10330581
8323
Heinrich Peters
146825
Supervised Classification
12736
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)
8157043
l2_regularization
0.01
12677
learning_rate
1.0
12677
loss
"auto"
12677
max_bins
8
12677
max_depth
4
12677
max_iter
400
12677
max_leaf_nodes
32
12677
min_samples_leaf
12
12677
n_iter_no_change
null
12677
random_state
33325
12677
scoring
null
12677
tol
1e-07
12677
validation_fraction
0.2
12677
verbose
0
12677
memory
null
12736
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "histgradientboostingclassifier", "step_name": "histgradientboostingclassifier"}}]
12736
verbose
false
12736
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
openml-python
Sklearn_0.21.2.
40996
Fashion-MNIST
https://www.openml.org/data/download/18238735/phpnBqZGZ
-1
21582861
description
https://api.openml.org/data/download/21582861/description.xml
-1
21582862
predictions
https://api.openml.org/data/download/21582862/predictions.arff
area_under_roc_curve
0.7147536883219956 [0.709259,0.812083,0.628995,0.704045,0.670515,0.765529,0.578598,0.75127,0.73824,0.789002]
average_cost
0
f_measure
0.48811238330419177 [0.484255,0.675692,0.335187,0.467698,0.397833,0.560332,0.239274,0.589136,0.518708,0.613007]
kappa
0.42887301587301585
kb_relative_information_score
0.4624657034031031
mean_absolute_error
0.10280286038995666
mean_prior_absolute_error
0.1800000000001732
number_of_instances
70000 [7000,7000,7000,7000,7000,7000,7000,7000,7000,7000]
precision
0.4924513962915787 [0.499242,0.700675,0.343478,0.468974,0.382516,0.535626,0.228952,0.658489,0.503633,0.602929]
predictive_accuracy
0.48598571428571424
prior_entropy
3.321928094891228
recall
0.4859857142857143 [0.470143,0.652429,0.327286,0.466429,0.414429,0.587429,0.250571,0.533,0.534714,0.623429]
relative_absolute_error
0.5711270021658763
root_mean_prior_squared_error
0.3000000000001443
root_mean_squared_error
0.3206288463810257
root_relative_squared_error
1.0687628212695715
total_cost
0
area_under_roc_curve
0.7126395238095239 [0.632567,0.801111,0.673968,0.718769,0.66413,0.756356,0.522549,0.824603,0.739802,0.79254]
area_under_roc_curve
0.7395485941043084 [0.784091,0.913333,0.684399,0.769968,0.670305,0.72754,0.613047,0.551032,0.802962,0.87881]
area_under_roc_curve
0.6433614058956916 [0.608729,0.874274,0.489841,0.609524,0.677709,0.708057,0.555556,0.577698,0.722778,0.609449]
area_under_roc_curve
0.6609721995464851 [0.536663,0.808538,0.626984,0.506587,0.69345,0.78073,0.512078,0.821667,0.536259,0.786766]
area_under_roc_curve
0.7168515646258503 [0.820745,0.898492,0.573254,0.75746,0.648492,0.763968,0.569707,0.691327,0.710664,0.734406]
area_under_roc_curve
0.7504749773242632 [0.740079,0.812745,0.724982,0.742217,0.619786,0.778968,0.61719,0.81373,0.794813,0.860238]
area_under_roc_curve
0.7095217573696146 [0.713847,0.499207,0.67177,0.716985,0.554278,0.792849,0.628766,0.853571,0.841406,0.82254]
area_under_roc_curve
0.7445315873015872 [0.812619,0.831959,0.609354,0.795131,0.776008,0.783774,0.518429,0.83839,0.769811,0.709841]
area_under_roc_curve
0.698293866213152 [0.702418,0.803804,0.55254,0.667288,0.636729,0.750794,0.612487,0.687335,0.699365,0.870179]
area_under_roc_curve
0.7712835260770978 [0.740756,0.876966,0.682937,0.756561,0.764334,0.812222,0.63609,0.853391,0.7645,0.825079]
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
0.48117590315819697 [0.337625,0.653001,0.376777,0.497469,0.385396,0.595778,0.13112,0.646053,0.569157,0.619382]
f_measure
0.5162593462910515 [0.596273,0.843081,0.432665,0.573204,0.409621,0.453006,0.307346,0.187148,0.612434,0.747814]
f_measure
0.3537205819848991 [0.304731,0.763713,0.079826,0.317241,0.400524,0.415541,0.2,0.258675,0.516129,0.280826]
f_measure
0.3800729529164081 [0.148148,0.590038,0.332353,0.117014,0.429894,0.619822,0.107926,0.660261,0.172727,0.622545]
f_measure
0.49335898695916075 [0.609711,0.840623,0.248112,0.601896,0.368611,0.546896,0.218163,0.514392,0.462264,0.522923]
f_measure
0.5456678014868016 [0.517406,0.643347,0.465377,0.509235,0.354528,0.618587,0.3177,0.682999,0.603344,0.744153]
f_measure
0.4622189028331591 [0.512941,0.013175,0.385101,0.474074,0.194152,0.618614,0.274351,0.730742,0.711648,0.707391]
f_measure
0.5232944981048652 [0.655876,0.724943,0.33923,0.594383,0.458178,0.597367,0.100535,0.710602,0.569273,0.482558]
f_measure
0.453377613943902 [0.464618,0.604288,0.194602,0.40438,0.344428,0.548936,0.303428,0.461781,0.455571,0.751743]
f_measure
0.5929503142167755 [0.541728,0.809023,0.435165,0.583587,0.479489,0.65678,0.347762,0.757238,0.601838,0.716895]
kappa
0.4252380952380952
kappa
0.4787301587301587
kappa
0.28619047619047616
kappa
0.3196825396825397
kappa
0.4331746031746032
kappa
0.5004761904761904
kappa
0.41888888888888887
kappa
0.4887301587301587
kappa
0.39555555555555555
kappa
0.542063492063492
kb_relative_information_score
0.4590445895256797
kb_relative_information_score
0.5093903429998679
kb_relative_information_score
0.32817550927835126
kb_relative_information_score
0.3596976279223981
kb_relative_information_score
0.4665142858868603
kb_relative_information_score
0.5298573110293935
kb_relative_information_score
0.4530688324367638
kb_relative_information_score
0.5188021598683515
kb_relative_information_score
0.4311078551308659
kb_relative_information_score
0.5689985199618043
mean_absolute_error
0.10345714285714681
mean_absolute_error
0.09382857142857319
mean_absolute_error
0.12848571428572392
mean_absolute_error
0.12245714285715209
mean_absolute_error
0.10202857142857506
mean_absolute_error
0.08991428571428658
mean_absolute_error
0.10460000000000422
mean_absolute_error
0.0920285716802695
mean_absolute_error
0.10880003221992433
mean_absolute_error
0.08242857142857055
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
0.48630951834977115 [0.338109,0.66967,0.321862,0.50366,0.365854,0.658031,0.156436,0.59878,0.641577,0.609116]
precision
0.5252417205107949 [0.576769,0.84188,0.433908,0.554813,0.418155,0.383021,0.323344,0.44385,0.570197,0.70648]
precision
0.37521491954507186 [0.347349,0.752078,0.081121,0.4,0.369565,0.342937,0.18642,0.49004,0.543444,0.239196]
precision
0.38596169964378957 [0.285714,0.533487,0.342424,0.110546,0.400246,0.642638,0.131687,0.635403,0.143396,0.634074]
precision
0.5334447834060005 [0.535059,0.873652,0.506608,0.673145,0.371553,0.5086,0.169158,0.734748,0.4375,0.524425]
precision
0.5543891578278842 [0.495425,0.618734,0.413068,0.473039,0.544379,0.644961,0.337621,0.710974,0.567296,0.738397]
precision
0.4960180864317958 [0.568696,0.084746,0.345023,0.448408,0.535484,0.60631,0.19161,0.723077,0.707627,0.749201]
precision
0.5456397626611603 [0.646325,0.767145,0.624521,0.547533,0.339532,0.580081,0.2,0.712644,0.547493,0.491124]
precision
0.4529277581123092 [0.46495,0.554231,0.193503,0.413433,0.348974,0.54507,0.309985,0.514938,0.449861,0.734332]
precision
0.6072621637078482 [0.555556,0.853968,0.446617,0.623377,0.382328,0.649441,0.357466,0.788253,0.648515,0.767101]
predictive_accuracy
0.4827142857142857
predictive_accuracy
0.5308571428571429
predictive_accuracy
0.3575714285714286
predictive_accuracy
0.38771428571428573
predictive_accuracy
0.4898571428571429
predictive_accuracy
0.5504285714285715
predictive_accuracy
0.47700000000000004
predictive_accuracy
0.5398571428571429
predictive_accuracy
0.456
predictive_accuracy
0.5878571428571429
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
0.4827142857142857 [0.337143,0.637143,0.454286,0.491429,0.407143,0.544286,0.112857,0.701429,0.511429,0.63]
recall
0.5308571428571428 [0.617143,0.844286,0.431429,0.592857,0.401429,0.554286,0.292857,0.118571,0.661429,0.794286]
recall
0.3575714285714286 [0.271429,0.775714,0.078571,0.262857,0.437143,0.527143,0.215714,0.175714,0.491429,0.34]
recall
0.38771428571428573 [0.1,0.66,0.322857,0.124286,0.464286,0.598571,0.091429,0.687143,0.217143,0.611429]
recall
0.4898571428571429 [0.708571,0.81,0.164286,0.544286,0.365714,0.591429,0.307143,0.395714,0.49,0.521429]
recall
0.5504285714285714 [0.541429,0.67,0.532857,0.551429,0.262857,0.594286,0.3,0.657143,0.644286,0.75]
recall
0.477 [0.467143,0.007143,0.435714,0.502857,0.118571,0.631429,0.482857,0.738571,0.715714,0.67]
recall
0.5398571428571428 [0.665714,0.687143,0.232857,0.65,0.704286,0.615714,0.067143,0.708571,0.592857,0.474286]
recall
0.456 [0.464286,0.664286,0.195714,0.395714,0.34,0.552857,0.297143,0.418571,0.461429,0.77]
recall
0.5878571428571429 [0.528571,0.768571,0.424286,0.548571,0.642857,0.664286,0.338571,0.728571,0.561429,0.672857]
relative_absolute_error
0.5747619047619458
relative_absolute_error
0.5212698412698683
relative_absolute_error
0.7138095238096009
relative_absolute_error
0.6803174603175342
relative_absolute_error
0.5668253968254359
relative_absolute_error
0.49952380952383096
relative_absolute_error
0.5811111111111539
relative_absolute_error
0.5112698426681809
relative_absolute_error
0.6044446234440441
relative_absolute_error
0.4579365079365183
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
0.32164754445999866
root_mean_squared_error
0.3063144975814452
root_mean_squared_error
0.35844904001227834
root_mean_squared_error
0.3499387699434348
root_mean_squared_error
0.31941911562800224
root_mean_squared_error
0.29985710882733224
root_mean_squared_error
0.3234192325759311
root_mean_squared_error
0.3033621127111527
root_mean_squared_error
0.32984845010391506
root_mean_squared_error
0.2871037642187411
root_relative_squared_error
1.0721584815333467
root_relative_squared_error
1.0210483252715008
root_relative_squared_error
1.1948301333742808
root_relative_squared_error
1.1664625664781354
root_relative_squared_error
1.0647303854266916
root_relative_squared_error
0.9995236960911239
root_relative_squared_error
1.0780641085864549
root_relative_squared_error
1.0112070423705257
root_relative_squared_error
1.0994948336797348
root_relative_squared_error
0.9570125473958195
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
112476.43150301883
usercpu_time_millis
112567.83983996138
usercpu_time_millis
100420.56765398593
usercpu_time_millis
119004.45166300051
usercpu_time_millis
139373.16671200097
usercpu_time_millis
137642.60871201986
usercpu_time_millis
127999.9769780261
usercpu_time_millis
149427.07510100445
usercpu_time_millis
87765.51403102349
usercpu_time_millis
150799.23068900825
usercpu_time_millis_testing
490.3000660124235
usercpu_time_millis_testing
253.22187299025245
usercpu_time_millis_testing
266.3970119901933
usercpu_time_millis_testing
288.0183599772863
usercpu_time_millis_testing
303.3797370153479
usercpu_time_millis_testing
296.22350601130165
usercpu_time_millis_testing
262.39607902243733
usercpu_time_millis_testing
293.33207799936645
usercpu_time_millis_testing
260.715260024881
usercpu_time_millis_testing
288.9635619940236
usercpu_time_millis_training
111986.1314370064
usercpu_time_millis_training
112314.61796697113
usercpu_time_millis_training
100154.17064199573
usercpu_time_millis_training
118716.43330302322
usercpu_time_millis_training
139069.78697498562
usercpu_time_millis_training
137346.38520600856
usercpu_time_millis_training
127737.58089900366
usercpu_time_millis_training
149133.74302300508
usercpu_time_millis_training
87504.7987709986
usercpu_time_millis_training
150510.26712701423
wall_clock_time_millis
112478.47890853882
wall_clock_time_millis
112569.77915763855
wall_clock_time_millis
100422.32298851013
wall_clock_time_millis
119006.88433647156
wall_clock_time_millis
139375.87428092957
wall_clock_time_millis
137645.09892463684
wall_clock_time_millis
128048.31838607788
wall_clock_time_millis
149429.8174381256
wall_clock_time_millis
87767.26341247559
wall_clock_time_millis
150802.14071273804
wall_clock_time_millis_testing
490.3137683868408
wall_clock_time_millis_testing
253.2331943511963
wall_clock_time_millis_testing
266.40892028808594
wall_clock_time_millis_testing
288.03038597106934
wall_clock_time_millis_testing
303.3907413482666
wall_clock_time_millis_testing
296.2346076965332
wall_clock_time_millis_testing
262.406587600708
wall_clock_time_millis_testing
293.34259033203125
wall_clock_time_millis_testing
260.7254981994629
wall_clock_time_millis_testing
288.9745235443115
wall_clock_time_millis_training
111988.16514015198
wall_clock_time_millis_training
112316.54596328735
wall_clock_time_millis_training
100155.91406822205
wall_clock_time_millis_training
118718.85395050049
wall_clock_time_millis_training
139072.4835395813
wall_clock_time_millis_training
137348.8643169403
wall_clock_time_millis_training
127785.91179847717
wall_clock_time_millis_training
149136.47484779358
wall_clock_time_millis_training
87506.53791427612
wall_clock_time_millis_training
150513.16618919373