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.8245561521466106, 'mean': 0.84378011620270221}
final bestconf %s: {'alpha': 0.068, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.81119416117414389, 'mean': 0.84391692329211443}:
bestconf {'alpha': 0.38, 'fit_prior': False} :
newbestscore {'mean_weighted': 0.81180349338696245, 'mean': 0.84453720920004149}:
bestconf {'alpha': 0.4, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.81180349338696245, 'mean': 0.84453720920004149}
final bestconf %s: {'alpha': 0.4, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.82784646462222811, 'mean': 0.82132255525272246}:
bestconf {'alpha': 0.98, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.82784646462222811, 'mean': 0.82132255525272246}
final bestconf %s: {'alpha': 0.98, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.83053820750796403, 'mean': 0.82164386111623922}
final bestconf %s: {'alpha': 0.724, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.81480676360312032, 'mean': 0.81227555827856279}:
bestconf {'alpha': 0.42, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.81480676360312032, 'mean': 0.81227555827856279}
final bestconf %s: {'alpha': 0.42, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.82587393488631322, 'mean': 0.78569089682950344}:
bestconf {'alpha': 0.678, 'fit_prior': False} :
newbestscore {'mean_weighted': 0.82613421029275058, 'mean': 0.78576779154775567}:
bestconf {'alpha': 0.68, 'fit_prior': False} :
newbestscore {'mean_weighted': 0.70442009222186286, 'mean': 0.66734783980075074}:
bestconf {'k': 7, 'up_to_num': [94, 755, 377, 176, 399, 493, 651, 86, 20, 211, 44, 683, 473, 99, 81, 727, 778, 798, 40, 135, 462, 699, 798, 145, 166, 323, 279, 355]} :
final bestescore %s: {'mean_weighted': 0.82613421029275058, 'mean': 0.78576779154775567}
final bestconf %s: {'alpha': 0.68, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.81304826700192434, 'mean': 0.75123981805858353}
final bestconf %s: {'alpha': 0.972, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.82987182449944863, 'mean': 0.88336318583418394}:
bestconf {'alpha': 0.019, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.82987182449944863, 'mean': 0.88336318583418394}
final bestconf %s: {'alpha': 0.019, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.85677736070819033, 'mean': 0.86015599162873457}:
bestconf {'alpha': 0.217, 'fit_prior': False} :
newbestscore {'mean_weighted': 0.860296872616227, 'mean': 0.89179468215505153}:
bestconf {'alpha': 0.14, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.860296872616227, 'mean': 0.89179468215505153}
final bestconf %s: {'alpha': 0.14, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.85248327670191804, 'mean': 0.89200975514870962}:
bestconf {'alpha': 0.218, 'fit_prior': False} :
newbestscore {'mean_weighted': 0.85816433478821397, 'mean': 0.89554984996822562}:
bestconf {'alpha': 0.012, 'fit_prior': False} :
newbestscore {'mean_weighted': 0.86010413494025273, 'mean': 0.89630631961909291}:
bestconf {'alpha': 0.01, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.86010413494025273, 'mean': 0.89630631961909291}
final bestconf %s: {'alpha': 0.01, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.8500502784144699, 'mean': 0.89034650183370478}:
bestconf {'alpha': 0.03, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.8500502784144699, 'mean': 0.89034650183370478}
final bestconf %s: {'alpha': 0.03, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.86388587016149987, 'mean': 0.95940062947973215}
final bestconf %s: {'alpha': 0.027, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.85166437193589217, 'mean': 0.92610392423378396}:
bestconf {'alpha': 0.42, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.85166437193589217, 'mean': 0.92610392423378396}
final bestconf %s: {'alpha': 0.42, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.70831858500621492, 'mean': 0.7019353094232178}:
bestconf {'k': 7, 'up_to_num': [187, 25, 272, 217, 643, 136, 778, 641, 10, 606, 656, 322, 692, 312, 145, 84, 442, 798, 798, 466, 654, 382, 594, 751, 479, 97, 10, 662]} :
final bestescore %s: {'mean_weighted': 0.87356697616574375, 'mean': 0.96267952042512206}
final bestconf %s: {'alpha': 0.017, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.85456285513387076, 'mean': 0.8925005961372855}:
bestconf {'alpha': 0.186, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.85456285513387076, 'mean': 0.8925005961372855}
final bestconf %s: {'alpha': 0.186, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.85330495106301218, 'mean': 0.89125909119042768}:
bestconf {'alpha': 0.025, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.85330495106301218, 'mean': 0.89125909119042768}
final bestconf %s: {'alpha': 0.025, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.84643385749560995, 'mean': 0.8901746173274877}
final bestconf %s: {'alpha': 0.254, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.8692619102032425, 'mean': 0.95847961751903921}:
bestconf {'alpha': 0.2, 'fit_prior': False} :
newbestscore {'mean_weighted': 0.87022441899177128, 'mean': 0.95907146731986137}:
bestconf {'alpha': 0.03, 'fit_prior': False} :
newbestscore {'mean_weighted': 0.87307948911482014, 'mean': 0.9606087947084847}:
bestconf {'alpha': 0.02, 'fit_prior': False} :
newbestscore {'mean_weighted': 0.86766121956436071, 'mean': 0.89827165782428409}:
bestconf {'alpha': 0.17, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.87307948911482014, 'mean': 0.9606087947084847}
final bestconf %s: {'alpha': 0.02, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.86766121956436071, 'mean': 0.89827165782428409}
final bestconf %s: {'alpha': 0.17, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.86501541502255908, 'mean': 0.93096049456233398}:
bestconf {'alpha': 0.02, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.86501541502255908, 'mean': 0.93096049456233398}
final bestconf %s: {'alpha': 0.02, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.86416137104995738, 'mean': 0.89562738365249861}
final bestconf %s: {'alpha': 0.138, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.86982734526488614, 'mean': 0.93499673410565787}
final bestconf %s: {'alpha': 0.325, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.85841779150478614, 'mean': 0.92642023250077965}:
bestconf {'alpha': 0.156, 'fit_prior': False} :
newbestscore {'mean_weighted': 0.86379461574307459, 'mean': 0.95919413765191952}:
bestconf {'alpha': 0.03, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.86379461574307459, 'mean': 0.95919413765191952}
final bestconf %s: {'alpha': 0.03, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.87040833332482637, 'mean': 0.89880518926998887}
final bestconf %s: {'alpha': 0.196, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.8743993646474798, 'mean': 0.93507350561140179}:
bestconf {'alpha': 0.43, 'fit_prior': False} :
newbestscore {'mean_weighted': 0.87513967535057324, 'mean': 0.93558244385374045}:
bestconf {'alpha': 0.51, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.87513967535057324, 'mean': 0.93558244385374045}
final bestconf %s: {'alpha': 0.51, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.86340540734385363, 'mean': 0.96270469883082876}:
bestconf {'alpha': 0.05, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.86340540734385363, 'mean': 0.96270469883082876}
final bestconf %s: {'alpha': 0.05, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.81623841377928374, 'mean': 0.84508527913771414}:
bestconf {'k': 7, 'up_to_num': [326, 566, 53, 776, 735, 218, 796, 93, 321, 10, 797, 708, 550, 359, 24, 512, 238, 617, 690, 723, 318, 617, 470, 610, 258, 706, 629, 557]} :
final bestescore %s: {'mean_weighted': 0.86609113251742342, 'mean': 0.93071236296378035}
final bestconf %s: {'alpha': 0.016, 'fit_prior': False}
DONE !!!!
newbestscore {'mean_weighted': 0.87733387572795507, 'mean': 0.96465881393964326}:
bestconf {'alpha': 0.019, 'fit_prior': False} :
final bestescore %s: {'mean_weighted': 0.87733387572795507, 'mean': 0.96465881393964326}
final bestconf %s: {'alpha': 0.019, 'fit_prior': False}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.70831858500621492, 'mean': 0.7019353094232178}
final bestconf %s: {'k': 7, 'up_to_num': [187, 25, 272, 217, 643, 136, 778, 641, 10, 606, 656, 322, 692, 312, 145, 84, 442, 798, 798, 466, 654, 382, 594, 751, 479, 97, 10, 662]}
DONE !!!!
newbestscore {'mean_weighted': 0.67006652927188082, 'mean': 0.71489344034115365}:
bestconf {'k': 3, 'up_to_num': [411, 235, 888, 359, 10, 194, 538, 189, 38, 854, 788, 737, 513, 888, 429, 348, 338, 423, 888, 219, 534, 419, 150, 871, 129, 879, 864, 621]} :
newbestscore {'mean_weighted': 0.81763346681354887, 'mean': 0.84557891328726043}:
bestconf {'k': 7, 'up_to_num': [619, 798, 679, 118, 325, 395, 445, 617, 69, 26, 132, 798, 555, 474, 10, 48, 154, 719, 73, 798, 622, 733, 448, 415, 148, 16, 641, 798]} :
newbestscore {'mean_weighted': 0.67161003120393903, 'mean': 0.74416338532021264}:
bestconf {'k': 5, 'up_to_num': [438, 418, 27, 387, 143, 866, 380, 813, 616, 470, 613, 145, 506, 319, 215, 10, 256, 604, 165, 30, 866, 417, 468, 40, 775, 416, 210, 457]} :
final bestescore %s: {'mean_weighted': 0.67161003120393903, 'mean': 0.74416338532021264}
final bestconf %s: {'k': 5, 'up_to_num': [438, 418, 27, 387, 143, 866, 380, 813, 616, 470, 613, 145, 506, 319, 215, 10, 256, 604, 165, 30, 866, 417, 468, 40, 775, 416, 210, 457]}
DONE !!!!
newbestscore {'mean_weighted': 0.81934254607175216, 'mean': 0.84590447949392078}:
bestconf {'k': 7, 'up_to_num': [10, 656, 358, 798, 798, 57, 319, 787, 730, 718, 41, 10, 798, 486, 10, 798, 10, 386, 643, 747, 135, 509, 431, 10, 798, 455, 486, 798]} :
newbestscore {'mean_weighted': 0.67623389423413527, 'mean': 0.60472510776400845}:
bestconf {'k': 6, 'up_to_num': [428, 451, 419, 855, 921, 82, 215, 751, 178, 786, 228, 149, 714, 751, 305, 395, 317, 183, 541, 474, 224, 679, 343, 129, 262, 167, 75, 772]} :
final bestescore %s: {'mean_weighted': 0.81934254607175216, 'mean': 0.84590447949392078}
final bestconf %s: {'k': 7, 'up_to_num': [10, 656, 358, 798, 798, 57, 319, 787, 730, 718, 41, 10, 798, 486, 10, 798, 10, 386, 643, 747, 135, 509, 431, 10, 798, 455, 486, 798]}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.67623389423413527, 'mean': 0.60472510776400845}
final bestconf %s: {'k': 6, 'up_to_num': [428, 451, 419, 855, 921, 82, 215, 751, 178, 786, 228, 149, 714, 751, 305, 395, 317, 183, 541, 474, 224, 679, 343, 129, 262, 167, 75, 772]}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.85417577755076157, 'mean': 0.92439976845438998}
final bestconf %s: {'k': 8, 'up_to_num': [486, 573, 333, 412, 224, 275, 739, 71, 665, 600, 137, 349, 668, 410, 410, 406, 145, 790, 599, 235, 283, 567, 695, 444, 235, 292, 439, 708]}
DONE !!!!
newbestscore {'mean_weighted': 0.67700173372718964, 'mean': 0.77235615028870819}:
bestconf {'k': 3, 'up_to_num': [540, 338, 10, 321, 810, 32, 10, 10, 310, 622, 601, 508, 636, 407, 280, 877, 252, 464, 10, 536, 331, 490, 656, 505, 410, 343, 504, 881]} :
final bestescore %s: {'mean_weighted': 0.67700173372718964, 'mean': 0.77235615028870819}
final bestconf %s: {'k': 3, 'up_to_num': [540, 338, 10, 321, 810, 32, 10, 10, 310, 622, 601, 508, 636, 407, 280, 877, 252, 464, 10, 536, 331, 490, 656, 505, 410, 343, 504, 881]}
DONE !!!!
newbestscore {'mean_weighted': 0.81936661633537666, 'mean': 0.84754224476008977}:
bestconf {'k': 7, 'up_to_num': [736, 489, 408, 892, 273, 788, 537, 317, 657, 643, 892, 769, 126, 510, 275, 107, 300, 859, 892, 616, 729, 10, 892, 36, 62, 653, 248, 888]} :
newbestscore {'mean_weighted': 0.63281253917315528, 'mean': 0.61692586278984818}:
bestconf {'k': 9, 'up_to_num': [290, 527, 378, 419, 166, 432, 787, 577, 917, 385, 275, 920, 323, 47, 236, 298, 355, 127, 397, 764, 89, 10, 418, 268, 731, 224, 256, 908]} :
newbestscore {'mean_weighted': 0.83122262039726513, 'mean': 0.85598089328999594}:
bestconf {'k': 9, 'up_to_num': [582, 417, 422, 878, 774, 32, 819, 747, 384, 762, 677, 420, 290, 142, 446, 633, 278, 816, 715, 391, 527, 76, 522, 814, 323, 629, 107, 87]} :
newbestscore {'mean_weighted': 0.64047363393337386, 'mean': 0.64427009502751598}:
bestconf {'k': 5, 'up_to_num': [803, 753, 99, 617, 836, 381, 177, 571, 93, 210, 920, 105, 721, 35, 609, 71, 232, 252, 373, 656, 764, 10, 408, 185, 28, 137, 732, 695]} :
final bestescore %s: {'mean_weighted': 0.85923770724135484, 'mean': 0.89557120399034251}
final bestconf %s: {'k': 8, 'up_to_num': [94, 755, 377, 626, 42, 72, 651, 86, 39, 528, 44, 336, 652, 99, 673, 727, 778, 493, 657, 135, 462, 699, 692, 145, 663, 323, 413, 638]}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.81936661633537666, 'mean': 0.84754224476008977}
final bestconf %s: {'k': 7, 'up_to_num': [736, 489, 408, 892, 273, 788, 537, 317, 657, 643, 892, 769, 126, 510, 275, 107, 300, 859, 892, 616, 729, 10, 892, 36, 62, 653, 248, 888]}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.64047363393337386, 'mean': 0.64427009502751598}
final bestconf %s: {'k': 5, 'up_to_num': [803, 753, 99, 617, 836, 381, 177, 571, 93, 210, 920, 105, 721, 35, 609, 71, 232, 252, 373, 656, 764, 10, 408, 185, 28, 137, 732, 695]}
DONE !!!!
newbestscore {'mean_weighted': 0.7126681329042085, 'mean': 0.72768851333396467}:
bestconf {'k': 9, 'up_to_num': [322, 195, 807, 197, 114, 619, 165, 821, 81, 758, 63, 395, 10, 769, 203, 615, 248, 559, 246, 360, 324, 796, 605, 251, 554, 666, 285, 561]} :
newbestscore {'mean_weighted': 0.77708183967004318, 'mean': 0.68094055782058194}:
bestconf {'k': 3, 'up_to_num': [112, 822, 161, 125, 243, 149, 572, 12, 394, 401, 365, 585, 234, 164, 96, 228, 363, 587, 726, 735, 785, 639, 414, 737, 225, 473, 863, 242]} :
final bestescore %s: {'mean_weighted': 0.7126681329042085, 'mean': 0.72768851333396467}
final bestconf %s: {'k': 9, 'up_to_num': [322, 195, 807, 197, 114, 619, 165, 821, 81, 758, 63, 395, 10, 769, 203, 615, 248, 559, 246, 360, 324, 796, 605, 251, 554, 666, 285, 561]}
DONE !!!!
newbestscore {'mean_weighted': 0.65328096437218375, 'mean': 0.74203171326487793}:
bestconf {'k': 7, 'up_to_num': [237, 222, 648, 247, 565, 409, 718, 253, 370, 195, 757, 128, 568, 346, 678, 10, 612, 753, 89, 422, 254, 369, 66, 245, 119, 525, 606, 536]} :
newbestscore {'mean_weighted': 0.83554193144097588, 'mean': 0.85669737744128782}:
bestconf {'k': 9, 'up_to_num': [582, 417, 422, 878, 774, 878, 634, 747, 384, 762, 677, 420, 274, 878, 446, 10, 278, 816, 715, 391, 527, 76, 878, 814, 10, 878, 878, 87]} :
final bestescore %s: {'mean_weighted': 0.65328096437218375, 'mean': 0.74203171326487793}
final bestconf %s: {'k': 7, 'up_to_num': [237, 222, 648, 247, 565, 409, 718, 253, 370, 195, 757, 128, 568, 346, 678, 10, 612, 753, 89, 422, 254, 369, 66, 245, 119, 525, 606, 536]}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.83554193144097588, 'mean': 0.85669737744128782}
final bestconf %s: {'k': 9, 'up_to_num': [582, 417, 422, 878, 774, 878, 634, 747, 384, 762, 677, 420, 274, 878, 446, 10, 278, 816, 715, 391, 527, 76, 878, 814, 10, 878, 878, 87]}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.77708183967004318, 'mean': 0.68094055782058194}
final bestconf %s: {'k': 3, 'up_to_num': [112, 822, 161, 125, 243, 149, 572, 12, 394, 401, 365, 585, 234, 164, 96, 228, 363, 587, 726, 735, 785, 639, 414, 737, 225, 473, 863, 242]}
DONE !!!!
newbestscore {'mean_weighted': 0.85670178664367203, 'mean': 0.89464887354215705}:
bestconf {'k': 10, 'up_to_num': [458, 107, 451, 169, 375, 277, 309, 883, 10, 10, 561, 820, 211, 204, 858, 856, 648, 405, 629, 351, 821, 71, 597, 806, 241, 588, 60, 204]} :
final bestescore %s: {'mean_weighted': 0.63699802673079653, 'mean': 0.59473600387126513}
final bestconf %s: {'k': 7, 'up_to_num': [687, 792, 289, 175, 439, 60, 686, 443, 802, 640, 255, 855, 727, 801, 921, 651, 613, 883, 678, 651, 172, 269, 421, 910, 75, 200, 636, 779]}
DONE !!!!
newbestscore {'mean_weighted': 0.65979106841821611, 'mean': 0.73790057976618606}:
bestconf {'k': 4, 'up_to_num': [48, 720, 841, 768, 204, 483, 450, 784, 12, 10, 516, 187, 158, 871, 10, 16, 862, 769, 382, 260, 777, 666, 913, 804, 83, 342, 340, 325]} :
newbestscore {'mean_weighted': 0.81571601380529501, 'mean': 0.87502744293874546}:
bestconf {'k': 6, 'up_to_num': [633, 608, 265, 682, 319, 10, 359, 603, 199, 595, 33, 741, 916, 847, 90, 10, 376, 900, 150, 454, 300, 137, 514, 754, 768, 483, 269, 805]} :
final bestescore %s: {'mean_weighted': 0.65979106841821611, 'mean': 0.73790057976618606}
final bestconf %s: {'k': 4, 'up_to_num': [48, 720, 841, 768, 204, 483, 450, 784, 12, 10, 516, 187, 158, 871, 10, 16, 862, 769, 382, 260, 777, 666, 913, 804, 83, 342, 340, 325]}
DONE !!!!
newbestscore {'mean_weighted': 0.8164910233011462, 'mean': 0.87531030005420818}:
bestconf {'k': 4, 'up_to_num': [409, 856, 462, 592, 446, 271, 10, 684, 220, 676, 529, 794, 454, 10, 125, 96, 670, 442, 10, 242, 10, 10, 10, 285, 220, 506, 557, 439]} :
newbestscore {'mean_weighted': 0.67325704277089871, 'mean': 0.65003093240282162}:
bestconf {'k': 4, 'up_to_num': [69, 935, 915, 781, 562, 22, 284, 292, 633, 358, 319, 148, 117, 874, 876, 451, 511, 427, 110, 235, 410, 935, 47, 493, 283, 816, 331, 824]} :
newbestscore {'mean_weighted': 0.82196224027011833, 'mean': 0.87701429047245438}:
bestconf {'k': 6, 'up_to_num': [165, 370, 298, 707, 85, 225, 352, 916, 10, 533, 26, 717, 916, 529, 10, 869, 712, 442, 151, 168, 552, 10, 668, 913, 749, 710, 109, 691]} :
final bestescore %s: {'mean_weighted': 0.85670178664367203, 'mean': 0.89464887354215705}
final bestconf %s: {'k': 10, 'up_to_num': [458, 107, 451, 169, 375, 277, 309, 883, 10, 10, 561, 820, 211, 204, 858, 856, 648, 405, 629, 351, 821, 71, 597, 806, 241, 588, 60, 204]}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.67325704277089871, 'mean': 0.65003093240282162}
final bestconf %s: {'k': 4, 'up_to_num': [69, 935, 915, 781, 562, 22, 284, 292, 633, 358, 319, 148, 117, 874, 876, 451, 511, 427, 110, 235, 410, 935, 47, 493, 283, 816, 331, 824]}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.82196224027011833, 'mean': 0.87701429047245438}
final bestconf %s: {'k': 6, 'up_to_num': [165, 370, 298, 707, 85, 225, 352, 916, 10, 533, 26, 717, 916, 529, 10, 869, 712, 442, 151, 168, 552, 10, 668, 913, 749, 710, 109, 691]}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.81803726204306315, 'mean': 0.72030512536286584}
final bestconf %s: {'k': 4, 'up_to_num': [622, 884, 470, 713, 51, 219, 216, 482, 410, 279, 434, 769, 48, 167, 260, 796, 397, 585, 541, 331, 881, 503, 245, 408, 32, 607, 579, 661]}
DONE !!!!
newbestscore {'mean_weighted': 0.85431874213130166, 'mean': 0.8955537564922218}:
bestconf {'k': 9, 'up_to_num': [232, 807, 446, 604, 879, 656, 21, 214, 792, 545, 802, 371, 727, 527, 467, 852, 232, 371, 10, 388, 428, 471, 120, 445, 321, 123, 43, 170]} :
final bestescore %s: {'mean_weighted': 0.8027637190748661, 'mean': 0.84128817969921144}
final bestconf %s: {'k': 4, 'up_to_num': [782, 712, 623, 682, 253, 492, 48, 139, 569, 819, 443, 542, 299, 761, 387, 281, 599, 685, 900, 584, 571, 666, 797, 43, 167, 397, 399, 423]}
DONE !!!!
newbestscore {'mean_weighted': 0.84320155709294964, 'mean': 0.85060888892836173}:
bestconf {'k': 4, 'up_to_num': [383, 638, 460, 460, 776, 15, 701, 626, 367, 722, 10, 314, 628, 333, 399, 750, 638, 531, 626, 286, 268, 469, 820, 461, 423, 613, 452, 724]} :
newbestscore {'mean_weighted': 0.84510468530978866, 'mean': 0.88421165210563957}:
bestconf {'k': 9, 'up_to_num': [530, 456, 508, 781, 630, 131, 797, 613, 366, 145, 424, 566, 88, 279, 759, 14, 204, 499, 158, 637, 138, 789, 435, 471, 544, 557, 456, 270]} :
final bestescore %s: {'mean_weighted': 0.82902358707503521, 'mean': 0.88511946812456532}
final bestconf %s: {'k': 9, 'up_to_num': [75, 72, 657, 913, 724, 497, 478, 645, 358, 350, 360, 256, 263, 565, 852, 29, 537, 467, 613, 445, 784, 421, 261, 460, 113, 725, 704, 800]}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.85431874213130166, 'mean': 0.8955537564922218}
final bestconf %s: {'k': 9, 'up_to_num': [232, 807, 446, 604, 879, 656, 21, 214, 792, 545, 802, 371, 727, 527, 467, 852, 232, 371, 10, 388, 428, 471, 120, 445, 321, 123, 43, 170]}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.84510468530978866, 'mean': 0.88421165210563957}
final bestconf %s: {'k': 9, 'up_to_num': [530, 456, 508, 781, 630, 131, 797, 613, 366, 145, 424, 566, 88, 279, 759, 14, 204, 499, 158, 637, 138, 789, 435, 471, 544, 557, 456, 270]}
DONE !!!!
newbestscore {'mean_weighted': 0.85359961100498372, 'mean': 0.89013470001510009}:
bestconf {'k': 3, 'up_to_num': [278, 509, 212, 217, 10, 531, 10, 807, 632, 770, 597, 10, 761, 694, 905, 302, 429, 330, 570, 441, 293, 419, 37, 875, 166, 893, 889, 511]} :
newbestscore {'mean_weighted': 0.85678298028591804, 'mean': 0.89097425292914789}:
bestconf {'k': 6, 'up_to_num': [122, 529, 10, 552, 10, 950, 10, 703, 803, 10, 909, 212, 703, 335, 710, 844, 183, 636, 949, 530, 301, 877, 765, 551, 348, 913, 457, 543]} :
final bestescore %s: {'mean_weighted': 0.81115673337642458, 'mean': 0.84365351627609553}
final bestconf %s: {'k': 4, 'up_to_num': [840, 283, 20, 444, 156, 497, 265, 812, 132, 677, 139, 178, 459, 444, 301, 485, 200, 145, 640, 373, 644, 324, 418, 49, 751, 480, 192, 389]}
DONE !!!!
newbestscore {'mean_weighted': 0.86610315451145736, 'mean': 0.95963987517039895}:
bestconf {'k': 8, 'up_to_num': [161, 126, 680, 391, 240, 816, 302, 842, 714, 224, 573, 164, 363, 626, 338, 700, 749, 791, 939, 877, 888, 427, 600, 392, 726, 382, 862, 752]} :
newbestscore {'mean_weighted': 0.7932827436487826, 'mean': 0.77595696569692785}:
bestconf {'k': 9, 'up_to_num': [639, 539, 486, 214, 239, 125, 160, 10, 634, 912, 606, 44, 571, 736, 236, 918, 574, 178, 601, 567, 327, 918, 837, 120, 10, 806, 138, 19]} :
final bestescore %s: {'mean_weighted': 0.85678298028591804, 'mean': 0.89097425292914789}
final bestconf %s: {'k': 6, 'up_to_num': [122, 529, 10, 552, 10, 950, 10, 703, 803, 10, 909, 212, 703, 335, 710, 844, 183, 636, 949, 530, 301, 877, 765, 551, 348, 913, 457, 543]}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.7932827436487826, 'mean': 0.77595696569692785}
final bestconf %s: {'k': 9, 'up_to_num': [639, 539, 486, 214, 239, 125, 160, 10, 634, 912, 606, 44, 571, 736, 236, 918, 574, 178, 601, 567, 327, 918, 837, 120, 10, 806, 138, 19]}
DONE !!!!
newbestscore {'mean_weighted': 0.84059666574141267, 'mean': 0.79012384646673572}:
bestconf {'k': 9, 'up_to_num': [385, 724, 733, 298, 448, 770, 636, 53, 408, 189, 295, 775, 335, 277, 722, 150, 533, 141, 433, 340, 278, 180, 351, 785, 624, 598, 10, 645]} :
newbestscore {'mean_weighted': 0.84330026583411866, 'mean': 0.79074775358736493}:
bestconf {'k': 6, 'up_to_num': [235, 16, 534, 429, 210, 456, 805, 594, 90, 327, 808, 420, 85, 744, 121, 338, 800, 708, 283, 698, 768, 483, 721, 141, 611, 88, 29, 10]} :
newbestscore {'mean_weighted': 0.8038983575312163, 'mean': 0.80756979947167418}:
bestconf {'k': 3, 'up_to_num': [622, 316, 619, 818, 51, 926, 534, 926, 823, 257, 726, 10, 821, 538, 572, 724, 130, 422, 243, 579, 354, 847, 605, 589, 755, 811, 236, 291]} :
final bestescore %s: {'mean_weighted': 0.86610315451145736, 'mean': 0.95963987517039895}
final bestconf %s: {'k': 8, 'up_to_num': [161, 126, 680, 391, 240, 816, 302, 842, 714, 224, 573, 164, 363, 626, 338, 700, 749, 791, 939, 877, 888, 427, 600, 392, 726, 382, 862, 752]}
DONE !!!!
newbestscore {'mean_weighted': 0.80419820506332895, 'mean': 0.80832924059651901}:
bestconf {'k': 7, 'up_to_num': [859, 643, 416, 524, 146, 740, 148, 99, 388, 903, 569, 578, 613, 113, 817, 415, 456, 376, 118, 241, 365, 926, 473, 10, 727, 660, 653, 149]} :
newbestscore {'mean_weighted': 0.84371997284699018, 'mean': 0.8225998271948719}:
bestconf {'k': 6, 'up_to_num': [697, 42, 763, 238, 156, 92, 803, 521, 535, 395, 626, 420, 439, 321, 752, 354, 431, 121, 60, 630, 447, 321, 773, 500, 530, 592, 53, 178]} :
^[[B^[[B^[[B^[[B^[[Bfinal bestescore %s: {'mean_weighted': 0.80419820506332895, 'mean': 0.80832924059651901}
final bestconf %s: {'k': 7, 'up_to_num': [859, 643, 416, 524, 146, 740, 148, 99, 388, 903, 569, 578, 613, 113, 817, 415, 456, 376, 118, 241, 365, 926, 473, 10, 727, 660, 653, 149]}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.84371997284699018, 'mean': 0.8225998271948719}
final bestconf %s: {'k': 6, 'up_to_num': [697, 42, 763, 238, 156, 92, 803, 521, 535, 395, 626, 420, 439, 321, 752, 354, 431, 121, 60, 630, 447, 321, 773, 500, 530, 592, 53, 178]}
DONE !!!!
newbestscore {'mean_weighted': 0.79812029006258334, 'mean': 0.84199359924376882}:
bestconf {'k': 2, 'up_to_num': [767, 179, 571, 782, 455, 558, 906, 598, 339, 861, 800, 715, 10, 273, 100, 594, 593, 523, 240, 466, 258, 828, 633, 630, 559, 426, 633, 10]} :
final bestescore %s: {'mean_weighted': 0.79812029006258334, 'mean': 0.84199359924376882}
final bestconf %s: {'k': 2, 'up_to_num': [767, 179, 571, 782, 455, 558, 906, 598, 339, 861, 800, 715, 10, 273, 100, 594, 593, 523, 240, 466, 258, 828, 633, 630, 559, 426, 633, 10]}
DONE !!!!
process 1 end: Nov 30 2015 18:10:18 
^[[A^[[A^[[Anewbestscore {'mean_weighted': 0.83826976076148385, 'mean': 0.85647418532361175}:
bestconf {'k': 5, 'up_to_num': [743, 554, 792, 10, 829, 258, 447, 806, 879, 879, 10, 736, 449, 428, 879, 73, 603, 555, 599, 798, 473, 620, 266, 629, 812, 643, 174, 65]} :
newbestscore {'mean_weighted': 0.86109486349263065, 'mean': 0.92624477966023155}:
bestconf {'k': 4, 'up_to_num': [784, 198, 517, 947, 683, 947, 947, 826, 499, 682, 942, 599, 158, 757, 184, 336, 691, 10, 151, 10, 240, 700, 214, 10, 189, 947, 74, 530]} :
final bestescore %s: {'mean_weighted': 0.86109486349263065, 'mean': 0.92624477966023155}
final bestconf %s: {'k': 4, 'up_to_num': [784, 198, 517, 947, 683, 947, 947, 826, 499, 682, 942, 599, 158, 757, 184, 336, 691, 10, 151, 10, 240, 700, 214, 10, 189, 947, 74, 530]}
DONE !!!!
newbestscore {'mean_weighted': 0.83888571294531156, 'mean': 0.85681461420203531}:
bestconf {'k': 8, 'up_to_num': [737, 561, 478, 124, 204, 10, 102, 551, 806, 16, 34, 218, 611, 879, 350, 10, 162, 506, 367, 422, 526, 807, 435, 333, 50, 445, 10, 517]} :
final bestescore %s: {'mean_weighted': 0.83888571294531156, 'mean': 0.85681461420203531}
final bestconf %s: {'k': 8, 'up_to_num': [737, 561, 478, 124, 204, 10, 102, 551, 806, 16, 34, 218, 611, 879, 350, 10, 162, 506, 367, 422, 526, 807, 435, 333, 50, 445, 10, 517]}
DONE !!!!
newbestscore {'mean_weighted': 0.85344277841008775, 'mean': 0.92536402306035836}:
bestconf {'k': 9, 'up_to_num': [347, 18, 753, 725, 741, 150, 325, 415, 808, 755, 148, 10, 214, 406, 625, 808, 459, 549, 290, 183, 50, 568, 245, 743, 50, 30, 10, 278]} :
final bestescore %s: {'mean_weighted': 0.85344277841008775, 'mean': 0.92536402306035836}
final bestconf %s: {'k': 9, 'up_to_num': [347, 18, 753, 725, 741, 150, 325, 415, 808, 755, 148, 10, 214, 406, 625, 808, 459, 549, 290, 183, 50, 568, 245, 743, 50, 30, 10, 278]}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.84242567369334131, 'mean': 0.85663920822937434}
final bestconf %s: {'k': 7, 'up_to_num': [575, 613, 880, 701, 225, 469, 481, 34, 860, 233, 310, 473, 603, 762, 874, 350, 158, 652, 248, 315, 453, 102, 488, 350, 504, 573, 643, 651]}
DONE !!!!
newbestscore {'mean_weighted': 0.84755078364946235, 'mean': 0.92284835817203881}:
bestconf {'k': 9, 'up_to_num': [420, 448, 741, 524, 913, 217, 62, 817, 751, 642, 244, 221, 778, 433, 737, 244, 10, 693, 265, 731, 422, 656, 276, 338, 781, 648, 795, 865]} :
newbestscore {'mean_weighted': 0.84843678423818325, 'mean': 0.92331038930616538}:
bestconf {'k': 9, 'up_to_num': [551, 445, 458, 10, 894, 149, 521, 552, 36, 240, 913, 216, 299, 610, 10, 760, 105, 19, 405, 263, 632, 816, 761, 695, 299, 270, 366, 804]} :
newbestscore {'mean_weighted': 0.84949552188838418, 'mean': 0.92363755397852876}:
bestconf {'k': 9, 'up_to_num': [551, 445, 721, 339, 894, 149, 521, 552, 36, 240, 913, 216, 299, 610, 19, 760, 105, 19, 405, 263, 632, 791, 128, 695, 892, 270, 366, 913]} :
newbestscore {'mean_weighted': 0.87403537257447128, 'mean': 0.9634972969766844}:
bestconf {'k': 4, 'up_to_num': [269, 484, 532, 321, 345, 867, 892, 892, 346, 614, 230, 173, 296, 889, 892, 423, 187, 108, 440, 254, 149, 704, 845, 892, 50, 222, 615, 718]} :
final bestescore %s: {'mean_weighted': 0.84949552188838418, 'mean': 0.92363755397852876}
final bestconf %s: {'k': 9, 'up_to_num': [551, 445, 721, 339, 894, 149, 521, 552, 36, 240, 913, 216, 299, 610, 19, 760, 105, 19, 405, 263, 632, 791, 128, 695, 892, 270, 366, 913]}
DONE !!!!
final bestescore %s: {'mean_weighted': 0.87403537257447128, 'mean': 0.9634972969766844}
final bestconf %s: {'k': 4, 'up_to_num': [269, 484, 532, 321, 345, 867, 892, 892, 346, 614, 230, 173, 296, 889, 892, 423, 187, 108, 440, 254, 149, 704, 845, 892, 50, 222, 615, 718]}
DONE !!!!
newbestscore {'mean_weighted': 0.84035294608326305, 'mean': 0.82638010089772274}:
bestconf {'k': 3, 'up_to_num': [426, 405, 14, 10, 246, 139, 783, 10, 81, 544, 485, 51, 611, 102, 813, 843, 728, 508, 501, 156, 902, 100, 786, 755, 10, 67, 755, 113]} :
final bestescore %s: {'mean_weighted': 0.83571742778613523, 'mean': 0.84944730234152299}
final bestconf %s: {'k': 6, 'up_to_num': [860, 449, 558, 439, 602, 522, 704, 562, 872, 295, 516, 506, 708, 165, 870, 572, 74, 639, 396, 553, 458, 209, 630, 393, 553, 338, 717, 532]}
DONE !!!!
process 2 end: Dec 01 2015 01:40:14 
final bestescore %s: {'mean_weighted': 0.84035294608326305, 'mean': 0.82638010089772274}
final bestconf %s: {'k': 3, 'up_to_num': [426, 405, 14, 10, 246, 139, 783, 10, 81, 544, 485, 51, 611, 102, 813, 843, 728, 508, 501, 156, 902, 100, 786, 755, 10, 67, 755, 113]}
DONE !!!!
newbestscore {'mean_weighted': 0.85602694522782552, 'mean': 0.89517240330919068}:
bestconf {'k': 2, 'up_to_num': [304, 666, 693, 198, 378, 764, 596, 323, 435, 215, 449, 454, 882, 183, 229, 925, 906, 563, 222, 708, 544, 10, 547, 487, 74, 756, 490, 307]} :
final bestescore %s: {'mean_weighted': 0.85602694522782552, 'mean': 0.89517240330919068}
final bestconf %s: {'k': 2, 'up_to_num': [304, 666, 693, 198, 378, 764, 596, 323, 435, 215, 449, 454, 882, 183, 229, 925, 906, 563, 222, 708, 544, 10, 547, 487, 74, 756, 490, 307]}
DONE !!!!
newbestscore {'mean_weighted': 0.85974066757064493, 'mean': 0.92573025839070244}:
bestconf {'k': 9, 'up_to_num': [184, 528, 337, 938, 385, 463, 313, 197, 819, 203, 552, 10, 947, 832, 435, 595, 531, 671, 643, 850, 947, 947, 795, 187, 940, 10, 26, 43]} :
final bestescore %s: {'mean_weighted': 0.85974066757064493, 'mean': 0.92573025839070244}
final bestconf %s: {'k': 9, 'up_to_num': [184, 528, 337, 938, 385, 463, 313, 197, 819, 203, 552, 10, 947, 832, 435, 595, 531, 671, 643, 850, 947, 947, 795, 187, 940, 10, 26, 43]}
DONE !!!!
process 3 end: Dec 01 2015 05:29:09 

rank ,                                          name ,    med   ,  iqr 
----------------------------------------------------
   1 ,                    NB_Naive_100_mean_weighted ,      44  ,    13 (-*       --    |              ), 0.42,  0.43,  0.44,  0.56,  0.59
   2 ,                   NB_Naive_1000_mean_weighted ,      59  ,     7 (       -- *  --|-             ), 0.53,  0.57,  0.59,  0.63,  0.69
   2 ,                    NB_Naive_400_mean_weighted ,      60  ,     8 (        -  *  -|--            ), 0.54,  0.57,  0.60,  0.64,  0.70
   2 ,                    NB_Naive_700_mean_weighted ,      63  ,     3 (             *-|---           ), 0.59,  0.60,  0.63,  0.63,  0.71
   2 ,               NB_TunedSmote_100_mean_weighted ,      65  ,     8 (       ----    * -            ), 0.53,  0.60,  0.66,  0.69,  0.70
   2 ,                    NB_Smote_100_mean_weighted ,      65  ,     9 (     -------   *-             ), 0.50,  0.61,  0.66,  0.68,  0.69
   2 ,             NB_TunedLearner_100_mean_weighted ,      67  ,     7 (     --------- |*--           ), 0.50,  0.65,  0.67,  0.69,  0.72
   3 ,                    NB_Smote_400_mean_weighted ,      79  ,     2 (               |  ----- *     ), 0.70,  0.79,  0.80,  0.80,  0.81
   3 ,               NB_TunedSmote_400_mean_weighted ,      79  ,     3 (               |    --- *     ), 0.73,  0.79,  0.80,  0.80,  0.81
   3 ,             NB_TunedLearner_400_mean_weighted ,      80  ,     1 (               |   ----- *    ), 0.72,  0.80,  0.81,  0.82,  0.83
   4 ,               NB_TunedSmote_700_mean_weighted ,      82  ,     1 (               |       -- *   ), 0.78,  0.82,  0.83,  0.84,  0.85
   4 ,                    NB_Smote_700_mean_weighted ,      84  ,     2 (               |       -- *   ), 0.78,  0.82,  0.84,  0.84,  0.84
   4 ,              NB_TunedSmote_1000_mean_weighted ,      84  ,     2 (               |       --- *  ), 0.78,  0.83,  0.84,  0.85,  0.86
   4 ,             NB_TunedLearner_700_mean_weighted ,      85  ,     2 (               |        ---*- ), 0.80,  0.85,  0.85,  0.87,  0.87
   4 ,                   NB_Smote_1000_mean_weighted ,      84  ,     2 (               |        ---*- ), 0.79,  0.84,  0.85,  0.86,  0.87
   4 ,            NB_TunedLearner_1000_mean_weighted ,      86  ,     1 (               |       -----* ), 0.79,  0.86,  0.86,  0.88,  0.89
process 0 end: Dec 01 2015 05:29:11