10327527
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)
8157367
l2_regularization
0.1
12677
learning_rate
0.01
12677
loss
"auto"
12677
max_bins
4
12677
max_depth
18
12677
max_iter
200
12677
max_leaf_nodes
4
12677
min_samples_leaf
39
12677
n_iter_no_change
null
12677
random_state
15428
12677
scoring
null
12677
tol
1e-07
12677
validation_fraction
0.1
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
21576740
description
https://api.openml.org/data/download/21576740/description.xml
-1
21576741
predictions
https://api.openml.org/data/download/21576741/predictions.arff
area_under_roc_curve
0.9792635172335602 [0.978543,0.996004,0.965763,0.983648,0.964336,0.994266,0.929567,0.991985,0.993137,0.995385]
average_cost
0
f_measure
0.8056000604090734 [0.774559,0.94072,0.700532,0.803558,0.695786,0.898464,0.54469,0.871875,0.919691,0.906125]
kappa
0.7856190476190476
kb_relative_information_score
0.7298218175517893
mean_absolute_error
0.07584748352379776
mean_prior_absolute_error
0.1800000000001732
number_of_instances
70000 [7000,7000,7000,7000,7000,7000,7000,7000,7000,7000]
precision
0.808074341327314 [0.77757,0.983934,0.662088,0.74581,0.680033,0.915863,0.627093,0.866949,0.929144,0.892259]
predictive_accuracy
0.8070571428571428
prior_entropy
3.321928094891228
recall
0.8070571428571428 [0.771571,0.901143,0.743714,0.871,0.712286,0.881714,0.481429,0.876857,0.910429,0.920429]
relative_absolute_error
0.4213749084651377
root_mean_prior_squared_error
0.3000000000001443
root_mean_squared_error
0.17145488577921697
root_relative_squared_error
0.5715162859304482
total_cost
0
area_under_roc_curve
0.9793268934240362 [0.980376,0.995691,0.960824,0.984073,0.960152,0.993762,0.939226,0.992443,0.991442,0.99528]
area_under_roc_curve
0.9796573922902496 [0.978748,0.997608,0.964898,0.984246,0.965896,0.994624,0.929448,0.992914,0.992827,0.995366]
area_under_roc_curve
0.978372857142857 [0.975691,0.995368,0.964162,0.983318,0.965112,0.995011,0.922895,0.993494,0.992681,0.995995]
area_under_roc_curve
0.979267006802721 [0.980499,0.996883,0.967705,0.981254,0.964293,0.99461,0.92943,0.989971,0.992749,0.995275]
area_under_roc_curve
0.979195918367347 [0.974276,0.996511,0.967295,0.984071,0.966538,0.995714,0.925829,0.991645,0.994526,0.995554]
area_under_roc_curve
0.9792609750566892 [0.978139,0.994493,0.966816,0.982353,0.964851,0.993647,0.931645,0.992324,0.991866,0.996477]
area_under_roc_curve
0.9799099773242631 [0.98266,0.995387,0.964642,0.983517,0.964196,0.994418,0.932902,0.991894,0.99475,0.994734]
area_under_roc_curve
0.9784869160997732 [0.978024,0.99501,0.962849,0.983819,0.964251,0.993929,0.92985,0.991138,0.991488,0.994512]
area_under_roc_curve
0.9793368253968253 [0.974712,0.996692,0.971745,0.987171,0.964541,0.992795,0.924843,0.99143,0.993761,0.99568]
area_under_roc_curve
0.9799534013605441 [0.98247,0.996424,0.966908,0.982923,0.963527,0.994198,0.929796,0.992771,0.995395,0.995122]
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
0.8058200806543505 [0.783726,0.940653,0.676821,0.805007,0.691393,0.907112,0.564687,0.878118,0.915205,0.89548]
f_measure
0.8047031093015713 [0.772695,0.946349,0.693767,0.813582,0.692255,0.895197,0.538272,0.86662,0.918175,0.91012]
f_measure
0.8071235515159356 [0.769341,0.93423,0.697959,0.802104,0.70442,0.906433,0.518397,0.894958,0.930565,0.912828]
f_measure
0.7987253892216015 [0.772434,0.945022,0.69536,0.786517,0.688143,0.896151,0.533225,0.86202,0.908029,0.900353]
f_measure
0.8050214538863072 [0.754745,0.94003,0.712221,0.809993,0.716207,0.902616,0.535073,0.863768,0.921444,0.894118]
f_measure
0.805761250971381 [0.783039,0.932039,0.699042,0.799731,0.683916,0.891002,0.558544,0.874822,0.922855,0.912621]
f_measure
0.807427614590476 [0.787436,0.947212,0.694611,0.791064,0.682961,0.903179,0.560643,0.877595,0.919075,0.9105]
f_measure
0.8043278642251371 [0.773256,0.936709,0.70068,0.800523,0.696317,0.895697,0.546474,0.865208,0.920863,0.907551]
f_measure
0.8036807238619599 [0.757532,0.941791,0.726295,0.823834,0.704561,0.884644,0.513115,0.86335,0.916185,0.905501]
f_measure
0.8131038903070824 [0.790928,0.943114,0.708672,0.8029,0.69814,0.902386,0.576378,0.872051,0.924188,0.912281]
kappa
0.7852380952380953
kappa
0.7849206349206349
kappa
0.7880952380952381
kappa
0.7776190476190475
kappa
0.7857142857142857
kappa
0.7853968253968253
kappa
0.786984126984127
kappa
0.7841269841269841
kappa
0.7847619047619048
kappa
0.7933333333333332
kb_relative_information_score
0.7295767247029914
kb_relative_information_score
0.7316320219605806
kb_relative_information_score
0.7308840717086831
kb_relative_information_score
0.7276416945141166
kb_relative_information_score
0.728209327982994
kb_relative_information_score
0.7284253203306806
kb_relative_information_score
0.7328722910717833
kb_relative_information_score
0.7288713607933995
kb_relative_information_score
0.7285315117981632
kb_relative_information_score
0.7315738506636482
mean_absolute_error
0.07574273523079021
mean_absolute_error
0.07563364223564943
mean_absolute_error
0.07564434100009117
mean_absolute_error
0.07622800206994924
mean_absolute_error
0.07606729309676108
mean_absolute_error
0.07615713184866797
mean_absolute_error
0.07524953755729402
mean_absolute_error
0.07564954063838332
mean_absolute_error
0.0762829769766338
mean_absolute_error
0.07581963458375869
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
0.8093639347020289 [0.783167,0.978395,0.630864,0.746944,0.677641,0.921829,0.655955,0.876245,0.937126,0.885475]
precision
0.8074094737987462 [0.761442,0.989097,0.659794,0.761845,0.665349,0.912463,0.634951,0.856346,0.930984,0.901823]
precision
0.8092568029958723 [0.771552,0.979624,0.666234,0.742996,0.681818,0.928144,0.606119,0.877747,0.932568,0.905767]
precision
0.8016136641774548 [0.776335,0.98452,0.656925,0.731857,0.661397,0.911374,0.616105,0.858357,0.928358,0.890909]
precision
0.8078791462425741 [0.771642,0.988959,0.659367,0.750305,0.709677,0.918639,0.623574,0.876471,0.913043,0.867114]
precision
0.807530770701299 [0.774825,0.976526,0.670604,0.755076,0.669863,0.913043,0.625887,0.871105,0.931587,0.886792]
precision
0.8105619991529595 [0.80568,0.987597,0.650062,0.73236,0.668033,0.913743,0.640367,0.879484,0.929825,0.89847]
precision
0.8066817028159314 [0.786982,0.978227,0.668831,0.738239,0.677943,0.915052,0.622263,0.854951,0.927536,0.896792]
precision
0.8059895773125985 [0.760807,0.985938,0.68615,0.753555,0.692414,0.910741,0.601923,0.847318,0.926901,0.89415]
precision
0.8153150879588504 [0.78481,0.990566,0.673969,0.74541,0.69914,0.913616,0.642105,0.872675,0.934307,0.896552]
predictive_accuracy
0.8067142857142858
predictive_accuracy
0.8064285714285714
predictive_accuracy
0.8092857142857143
predictive_accuracy
0.7998571428571428
predictive_accuracy
0.807142857142857
predictive_accuracy
0.8068571428571428
predictive_accuracy
0.8082857142857143
predictive_accuracy
0.8057142857142857
predictive_accuracy
0.8062857142857144
predictive_accuracy
0.8140000000000001
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
0.8067142857142857 [0.784286,0.905714,0.73,0.872857,0.705714,0.892857,0.495714,0.88,0.894286,0.905714]
recall
0.8064285714285714 [0.784286,0.907143,0.731429,0.872857,0.721429,0.878571,0.467143,0.877143,0.905714,0.918571]
recall
0.8092857142857143 [0.767143,0.892857,0.732857,0.871429,0.728571,0.885714,0.452857,0.912857,0.928571,0.92]
recall
0.7998571428571428 [0.768571,0.908571,0.738571,0.85,0.717143,0.881429,0.47,0.865714,0.888571,0.91]
recall
0.8071428571428572 [0.738571,0.895714,0.774286,0.88,0.722857,0.887143,0.468571,0.851429,0.93,0.922857]
recall
0.8068571428571428 [0.791429,0.891429,0.73,0.85,0.698571,0.87,0.504286,0.878571,0.914286,0.94]
recall
0.8082857142857143 [0.77,0.91,0.745714,0.86,0.698571,0.892857,0.498571,0.875714,0.908571,0.922857]
recall
0.8057142857142857 [0.76,0.898571,0.735714,0.874286,0.715714,0.877143,0.487143,0.875714,0.914286,0.918571]
recall
0.8062857142857143 [0.754286,0.901429,0.771429,0.908571,0.717143,0.86,0.447143,0.88,0.905714,0.917143]
recall
0.814 [0.797143,0.9,0.747143,0.87,0.697143,0.891429,0.522857,0.871429,0.914286,0.928571]
relative_absolute_error
0.420792973504404
relative_absolute_error
0.42018690130917746
relative_absolute_error
0.4202463388894093
relative_absolute_error
0.42348890038862097
relative_absolute_error
0.4225960727597978
relative_absolute_error
0.4230951769370583
relative_absolute_error
0.4180529864294251
relative_absolute_error
0.4202752257688102
relative_absolute_error
0.4237943165368685
relative_absolute_error
0.4212201921320067
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
0.17145404067524248
root_mean_squared_error
0.170880033099114
root_mean_squared_error
0.17083705567736546
root_mean_squared_error
0.17242668314600235
root_mean_squared_error
0.17193090878088263
root_mean_squared_error
0.17197668882777226
root_mean_squared_error
0.17034657405209325
root_mean_squared_error
0.1720240280276257
root_mean_squared_error
0.17214745829943154
root_mean_squared_error
0.17051057545824816
root_relative_squared_error
0.5715134689174843
root_relative_squared_error
0.5696001103303894
root_relative_squared_error
0.5694568522578942
root_relative_squared_error
0.574755610486684
root_relative_squared_error
0.5731030292696182
root_relative_squared_error
0.5732556294259169
root_relative_squared_error
0.5678219135069869
root_relative_squared_error
0.5734134267587618
root_relative_squared_error
0.5738248609981147
root_relative_squared_error
0.5683685848608365
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
520498.3422120058
usercpu_time_millis
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usercpu_time_millis
530805.2838970034
usercpu_time_millis
530441.0280599988
usercpu_time_millis
528631.9653269965
usercpu_time_millis
527396.1316989954
usercpu_time_millis
521358.21388000477
usercpu_time_millis
522549.12340999726
usercpu_time_millis
514390.5668949956
usercpu_time_millis
511611.057944996
usercpu_time_millis_testing
679.2653010052163
usercpu_time_millis_testing
680.3983170029824
usercpu_time_millis_testing
681.4973680011462
usercpu_time_millis_testing
902.5191629989422
usercpu_time_millis_testing
678.9921789968503
usercpu_time_millis_testing
666.6919579947717
usercpu_time_millis_testing
671.9986110038008
usercpu_time_millis_testing
681.7855229965062
usercpu_time_millis_testing
697.1732530000736
usercpu_time_millis_testing
645.5819369948586
usercpu_time_millis_training
519819.0769110006
usercpu_time_millis_training
525569.0381589957
usercpu_time_millis_training
530123.7865290022
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
520686.21526900097
usercpu_time_millis_training
521867.33788700076
usercpu_time_millis_training
513693.3936419955
usercpu_time_millis_training
510965.47600800113
wall_clock_time_millis
520539.101600647
wall_clock_time_millis
526263.703584671
wall_clock_time_millis
530869.3337440491
wall_clock_time_millis
530527.9982089996
wall_clock_time_millis
528659.9063873291
wall_clock_time_millis
527423.8455295563
wall_clock_time_millis
521428.7838935852
wall_clock_time_millis
522585.1221084595
wall_clock_time_millis
514450.7155418396
wall_clock_time_millis
511628.2856464386
wall_clock_time_millis_testing
679.2817115783691
wall_clock_time_millis_testing
680.4158687591553
wall_clock_time_millis_testing
681.8017959594727
wall_clock_time_millis_testing
902.5554656982422
wall_clock_time_millis_testing
679.0084838867188
wall_clock_time_millis_testing
666.7065620422363
wall_clock_time_millis_testing
672.03688621521
wall_clock_time_millis_testing
681.800127029419
wall_clock_time_millis_testing
697.1969604492188
wall_clock_time_millis_testing
645.653247833252
wall_clock_time_millis_training
519859.8198890686
wall_clock_time_millis_training
525583.2877159119
wall_clock_time_millis_training
530187.5319480896
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
521903.32198143005
wall_clock_time_millis_training
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wall_clock_time_millis_training
510982.63239860535