10398517
9667
Sila Guler
146825
Supervised Classification
17292
sklearn.ensemble.forest.RandomForestClassifier(57)
8236286
bootstrap
true
17292
class_weight
null
17292
criterion
"gini"
17292
max_depth
9
17292
max_features
"auto"
17292
max_leaf_nodes
null
17292
min_impurity_decrease
0.0
17292
min_impurity_split
null
17292
min_samples_leaf
1
17292
min_samples_split
2
17292
min_weight_fraction_leaf
0.0
17292
n_estimators
7
17292
n_jobs
null
17292
oob_score
false
17292
random_state
64681
17292
verbose
0
17292
warm_start
false
17292
openml-python
Sklearn_0.21.3.
40996
Fashion-MNIST
https://www.openml.org/data/download/18238735/phpnBqZGZ
-1
21718789
description
https://api.openml.org/data/download/21718789/description.xml
-1
21718790
predictions
https://api.openml.org/data/download/21718790/predictions.arff
area_under_roc_curve
0.9827198716553288 [0.983166,0.997229,0.969237,0.988286,0.969135,0.996793,0.935706,0.99488,0.996048,0.996718]
average_cost
0
f_measure
0.8277263453923057 [0.799779,0.963305,0.710656,0.840142,0.717061,0.932393,0.549016,0.89556,0.949039,0.920311]
kappa
0.8121904761904762
kb_relative_information_score
0.7853251550653481
mean_absolute_error
0.06213849957574261
mean_prior_absolute_error
0.1800000000001732
number_of_instances
70000 [7000,7000,7000,7000,7000,7000,7000,7000,7000,7000]
precision
0.8311996172817494 [0.774168,0.990492,0.702232,0.791956,0.667076,0.960048,0.688726,0.879702,0.945674,0.911921]
predictive_accuracy
0.8309714285714286
prior_entropy
3.321928094891228
recall
0.8309714285714286 [0.827143,0.937571,0.719286,0.894571,0.775143,0.906286,0.456429,0.912,0.952429,0.928857]
relative_absolute_error
0.34521388653157126
root_mean_prior_squared_error
0.3000000000001443
root_mean_squared_error
0.15969553464565825
root_relative_squared_error
0.5323184488186048
total_cost
0
area_under_roc_curve
0.982398775510204 [0.985029,0.996001,0.966507,0.987415,0.965623,0.995683,0.941454,0.994841,0.995725,0.995709]
area_under_roc_curve
0.9825997732426305 [0.982603,0.998197,0.96813,0.987448,0.966845,0.997067,0.937403,0.995283,0.995931,0.997089]
area_under_roc_curve
0.9822917460317461 [0.981645,0.997322,0.96935,0.988632,0.969327,0.998091,0.929805,0.996428,0.995904,0.996413]
area_under_roc_curve
0.9836281519274378 [0.984848,0.998344,0.973464,0.987123,0.972194,0.995972,0.936967,0.994255,0.996506,0.996609]
area_under_roc_curve
0.983129716553288 [0.980461,0.99838,0.969114,0.990227,0.969763,0.99765,0.936631,0.994535,0.997573,0.996962]
area_under_roc_curve
0.9829380272108845 [0.982319,0.99651,0.969641,0.987512,0.970041,0.996885,0.938987,0.995138,0.994931,0.997416]
area_under_roc_curve
0.9836557482993198 [0.987024,0.997588,0.968788,0.987991,0.970732,0.997323,0.938859,0.995219,0.996051,0.996982]
area_under_roc_curve
0.9814408956916101 [0.98249,0.997841,0.964526,0.988687,0.965526,0.996102,0.933372,0.993748,0.995746,0.99637]
area_under_roc_curve
0.9831842403628118 [0.980557,0.994615,0.974336,0.99038,0.972918,0.996726,0.93369,0.994232,0.997446,0.996941]
area_under_roc_curve
0.9824388888888889 [0.985132,0.997731,0.969152,0.98797,0.969486,0.996563,0.931266,0.995344,0.994827,0.996919]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.8254411524686491 [0.81203,0.957871,0.707198,0.834887,0.701522,0.932551,0.542432,0.893557,0.947969,0.924394]
f_measure
0.8276149631536839 [0.794219,0.965517,0.708807,0.829009,0.705017,0.935766,0.558574,0.906294,0.949104,0.923843]
f_measure
0.8257277119390567 [0.785814,0.969388,0.703757,0.834551,0.720579,0.938001,0.513652,0.905396,0.95584,0.930299]
f_measure
0.8297914359998864 [0.806158,0.963289,0.726508,0.840347,0.723658,0.935578,0.557823,0.887482,0.93892,0.918149]
f_measure
0.8301416236152931 [0.788555,0.966276,0.698678,0.851178,0.72,0.945588,0.572183,0.894251,0.95218,0.912526]
f_measure
0.8273905668657298 [0.796143,0.960886,0.709025,0.827169,0.72129,0.922287,0.565553,0.895397,0.953405,0.92275]
f_measure
0.8300630641012049 [0.828311,0.964207,0.713699,0.84052,0.71039,0.934718,0.548951,0.897275,0.944365,0.918195]
f_measure
0.8222080737329601 [0.790244,0.967177,0.691376,0.837675,0.711436,0.918562,0.559933,0.881857,0.954089,0.909732]
f_measure
0.8270350782044864 [0.77973,0.954412,0.738044,0.856759,0.732226,0.928571,0.519931,0.887029,0.951443,0.922207]
f_measure
0.8319023651915913 [0.816882,0.963891,0.709408,0.849629,0.724559,0.932253,0.55102,0.907042,0.943101,0.921238]
kappa
0.8098412698412698
kappa
0.8115873015873015
kappa
0.8107936507936508
kappa
0.8141269841269841
kappa
0.8149206349206349
kappa
0.8112698412698414
kappa
0.8146031746031747
kappa
0.8053968253968253
kappa
0.8125396825396826
kappa
0.8168253968253969
kb_relative_information_score
0.7867590542752135
kb_relative_information_score
0.7849274769924897
kb_relative_information_score
0.7862485296758982
kb_relative_information_score
0.7867823219885137
kb_relative_information_score
0.7857062669670992
kb_relative_information_score
0.7839700555882758
kb_relative_information_score
0.7878468487129708
kb_relative_information_score
0.7780631587844331
kb_relative_information_score
0.7864529159911412
kb_relative_information_score
0.7864949216873023
mean_absolute_error
0.06162445123916344
mean_absolute_error
0.062105202430469346
mean_absolute_error
0.06174431640433135
mean_absolute_error
0.061999078429803935
mean_absolute_error
0.062453240462444895
mean_absolute_error
0.06264910913061987
mean_absolute_error
0.061797562884256585
mean_absolute_error
0.06336555250577569
mean_absolute_error
0.06199671205539912
mean_absolute_error
0.06164977021514587
mean_prior_absolute_error
0.17999999999999403
mean_prior_absolute_error
0.17999999999999403
mean_prior_absolute_error
0.17999999999999403
mean_prior_absolute_error
0.17999999999999403
mean_prior_absolute_error
0.17999999999999403
mean_prior_absolute_error
0.17999999999999403
mean_prior_absolute_error
0.17999999999999403
mean_prior_absolute_error
0.17999999999999403
mean_prior_absolute_error
0.17999999999999403
mean_prior_absolute_error
0.17999999999999403
number_of_instances
7000 [700,700,700,700,700,700,700,700,700,700]
number_of_instances
7000 [700,700,700,700,700,700,700,700,700,700]
number_of_instances
7000 [700,700,700,700,700,700,700,700,700,700]
number_of_instances
7000 [700,700,700,700,700,700,700,700,700,700]
number_of_instances
7000 [700,700,700,700,700,700,700,700,700,700]
number_of_instances
7000 [700,700,700,700,700,700,700,700,700,700]
number_of_instances
7000 [700,700,700,700,700,700,700,700,700,700]
number_of_instances
7000 [700,700,700,700,700,700,700,700,700,700]
number_of_instances
7000 [700,700,700,700,700,700,700,700,700,700]
number_of_instances
7000 [700,700,700,700,700,700,700,700,700,700]
precision
0.8301363170621514 [0.778506,0.992343,0.692202,0.781796,0.653514,0.957831,0.699774,0.876374,0.945946,0.923077]
precision
0.8308020252682516 [0.766268,0.992459,0.704802,0.775841,0.662893,0.956716,0.688285,0.887671,0.952518,0.920567]
precision
0.8278794130525716 [0.765583,0.989583,0.711988,0.780124,0.667479,0.958271,0.637712,0.888583,0.953125,0.926346]
precision
0.8329681208762695 [0.790123,0.990937,0.713499,0.78921,0.674907,0.959459,0.689076,0.873961,0.933616,0.914894]
precision
0.8355244347667791 [0.770805,0.99247,0.68114,0.805096,0.665455,0.974242,0.745413,0.888575,0.937673,0.894376]
precision
0.8319427089317014 [0.768617,0.993893,0.716788,0.781449,0.657647,0.947289,0.706638,0.874659,0.956835,0.915612]
precision
0.8350410423424646 [0.81293,0.986547,0.685526,0.806833,0.65119,0.972222,0.707207,0.878249,0.94302,0.906685]
precision
0.824817035426988 [0.771429,0.988077,0.6899,0.7867,0.665423,0.944193,0.677485,0.868421,0.958213,0.898329]
precision
0.8301443615671729 [0.739744,0.983333,0.737518,0.809403,0.684472,0.968944,0.660793,0.866485,0.937587,0.913165]
precision
0.8346123541612814 [0.780234,0.995434,0.692517,0.804598,0.689922,0.962006,0.680672,0.894444,0.939093,0.907202]
predictive_accuracy
0.8288571428571428
predictive_accuracy
0.8304285714285714
predictive_accuracy
0.8297142857142857
predictive_accuracy
0.8327142857142857
predictive_accuracy
0.8334285714285714
predictive_accuracy
0.8301428571428572
predictive_accuracy
0.8331428571428572
predictive_accuracy
0.8248571428571428
predictive_accuracy
0.8312857142857143
predictive_accuracy
0.8351428571428572
prior_entropy
3.3219280948870473
prior_entropy
3.3219280948870473
prior_entropy
3.3219280948870473
prior_entropy
3.3219280948870473
prior_entropy
3.3219280948870473
prior_entropy
3.3219280948870473
prior_entropy
3.3219280948870473
prior_entropy
3.3219280948870473
prior_entropy
3.3219280948870473
prior_entropy
3.3219280948870473
recall
0.8288571428571428 [0.848571,0.925714,0.722857,0.895714,0.757143,0.908571,0.442857,0.911429,0.95,0.925714]
recall
0.8304285714285714 [0.824286,0.94,0.712857,0.89,0.752857,0.915714,0.47,0.925714,0.945714,0.927143]
recall
0.8297142857142857 [0.807143,0.95,0.695714,0.897143,0.782857,0.918571,0.43,0.922857,0.958571,0.934286]
recall
0.8327142857142857 [0.822857,0.937143,0.74,0.898571,0.78,0.912857,0.468571,0.901429,0.944286,0.921429]
recall
0.8334285714285714 [0.807143,0.941429,0.717143,0.902857,0.784286,0.918571,0.464286,0.9,0.967143,0.931429]
recall
0.8301428571428572 [0.825714,0.93,0.701429,0.878571,0.798571,0.898571,0.471429,0.917143,0.95,0.93]
recall
0.8331428571428572 [0.844286,0.942857,0.744286,0.877143,0.781429,0.9,0.448571,0.917143,0.945714,0.93]
recall
0.8248571428571428 [0.81,0.947143,0.692857,0.895714,0.764286,0.894286,0.477143,0.895714,0.95,0.921429]
recall
0.8312857142857143 [0.824286,0.927143,0.738571,0.91,0.787143,0.891429,0.428571,0.908571,0.965714,0.931429]
recall
0.8351428571428572 [0.857143,0.934286,0.727143,0.9,0.762857,0.904286,0.462857,0.92,0.947143,0.935714]
relative_absolute_error
0.3423580624398083
relative_absolute_error
0.3450289023915078
relative_absolute_error
0.3430239800240744
relative_absolute_error
0.3444393246100333
relative_absolute_error
0.34696244701359424
relative_absolute_error
0.3480506062812331
relative_absolute_error
0.34331979380143685
relative_absolute_error
0.35203084725432104
relative_absolute_error
0.3444261780855621
relative_absolute_error
0.3424987234174884
root_mean_prior_squared_error
0.29999999999999505
root_mean_prior_squared_error
0.29999999999999505
root_mean_prior_squared_error
0.29999999999999505
root_mean_prior_squared_error
0.29999999999999505
root_mean_prior_squared_error
0.29999999999999505
root_mean_prior_squared_error
0.29999999999999505
root_mean_prior_squared_error
0.29999999999999505
root_mean_prior_squared_error
0.29999999999999505
root_mean_prior_squared_error
0.29999999999999505
root_mean_prior_squared_error
0.29999999999999505
root_mean_squared_error
0.1593705301256748
root_mean_squared_error
0.15960245086327554
root_mean_squared_error
0.15904939214242222
root_mean_squared_error
0.1590652789188605
root_mean_squared_error
0.15975064673238693
root_mean_squared_error
0.16037305812983937
root_mean_squared_error
0.15857775671691882
root_mean_squared_error
0.16215317920544384
root_mean_squared_error
0.15986479752118313
root_mean_squared_error
0.15911995073367569
root_relative_squared_error
0.5312351004189247
root_relative_squared_error
0.5320081695442606
root_relative_squared_error
0.5301646404747494
root_relative_squared_error
0.5302175963962104
root_relative_squared_error
0.5325021557746319
root_relative_squared_error
0.5345768604328067
root_relative_squared_error
0.5285925223897381
root_relative_squared_error
0.5405105973514883
root_relative_squared_error
0.5328826584039525
root_relative_squared_error
0.5303998357789277
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
3046.875
usercpu_time_millis
3031.25
usercpu_time_millis
3078.125
usercpu_time_millis
3062.5
usercpu_time_millis
3062.5
usercpu_time_millis
3046.875
usercpu_time_millis
3031.25
usercpu_time_millis
3125
usercpu_time_millis
3031.25
usercpu_time_millis
3046.875
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
3031.25
usercpu_time_millis_training
3015.625
usercpu_time_millis_training
3062.5
usercpu_time_millis_training
3046.875
usercpu_time_millis_training
3046.875
usercpu_time_millis_training
3031.25
usercpu_time_millis_training
3015.625
usercpu_time_millis_training
3109.375
usercpu_time_millis_training
3015.625
usercpu_time_millis_training
3031.25
wall_clock_time_millis
3047.9001998901367
wall_clock_time_millis
3036.88907623291
wall_clock_time_millis
3086.793899536133
wall_clock_time_millis
3059.7894191741943
wall_clock_time_millis
3065.812110900879
wall_clock_time_millis
3043.872356414795
wall_clock_time_millis
3041.8753623962402
wall_clock_time_millis
3126.649856567383
wall_clock_time_millis
3025.91609954834
wall_clock_time_millis
3062.8178119659424
wall_clock_time_millis_testing
15.996932983398438
wall_clock_time_millis_testing
15.957832336425781
wall_clock_time_millis_testing
15.96832275390625
wall_clock_time_millis_testing
15.957117080688477
wall_clock_time_millis_testing
15.95759391784668
wall_clock_time_millis_testing
15.957832336425781
wall_clock_time_millis_testing
15.930414199829102
wall_clock_time_millis_testing
15.956878662109375
wall_clock_time_millis_testing
15.945911407470703
wall_clock_time_millis_testing
15.929698944091797
wall_clock_time_millis_training
3031.9032669067383
wall_clock_time_millis_training
3020.9312438964844
wall_clock_time_millis_training
3070.8255767822266
wall_clock_time_millis_training
3043.832302093506
wall_clock_time_millis_training
3049.854516983032
wall_clock_time_millis_training
3027.914524078369
wall_clock_time_millis_training
3025.944948196411
wall_clock_time_millis_training
3110.6929779052734
wall_clock_time_millis_training
3009.970188140869
wall_clock_time_millis_training
3046.8881130218506