10330498
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)
8156781
l2_regularization
0.01
12677
learning_rate
0.1
12677
loss
"auto"
12677
max_bins
16
12677
max_depth
12
12677
max_iter
350
12677
max_leaf_nodes
32
12677
min_samples_leaf
29
12677
n_iter_no_change
null
12677
random_state
801
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
21582695
description
https://api.openml.org/data/download/21582695/description.xml
-1
21582696
predictions
https://api.openml.org/data/download/21582696/predictions.arff
area_under_roc_curve
0.994423206802721 [0.992371,0.99979,0.990126,0.996946,0.991109,0.999773,0.975914,0.999211,0.999566,0.999426]
average_cost
0
f_measure
0.9117602459800902 [0.86656,0.98872,0.851393,0.919053,0.85448,0.981387,0.746284,0.963341,0.978818,0.967566]
kappa
0.9023492063492065
kb_relative_information_score
0.9154122919069897
mean_absolute_error
0.019937679857630872
mean_prior_absolute_error
0.1800000000001732
number_of_instances
70000 [7000,7000,7000,7000,7000,7000,7000,7000,7000,7000]
precision
0.9118015859491273 [0.847562,0.994508,0.844748,0.914439,0.844758,0.987419,0.777726,0.956356,0.980642,0.969858]
predictive_accuracy
0.9121142857142857
prior_entropy
3.321928094891228
recall
0.9121142857142858 [0.886429,0.983,0.858143,0.923714,0.864429,0.975429,0.717286,0.970429,0.977,0.965286]
relative_absolute_error
0.11076488809784271
root_mean_prior_squared_error
0.3000000000001443
root_mean_squared_error
0.11596982846352351
root_relative_squared_error
0.3865660948782257
total_cost
0
area_under_roc_curve
0.9942342630385488 [0.993127,0.999905,0.988026,0.9974,0.99106,0.999691,0.975785,0.998567,0.99965,0.999132]
area_under_roc_curve
0.9942455102040817 [0.992803,0.999929,0.988255,0.996695,0.990408,0.999709,0.975903,0.999389,0.9997,0.999665]
area_under_roc_curve
0.9939273696145124 [0.991341,0.999915,0.989612,0.997238,0.990509,0.999918,0.972565,0.999115,0.999798,0.999263]
area_under_roc_curve
0.9950036734693877 [0.993577,0.999878,0.992368,0.996898,0.992367,0.999822,0.977239,0.999112,0.999515,0.999261]
area_under_roc_curve
0.9941804535147393 [0.990724,0.999977,0.989243,0.997964,0.991084,0.999858,0.974676,0.999186,0.999715,0.999377]
area_under_roc_curve
0.99466231292517 [0.992085,0.999101,0.990669,0.996718,0.990584,0.99972,0.979288,0.999395,0.99959,0.999473]
area_under_roc_curve
0.9953356916099774 [0.993885,0.999898,0.992412,0.996596,0.992659,0.999922,0.979477,0.999471,0.999437,0.9996]
area_under_roc_curve
0.99413410430839 [0.992394,0.999854,0.988589,0.997081,0.989925,0.999807,0.976115,0.999274,0.998927,0.999374]
area_under_roc_curve
0.9943844671201814 [0.990714,0.9995,0.99229,0.996737,0.991988,0.999684,0.974402,0.999212,0.999803,0.999514]
area_under_roc_curve
0.9941563265306123 [0.993223,0.99995,0.989757,0.996234,0.990419,0.999612,0.973829,0.999382,0.999577,0.99958]
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
0.9080735841815429 [0.873692,0.987069,0.836545,0.923185,0.854062,0.980534,0.737609,0.959097,0.970609,0.958333]
f_measure
0.9148241266173401 [0.870474,0.988506,0.8529,0.916786,0.85855,0.979092,0.763879,0.964589,0.979914,0.973553]
f_measure
0.9078430861302434 [0.865358,0.987796,0.849508,0.919605,0.837667,0.983441,0.723436,0.96265,0.982759,0.966211]
f_measure
0.9159791568650903 [0.868109,0.990654,0.871469,0.926376,0.865398,0.984218,0.749258,0.963016,0.97711,0.964183]
f_measure
0.9104164576766048 [0.849083,0.991392,0.832745,0.937053,0.866385,0.984241,0.734572,0.960517,0.980114,0.968062]
f_measure
0.9083585085001653 [0.869263,0.986301,0.839914,0.907026,0.835905,0.977682,0.756477,0.96416,0.977682,0.969176]
f_measure
0.9159815415072309 [0.87395,0.990654,0.862166,0.906725,0.857343,0.984263,0.764793,0.969264,0.979271,0.971388]
f_measure
0.909944216769783 [0.85976,0.989247,0.840764,0.920813,0.848057,0.985653,0.744395,0.965174,0.979914,0.965665]
f_measure
0.9133198101347344 [0.856747,0.98705,0.881598,0.914326,0.864827,0.974138,0.74489,0.957567,0.985053,0.967001]
f_measure
0.912782449750213 [0.878893,0.988522,0.846208,0.918571,0.856736,0.980562,0.743153,0.967422,0.975714,0.972043]
kappa
0.8980952380952381
kappa
0.9055555555555556
kappa
0.8982539682539683
kappa
0.906984126984127
kappa
0.900952380952381
kappa
0.8984126984126984
kappa
0.9068253968253969
kappa
0.9004761904761905
kappa
0.9044444444444445
kappa
0.9034920634920635
kb_relative_information_score
0.9117303241306403
kb_relative_information_score
0.9153993654859555
kb_relative_information_score
0.9126323936763537
kb_relative_information_score
0.9188848669627476
kb_relative_information_score
0.914679538671403
kb_relative_information_score
0.9129331815628311
kb_relative_information_score
0.9213153619225685
kb_relative_information_score
0.9146081894019106
kb_relative_information_score
0.9174966856542842
kb_relative_information_score
0.9144430116126319
mean_absolute_error
0.020581560089300753
mean_absolute_error
0.02006813561073696
mean_absolute_error
0.020435782003160572
mean_absolute_error
0.019360230301478255
mean_absolute_error
0.020220878341908124
mean_absolute_error
0.02039602806461179
mean_absolute_error
0.018772183977972774
mean_absolute_error
0.020026479460957744
mean_absolute_error
0.019509699095556797
mean_absolute_error
0.020005821630624223
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
0.9081194706872179 [0.854025,0.992775,0.835949,0.910987,0.859624,0.989811,0.752976,0.947075,0.974101,0.963873]
precision
0.9150580039788389 [0.849185,0.99422,0.844538,0.920749,0.846047,0.988355,0.792627,0.956461,0.98415,0.974249]
precision
0.9079348707983838 [0.849862,0.992785,0.836565,0.908078,0.824343,0.991292,0.76555,0.94993,0.988439,0.972504]
precision
0.9160588658062039 [0.848568,0.997106,0.861732,0.927039,0.853964,0.988473,0.779321,0.958924,0.97851,0.966954]
precision
0.9103394307758165 [0.83844,0.995677,0.822873,0.938395,0.853186,0.987069,0.765891,0.965368,0.974576,0.961918]
precision
0.9086283407274466 [0.846883,0.995633,0.844156,0.901269,0.820937,0.985486,0.784946,0.948824,0.985486,0.972662]
precision
0.9162339760802399 [0.857143,0.997106,0.84903,0.918009,0.839726,0.985673,0.792945,0.969957,0.979971,0.972779]
precision
0.9099253036942092 [0.848401,0.992806,0.8331,0.903714,0.839161,0.989914,0.780564,0.960396,0.98415,0.967049]
precision
0.913449145844673 [0.830872,0.994203,0.880342,0.899171,0.856942,0.979769,0.792271,0.948179,0.98156,0.971182]
precision
0.9128319635552975 [0.852349,0.992795,0.839662,0.918571,0.854908,0.988389,0.771121,0.95927,0.975714,0.97554]
predictive_accuracy
0.9082857142857143
predictive_accuracy
0.915
predictive_accuracy
0.9084285714285714
predictive_accuracy
0.9162857142857144
predictive_accuracy
0.9108571428571429
predictive_accuracy
0.9085714285714286
predictive_accuracy
0.9161428571428571
predictive_accuracy
0.9104285714285715
predictive_accuracy
0.914
predictive_accuracy
0.9131428571428571
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
0.9082857142857143 [0.894286,0.981429,0.837143,0.935714,0.848571,0.971429,0.722857,0.971429,0.967143,0.952857]
recall
0.915 [0.892857,0.982857,0.861429,0.912857,0.871429,0.97,0.737143,0.972857,0.975714,0.972857]
recall
0.9084285714285715 [0.881429,0.982857,0.862857,0.931429,0.851429,0.975714,0.685714,0.975714,0.977143,0.96]
recall
0.9162857142857143 [0.888571,0.984286,0.881429,0.925714,0.877143,0.98,0.721429,0.967143,0.975714,0.961429]
recall
0.9108571428571428 [0.86,0.987143,0.842857,0.935714,0.88,0.981429,0.705714,0.955714,0.985714,0.974286]
recall
0.9085714285714286 [0.892857,0.977143,0.835714,0.912857,0.851429,0.97,0.73,0.98,0.97,0.965714]
recall
0.9161428571428571 [0.891429,0.984286,0.875714,0.895714,0.875714,0.982857,0.738571,0.968571,0.978571,0.97]
recall
0.9104285714285715 [0.871429,0.985714,0.848571,0.938571,0.857143,0.981429,0.711429,0.97,0.975714,0.964286]
recall
0.914 [0.884286,0.98,0.882857,0.93,0.872857,0.968571,0.702857,0.967143,0.988571,0.962857]
recall
0.9131428571428571 [0.907143,0.984286,0.852857,0.918571,0.858571,0.972857,0.717143,0.975714,0.975714,0.968571]
relative_absolute_error
0.11434200049611908
relative_absolute_error
0.11148964228187568
relative_absolute_error
0.11353212223978472
relative_absolute_error
0.1075568350082161
relative_absolute_error
0.11233821301060441
relative_absolute_error
0.11331126702562483
relative_absolute_error
0.10428991098874109
relative_absolute_error
0.11125821922754671
relative_absolute_error
0.10838721719754135
relative_absolute_error
0.1111434535034716
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
0.1183988967654285
root_mean_squared_error
0.11596442925466612
root_mean_squared_error
0.11778296494381987
root_mean_squared_error
0.11320033550921885
root_mean_squared_error
0.11656853801023018
root_mean_squared_error
0.11756210908733432
root_mean_squared_error
0.11123614906553733
root_mean_squared_error
0.11686826393782865
root_mean_squared_error
0.1150803894707613
root_mean_squared_error
0.11684425179780644
root_relative_squared_error
0.3946629892181015
root_relative_squared_error
0.3865480975155601
root_relative_squared_error
0.39260988314607276
root_relative_squared_error
0.3773344516974024
root_relative_squared_error
0.38856179336744034
root_relative_squared_error
0.3918736969577875
root_relative_squared_error
0.3707871635517972
root_relative_squared_error
0.3895608797927686
root_relative_squared_error
0.38360129823587735
root_relative_squared_error
0.3894808393260279
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
1562703.2036689925
usercpu_time_millis
1558896.5437059961
usercpu_time_millis
1581396.8995339964
usercpu_time_millis
1566080.2687830003
usercpu_time_millis
1578048.5326780183
usercpu_time_millis
1585324.186734986
usercpu_time_millis
1550701.3598450138
usercpu_time_millis
1536362.489588995
usercpu_time_millis
1575441.3274660036
usercpu_time_millis
1549646.203518991
usercpu_time_millis_testing
2474.9880519957514
usercpu_time_millis_testing
2463.0055360030383
usercpu_time_millis_testing
2383.214285990107
usercpu_time_millis_testing
2540.538426997955
usercpu_time_millis_testing
2500.8830950100673
usercpu_time_millis_testing
2376.3855029974366
usercpu_time_millis_testing
2392.467331010266
usercpu_time_millis_testing
2212.8567680047126
usercpu_time_millis_testing
2615.373819004162
usercpu_time_millis_testing
2441.076636998332
usercpu_time_millis_training
1560228.2156169969
usercpu_time_millis_training
1556433.538169993
usercpu_time_millis_training
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usercpu_time_millis_training
1563539.7303560022
usercpu_time_millis_training
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usercpu_time_millis_training
1582947.8012319887
usercpu_time_millis_training
1548308.8925140037
usercpu_time_millis_training
1534149.6328209904
usercpu_time_millis_training
1572825.9536469996
usercpu_time_millis_training
1547205.1268819924
wall_clock_time_millis
1562732.5949668884
wall_clock_time_millis
1558961.583852768
wall_clock_time_millis
1581424.0083694458
wall_clock_time_millis
1566162.9383563995
wall_clock_time_millis
1578077.5339603424
wall_clock_time_millis
1585356.3096523285
wall_clock_time_millis
1550740.2226924896
wall_clock_time_millis
1536390.0797367096
wall_clock_time_millis
1575472.1734523773
wall_clock_time_millis
1549677.598953247
wall_clock_time_millis_testing
2475.027084350586
wall_clock_time_millis_testing
2463.0680084228516
wall_clock_time_millis_testing
2383.2497596740723
wall_clock_time_millis_testing
2541.651964187622
wall_clock_time_millis_testing
2500.959873199463
wall_clock_time_millis_testing
2376.4243125915527
wall_clock_time_millis_testing
2392.5275802612305
wall_clock_time_millis_testing
2212.8918170928955
wall_clock_time_millis_testing
2615.4370307922363
wall_clock_time_millis_testing
2441.114664077759
wall_clock_time_millis_training
1560257.5678825378
wall_clock_time_millis_training
1556498.515844345
wall_clock_time_millis_training
1579040.7586097717
wall_clock_time_millis_training
1563621.286392212
wall_clock_time_millis_training
1575576.574087143
wall_clock_time_millis_training
1582979.885339737
wall_clock_time_millis_training
1548347.6951122284
wall_clock_time_millis_training
1534177.1879196167
wall_clock_time_millis_training
1572856.736421585
wall_clock_time_millis_training
1547236.4842891693