10330577
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)
8157210
l2_regularization
1.0
12677
learning_rate
0.1
12677
loss
"auto"
12677
max_bins
128
12677
max_depth
8
12677
max_iter
350
12677
max_leaf_nodes
16
12677
min_samples_leaf
4
12677
n_iter_no_change
null
12677
random_state
47652
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
21582853
description
https://api.openml.org/data/download/21582853/description.xml
-1
21582854
predictions
https://api.openml.org/data/download/21582854/predictions.arff
area_under_roc_curve
0.9943704907029478 [0.992254,0.999796,0.990039,0.996912,0.991181,0.999746,0.975591,0.999194,0.999579,0.999413]
average_cost
0
f_measure
0.9102174056494061 [0.864703,0.987921,0.849734,0.919588,0.856095,0.980223,0.740009,0.960351,0.977778,0.965774]
kappa
0.9006666666666666
kb_relative_information_score
0.9127287936391967
mean_absolute_error
0.021788599537926105
mean_prior_absolute_error
0.1800000000001732
number_of_instances
70000 [7000,7000,7000,7000,7000,7000,7000,7000,7000,7000]
precision
0.9102290203198874 [0.845576,0.994499,0.84523,0.915357,0.845596,0.986966,0.770814,0.951993,0.978127,0.968131]
predictive_accuracy
0.9106000000000001
prior_entropy
3.321928094891228
recall
0.9106 [0.884714,0.981429,0.854286,0.923857,0.866857,0.973571,0.711571,0.968857,0.977429,0.963429]
relative_absolute_error
0.12104777521058412
root_mean_prior_squared_error
0.3000000000001443
root_mean_squared_error
0.11452627485991816
root_relative_squared_error
0.3817542495328769
total_cost
0
area_under_roc_curve
0.9943030839002266 [0.99294,0.999907,0.988705,0.997348,0.990607,0.999658,0.97642,0.998749,0.999569,0.999127]
area_under_roc_curve
0.9942450340136053 [0.992504,0.999927,0.988858,0.996587,0.991296,0.9997,0.974843,0.999354,0.999697,0.999685]
area_under_roc_curve
0.9939996825396824 [0.991499,0.99983,0.989449,0.997076,0.990931,0.999887,0.973168,0.999093,0.999746,0.999317]
area_under_roc_curve
0.9948043537414967 [0.993289,0.999921,0.991883,0.996981,0.992376,0.999776,0.976048,0.998949,0.999597,0.999224]
area_under_roc_curve
0.9944606122448979 [0.991473,0.999953,0.989611,0.998057,0.991685,0.999819,0.975831,0.999157,0.999593,0.999428]
area_under_roc_curve
0.9945064172335599 [0.992212,0.999101,0.989953,0.996674,0.990467,0.999694,0.978545,0.999443,0.999496,0.999479]
area_under_roc_curve
0.9952046031746031 [0.993741,0.999924,0.991544,0.996665,0.992066,0.999925,0.979544,0.999492,0.999531,0.999613]
area_under_roc_curve
0.9942087981859412 [0.992058,0.999783,0.98906,0.997126,0.990423,0.999752,0.976038,0.999368,0.999111,0.999369]
area_under_roc_curve
0.9942951020408162 [0.990495,0.99974,0.99197,0.996745,0.992155,0.999653,0.973836,0.999092,0.999843,0.999423]
area_under_roc_curve
0.9937913605442177 [0.992569,0.999928,0.989563,0.996088,0.989966,0.999616,0.971838,0.99923,0.999651,0.999465]
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
0.9076279998181142 [0.874567,0.987779,0.831669,0.920567,0.852836,0.978417,0.740307,0.959774,0.972779,0.957584]
f_measure
0.9110104841572274 [0.866022,0.989216,0.844257,0.917024,0.861777,0.976912,0.738185,0.964008,0.979885,0.972818]
f_measure
0.9081747786164218 [0.861345,0.98636,0.853885,0.919071,0.851332,0.981241,0.718797,0.961404,0.979271,0.969042]
f_measure
0.9092029101256864 [0.862579,0.988473,0.865289,0.921652,0.863541,0.981322,0.734754,0.947443,0.972202,0.954774]
f_measure
0.9122396937979208 [0.858765,0.987088,0.836749,0.93617,0.873498,0.982808,0.752784,0.955651,0.97803,0.960854]
f_measure
0.9072507061835473 [0.86509,0.986282,0.839542,0.908441,0.834624,0.98059,0.747609,0.965517,0.976378,0.968436]
f_measure
0.9167229050205784 [0.884344,0.989232,0.850494,0.910275,0.857143,0.984903,0.766396,0.965861,0.982833,0.975749]
f_measure
0.9104231750193875 [0.857947,0.988489,0.853257,0.918994,0.856546,0.982079,0.738346,0.964387,0.979211,0.964975]
f_measure
0.9148274887638124 [0.857538,0.98705,0.882227,0.922535,0.865439,0.976242,0.747551,0.958304,0.985032,0.966356]
f_measure
0.9046300254440882 [0.858913,0.989232,0.840253,0.920863,0.843997,0.977682,0.715026,0.961076,0.972163,0.967096]
kappa
0.8976190476190475
kappa
0.9015873015873016
kappa
0.8987301587301587
kappa
0.8993650793650794
kappa
0.903015873015873
kappa
0.8971428571428572
kappa
0.9076190476190475
kappa
0.9011111111111112
kappa
0.9060317460317461
kappa
0.8944444444444445
kb_relative_information_score
0.9094926424823584
kb_relative_information_score
0.9129316505847919
kb_relative_information_score
0.910940893934055
kb_relative_information_score
0.913210547783998
kb_relative_information_score
0.9140328181289469
kb_relative_information_score
0.9099809195268391
kb_relative_information_score
0.9180571554291868
kb_relative_information_score
0.9134974643629374
kb_relative_information_score
0.915212330849207
kb_relative_information_score
0.9099315133212302
mean_absolute_error
0.022316149169188764
mean_absolute_error
0.02165203807564772
mean_absolute_error
0.022102158332293308
mean_absolute_error
0.021909955457511766
mean_absolute_error
0.021667907805838688
mean_absolute_error
0.022243577016472383
mean_absolute_error
0.020887579327624785
mean_absolute_error
0.021434321714231885
mean_absolute_error
0.02148253485131326
mean_absolute_error
0.022189773629137297
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
0.9077102033839674 [0.84926,0.994211,0.830484,0.914085,0.857143,0.985507,0.758621,0.948396,0.975575,0.963821]
precision
0.9112781343152622 [0.838235,0.995658,0.833102,0.918338,0.850975,0.98688,0.777251,0.95258,0.985549,0.974212]
precision
0.9081520216750847 [0.84478,0.991342,0.852063,0.905687,0.836088,0.991254,0.75873,0.944828,0.979971,0.976778]
precision
0.9092354834352854 [0.851182,0.997093,0.863442,0.919034,0.846365,0.986994,0.75643,0.94209,0.970128,0.959596]
precision
0.9120734028631697 [0.853315,0.991354,0.827972,0.929577,0.864336,0.985632,0.783617,0.95702,0.970464,0.957447]
precision
0.9074461987315635 [0.842818,0.99708,0.841954,0.909742,0.822469,0.986975,0.770865,0.951456,0.978479,0.972622]
precision
0.9169491376013573 [0.873259,0.994228,0.839833,0.922287,0.836735,0.991317,0.791476,0.961756,0.984241,0.974359]
precision
0.9105149073330762 [0.844875,0.995652,0.855093,0.898907,0.835598,0.985612,0.779365,0.961648,0.982734,0.965665]
precision
0.9149489717000503 [0.831099,0.994203,0.881598,0.909722,0.858146,0.984035,0.791069,0.948252,0.98293,0.968436]
precision
0.9047646182483386 [0.828685,0.994228,0.828017,0.927536,0.849493,0.985486,0.741935,0.952314,0.971469,0.968481]
predictive_accuracy
0.9078571428571429
predictive_accuracy
0.9114285714285714
predictive_accuracy
0.9088571428571428
predictive_accuracy
0.9094285714285714
predictive_accuracy
0.9127142857142857
predictive_accuracy
0.9074285714285715
predictive_accuracy
0.9168571428571428
predictive_accuracy
0.9109999999999999
predictive_accuracy
0.9154285714285715
predictive_accuracy
0.905
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
0.9078571428571428 [0.901429,0.981429,0.832857,0.927143,0.848571,0.971429,0.722857,0.971429,0.97,0.951429]
recall
0.9114285714285715 [0.895714,0.982857,0.855714,0.915714,0.872857,0.967143,0.702857,0.975714,0.974286,0.971429]
recall
0.9088571428571428 [0.878571,0.981429,0.855714,0.932857,0.867143,0.971429,0.682857,0.978571,0.978571,0.961429]
recall
0.9094285714285715 [0.874286,0.98,0.867143,0.924286,0.881429,0.975714,0.714286,0.952857,0.974286,0.95]
recall
0.9127142857142857 [0.864286,0.982857,0.845714,0.942857,0.882857,0.98,0.724286,0.954286,0.985714,0.964286]
recall
0.9074285714285715 [0.888571,0.975714,0.837143,0.907143,0.847143,0.974286,0.725714,0.98,0.974286,0.964286]
recall
0.9168571428571428 [0.895714,0.984286,0.861429,0.898571,0.878571,0.978571,0.742857,0.97,0.981429,0.977143]
recall
0.911 [0.871429,0.981429,0.851429,0.94,0.878571,0.978571,0.701429,0.967143,0.975714,0.964286]
recall
0.9154285714285715 [0.885714,0.98,0.882857,0.935714,0.872857,0.968571,0.708571,0.968571,0.987143,0.964286]
recall
0.905 [0.891429,0.984286,0.852857,0.914286,0.838571,0.97,0.69,0.97,0.972857,0.965714]
relative_absolute_error
0.12397860649549725
relative_absolute_error
0.1202891004202691
relative_absolute_error
0.12278976851274466
relative_absolute_error
0.1217219747639583
relative_absolute_error
0.1203772655879967
relative_absolute_error
0.12357542786929512
relative_absolute_error
0.1160421073756971
relative_absolute_error
0.11907956507906997
relative_absolute_error
0.11934741584063319
relative_absolute_error
0.12327652016187798
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
0.11683548576042006
root_mean_squared_error
0.11481396262549168
root_mean_squared_error
0.11576625185299966
root_mean_squared_error
0.11364232408973572
root_mean_squared_error
0.11346131789437602
root_mean_squared_error
0.11640099238608984
root_mean_squared_error
0.10999308794526232
root_mean_squared_error
0.11416864039587114
root_mean_squared_error
0.11287432650857654
root_mean_squared_error
0.11712072223357306
root_relative_squared_error
0.38945161920140664
root_relative_squared_error
0.3827132087516453
root_relative_squared_error
0.3858875061766719
root_relative_squared_error
0.378807746965792
root_relative_squared_error
0.3782043929812597
root_relative_squared_error
0.3880033079536392
root_relative_squared_error
0.36664362648421384
root_relative_squared_error
0.3805621346529101
root_relative_squared_error
0.37624775502859464
root_relative_squared_error
0.39040240744525
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
1485724.1525969878
usercpu_time_millis
1519847.7640119817
usercpu_time_millis
1500583.3857550025
usercpu_time_millis
1482866.5854669963
usercpu_time_millis
1489088.7457810168
usercpu_time_millis
1508909.5334920275
usercpu_time_millis
1488692.0131249935
usercpu_time_millis
1518136.99863301
usercpu_time_millis
1491009.847615991
usercpu_time_millis
1493115.3755830019
usercpu_time_millis_testing
2344.7686679865
usercpu_time_millis_testing
2276.2736869917717
usercpu_time_millis_testing
2283.8083779934095
usercpu_time_millis_testing
2261.063418001868
usercpu_time_millis_testing
2350.49619799247
usercpu_time_millis_testing
2275.681593018817
usercpu_time_millis_testing
2599.0023009944707
usercpu_time_millis_testing
2292.962770006852
usercpu_time_millis_testing
2290.710303001106
usercpu_time_millis_testing
2298.488972999621
usercpu_time_millis_training
1483379.3839290012
usercpu_time_millis_training
1517571.49032499
usercpu_time_millis_training
1498299.577377009
usercpu_time_millis_training
1480605.5220489944
usercpu_time_millis_training
1486738.2495830243
usercpu_time_millis_training
1506633.8518990087
usercpu_time_millis_training
1486093.010823999
usercpu_time_millis_training
1515844.0358630032
usercpu_time_millis_training
1488719.13731299
usercpu_time_millis_training
1490816.8866100023
wall_clock_time_millis
1485753.8340091705
wall_clock_time_millis
1519980.8988571167
wall_clock_time_millis
1500614.7401332855
wall_clock_time_millis
1483002.445936203
wall_clock_time_millis
1489338.1588459015
wall_clock_time_millis
1508945.7213878632
wall_clock_time_millis
1488720.790863037
wall_clock_time_millis
1518171.4689731598
wall_clock_time_millis
1491112.5104427338
wall_clock_time_millis
1493146.9752788544
wall_clock_time_millis_testing
2344.9413776397705
wall_clock_time_millis_testing
2276.3805389404297
wall_clock_time_millis_testing
2283.850908279419
wall_clock_time_millis_testing
2261.138677597046
wall_clock_time_millis_testing
2350.533962249756
wall_clock_time_millis_testing
2275.743007659912
wall_clock_time_millis_testing
2599.057674407959
wall_clock_time_millis_testing
2293.0002212524414
wall_clock_time_millis_testing
2290.801763534546
wall_clock_time_millis_testing
2298.5801696777344
wall_clock_time_millis_training
1483408.8926315308
wall_clock_time_millis_training
1517704.5183181763
wall_clock_time_millis_training
1498330.889225006
wall_clock_time_millis_training
1480741.307258606
wall_clock_time_millis_training
1486987.6248836517
wall_clock_time_millis_training
1506669.9783802032
wall_clock_time_millis_training
1486121.7331886292
wall_clock_time_millis_training
1515878.4687519073
wall_clock_time_millis_training
1488821.7086791992
wall_clock_time_millis_training
1490848.3951091766