10228812
8323
Heinrich Peters
32
Supervised Classification
12677
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)
8153916
l2_regularization
0.0
12677
learning_rate
0.1
12677
loss
"auto"
12677
max_bins
256
12677
max_depth
null
12677
max_iter
100
12677
max_leaf_nodes
31
12677
min_samples_leaf
20
12677
n_iter_no_change
null
12677
random_state
31060
12677
scoring
null
12677
tol
1e-07
12677
validation_fraction
0.1
12677
verbose
0
12677
openml-python
Sklearn_0.21.2.
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
21378998
description
https://api.openml.org/data/download/21378998/description.xml
-1
21378999
predictions
https://api.openml.org/data/download/21378999/predictions.arff
area_under_roc_curve
0.9997678961211446 [0.99995,0.999891,0.999862,0.998814,0.999996,0.999806,0.999509,0.999969,0.999969,0.999845]
average_cost
0
f_measure
0.9921771370959873 [0.995178,0.98732,0.990418,0.990982,0.99651,0.993352,0.995733,0.991243,0.992901,0.988146]
kappa
0.9913052037019219
kb_relative_information_score
0.9924242115228649
mean_absolute_error
0.0017004771532360245
mean_prior_absolute_error
0.17996797657803554
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9921842019574093 [0.997364,0.986888,0.986979,0.992395,0.994774,0.995243,0.997151,0.991243,0.991493,0.988615]
predictive_accuracy
0.9921761280931587
prior_entropy
3.320771739846944
recall
0.9921761280931587 [0.993001,0.987752,0.993881,0.989573,0.998252,0.991469,0.994318,0.991243,0.994313,0.987678]
relative_absolute_error
0.009448776307704299
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.03557194047215927
root_relative_squared_error
0.11858369345298207
total_cost
0
area_under_roc_curve
0.9999816527112653 [1,0.999956,0.999982,0.999981,1,0.999962,1,0.999991,0.999953,0.999991]
area_under_roc_curve
0.99972286871416 [0.999709,0.999573,0.999576,0.999703,1,0.998823,1,0.999956,0.999924,0.999943]
area_under_roc_curve
0.9989818011585562 [0.999947,0.999955,0.999072,0.991626,1,0.99999,1,1,0.999923,0.998936]
area_under_roc_curve
0.9994383878245617 [1,0.99985,0.99992,0.999483,1,0.99943,0.995679,0.999832,0.999981,0.99999]
area_under_roc_curve
0.9999907993964591 [1,0.999982,0.999991,0.99999,0.999982,1,1,1,1,0.999962]
area_under_roc_curve
0.9999668053902687 [0.999866,0.999947,0.999938,1,1,1,1,1,0.999923,1]
area_under_roc_curve
0.9999770162769521 [0.999982,0.999973,1,0.999933,1,1,1,0.999947,0.999952,0.999981]
area_under_roc_curve
0.999983447332308 [1,1,1,1,0.999964,1,1,0.999955,1,0.999914]
area_under_roc_curve
0.9996908712742634 [0.999991,0.999617,1,0.997397,1,0.999971,0.999971,1,1,0.999876]
area_under_roc_curve
0.9999963374358531 [1,1,1,0.999971,1,1,1,1,1,0.99999]
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
0.9918123415131033 [0.991379,0.991228,0.991379,0.985646,1,0.985646,1,0.995595,0.985782,0.990566]
f_measure
0.986379393437106 [0.986784,0.978166,0.969697,0.990476,1,0.985646,0.995261,0.9869,0.985915,0.985915]
f_measure
0.9927122966021015 [0.991228,0.995633,0.995671,0.985782,1,0.995215,0.995261,1,0.990476,0.976303]
f_measure
0.9863694960671094 [1,0.969697,0.982456,0.990385,0.995671,0.990654,0.990385,0.969697,0.985782,0.990385]
f_measure
0.9954502399798608 [1,0.995633,0.995633,0.990566,0.991304,0.995261,1,0.995633,1,0.990476]
f_measure
0.9954499723275843 [0.99115,0.991379,0.99115,1,0.991379,1,0.995215,1,0.995261,1]
f_measure
0.9927215292656811 [0.995595,0.986784,0.995633,0.995261,1,1,0.995305,0.986784,0.985782,0.985782]
f_measure
0.9945357045346533 [1,0.99115,0.995633,0.995305,0.991228,0.995261,0.995305,0.991304,1,0.990385]
f_measure
0.9918172973297735 [0.995633,0.987013,0.995633,0.990476,0.995633,0.990385,0.990476,0.99115,1,0.981308]
f_measure
0.9945367577065233 [1,0.986667,0.991379,0.985782,1,0.995261,1,0.995595,1,0.990566]
kappa
0.9909072038825321
kappa
0.9848457712813589
kappa
0.9919101950680899
kappa
0.9848311412024299
kappa
0.9949439137879793
kappa
0.9949439277446329
kappa
0.9919105821215769
kappa
0.9939328807683175
kappa
0.9908991201838763
kappa
0.9939329254266918
kb_relative_information_score
0.99275908599309
kb_relative_information_score
0.9855371782542229
kb_relative_information_score
0.991944436756708
kb_relative_information_score
0.9876160320468789
kb_relative_information_score
0.9957126945647403
kb_relative_information_score
0.9942796469955988
kb_relative_information_score
0.9937512223791019
kb_relative_information_score
0.9942192741614015
kb_relative_information_score
0.9918505799627693
kb_relative_information_score
0.996577617849163
mean_absolute_error
0.0016999953328232795
mean_absolute_error
0.003018143307833572
mean_absolute_error
0.0018630977936241432
mean_absolute_error
0.0025899363233872932
mean_absolute_error
0.001086169598514602
mean_absolute_error
0.0012470625814329083
mean_absolute_error
0.001378382381611503
mean_absolute_error
0.0012791259191992034
mean_absolute_error
0.001720589332907058
mean_absolute_error
0.0011210704311502377
mean_prior_absolute_error
0.17996798929120086
mean_prior_absolute_error
0.17996798929120086
mean_prior_absolute_error
0.17996580653132724
mean_prior_absolute_error
0.17996580653132724
mean_prior_absolute_error
0.17996724559468558
mean_prior_absolute_error
0.17996724559468558
mean_prior_absolute_error
0.1799686846580439
mean_prior_absolute_error
0.1799701568033185
mean_prior_absolute_error
0.1799701568033185
mean_prior_absolute_error
0.1799686846580439
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1099 [115,114,115,105,114,105,105,115,105,106]
number_of_instances
1099 [114,115,114,105,115,106,105,115,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,114,114,106,115,106,106,114,105,105]
number_of_instances
1099 [114,114,114,106,114,106,106,114,106,105]
number_of_instances
1099 [114,114,114,106,114,105,106,114,106,106]
number_of_instances
1099 [114,114,115,105,114,105,106,114,106,106]
precision
0.9918542013542014 [0.982906,0.991228,0.982906,0.990385,1,0.990385,1,1,0.990476,0.990566]
precision
0.9864597534658591 [1,0.973913,0.965517,0.990476,1,0.990385,1,0.982609,0.981308,0.981308]
precision
0.9927448322198126 [1,0.991304,0.991379,0.981132,1,1,0.990566,1,0.990476,0.980952]
precision
0.9864726944208024 [1,0.965517,0.982456,1,0.991379,0.981481,1,0.965517,0.981132,1]
precision
0.9954662341258851 [1,1,0.991304,0.990566,0.991304,1,1,0.991304,1,0.990476]
precision
0.9955212102189629 [1,0.982906,1,1,0.982906,1,1,1,0.990566,1]
precision
0.9927553031670417 [1,0.99115,0.991304,1,1,1,0.990654,0.99115,0.981132,0.981132]
precision
0.9945967879886987 [1,1,0.991304,0.990654,0.991228,1,0.990654,0.982759,1,1]
precision
0.9919550187343044 [0.991304,0.974359,0.991304,1,0.991304,1,1,1,1,0.972222]
precision
0.9945973520664064 [1,1,0.982906,0.981132,1,0.990566,1,1,1,0.990566]
predictive_accuracy
0.9918181818181818
predictive_accuracy
0.9863636363636364
predictive_accuracy
0.9927206551410372
predictive_accuracy
0.986351228389445
predictive_accuracy
0.9954504094631482
predictive_accuracy
0.9954504094631482
predictive_accuracy
0.9927206551410372
predictive_accuracy
0.994540491355778
predictive_accuracy
0.991810737033667
predictive_accuracy
0.994540491355778
prior_entropy
3.3207726565016804
prior_entropy
3.3207726565016804
prior_entropy
3.320615093773185
prior_entropy
3.320615093773185
prior_entropy
3.3207190205874304
prior_entropy
3.3207190205874304
prior_entropy
3.320822852867135
prior_entropy
3.3209290746720725
prior_entropy
3.3209290746720725
prior_entropy
3.3208228528671353
recall
0.9918181818181818 [1,0.991228,1,0.980952,1,0.980952,1,0.991228,0.981132,0.990566]
recall
0.9863636363636363 [0.973913,0.982456,0.973913,0.990476,1,0.980952,0.990566,0.991228,0.990566,0.990566]
recall
0.9927206551410374 [0.982609,1,1,0.990476,1,0.990476,1,1,0.990476,0.971698]
recall
0.986351228389445 [1,0.973913,0.982456,0.980952,1,1,0.980952,0.973913,0.990476,0.980952]
recall
0.9954504094631483 [1,0.991304,1,0.990566,0.991304,0.990566,1,1,1,0.990476]
recall
0.9954504094631483 [0.982456,1,0.982456,1,1,1,0.990476,1,1,1]
recall
0.9927206551410374 [0.991228,0.982456,1,0.990566,1,1,1,0.982456,0.990476,0.990476]
recall
0.9945404913557779 [1,0.982456,1,1,0.991228,0.990566,1,1,1,0.980952]
recall
0.991810737033667 [1,1,1,0.981132,1,0.980952,0.981132,0.982456,1,0.990566]
recall
0.9945404913557779 [1,0.973684,1,0.990476,1,1,1,0.991228,1,0.990566]
relative_absolute_error
0.009446098384044106
relative_absolute_error
0.01677044523151283
relative_absolute_error
0.010352509899150358
relative_absolute_error
0.014391268948840314
relative_absolute_error
0.006035373797745542
relative_absolute_error
0.006929386385350857
relative_absolute_error
0.007659012367793593
relative_absolute_error
0.007107433487414827
relative_absolute_error
0.009560414701351931
relative_absolute_error
0.006229252790730614
root_mean_prior_squared_error
0.29997330956058954
root_mean_prior_squared_error
0.29997330956058954
root_mean_prior_squared_error
0.29996967128171426
root_mean_prior_squared_error
0.29996967128171426
root_mean_prior_squared_error
0.29997206995355086
root_mean_prior_squared_error
0.29997206995355086
root_mean_prior_squared_error
0.2999744686062071
root_mean_prior_squared_error
0.29997692238045737
root_mean_prior_squared_error
0.29997692238045737
root_mean_prior_squared_error
0.2999744686062071
root_mean_squared_error
0.03450193165192966
root_mean_squared_error
0.05010160519288148
root_mean_squared_error
0.0367704688867369
root_mean_squared_error
0.0465375806386452
root_mean_squared_error
0.02566954400442783
root_mean_squared_error
0.031187454188943572
root_mean_squared_error
0.03315625129698729
root_mean_squared_error
0.02940317528474904
root_mean_squared_error
0.036876245582621425
root_mean_squared_error
0.021883169876488463
root_relative_squared_error
0.11501667165811917
root_relative_squared_error
0.16702021011893328
root_relative_squared_error
0.1225806219996294
root_relative_squared_error
0.15514095288299923
root_relative_squared_error
0.08557311355154708
root_relative_squared_error
0.1039678600536803
root_relative_squared_error
0.1105302442939346
root_relative_squared_error
0.09801812436577145
root_relative_squared_error
0.12293027506913248
root_relative_squared_error
0.07295010798140857
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
28390.380000000732
usercpu_time_millis
22277.518000000782
usercpu_time_millis
24578.796000001603
usercpu_time_millis
23503.121999998257
usercpu_time_millis
23289.450000003853
usercpu_time_millis
23523.405999996612
usercpu_time_millis
27131.453999998485
usercpu_time_millis
26402.07200000077
usercpu_time_millis
24814.698000001954
usercpu_time_millis
23098.51400000116
usercpu_time_millis_testing
218.3580000000802
usercpu_time_millis_testing
210.11399999952118
usercpu_time_millis_testing
213.40000000054715
usercpu_time_millis_testing
198.94600000043283
usercpu_time_millis_testing
208.2460000019637
usercpu_time_millis_testing
205.06999999997788
usercpu_time_millis_testing
232.62999999860767
usercpu_time_millis_testing
233.0660000006901
usercpu_time_millis_testing
209.0360000001965
usercpu_time_millis_testing
197.90199999988545
usercpu_time_millis_training
28172.022000000652
usercpu_time_millis_training
22067.40400000126
usercpu_time_millis_training
24365.396000001056
usercpu_time_millis_training
23304.175999997824
usercpu_time_millis_training
23081.20400000189
usercpu_time_millis_training
23318.335999996634
usercpu_time_millis_training
26898.823999999877
usercpu_time_millis_training
26169.00600000008
usercpu_time_millis_training
24605.662000001757
usercpu_time_millis_training
22900.612000001274
wall_clock_time_millis
4821.269989013672
wall_clock_time_millis
2899.9671936035156
wall_clock_time_millis
3476.8218994140625
wall_clock_time_millis
3091.228246688843
wall_clock_time_millis
3040.2672290802
wall_clock_time_millis
3090.616464614868
wall_clock_time_millis
4110.909938812256
wall_clock_time_millis
3870.540142059326
wall_clock_time_millis
3537.224054336548
wall_clock_time_millis
3100.8849143981934
wall_clock_time_millis_testing
31.322717666625977
wall_clock_time_millis_testing
27.590274810791016
wall_clock_time_millis_testing
27.34994888305664
wall_clock_time_millis_testing
25.25806427001953
wall_clock_time_millis_testing
28.34796905517578
wall_clock_time_millis_testing
26.441335678100586
wall_clock_time_millis_testing
33.56599807739258
wall_clock_time_millis_testing
32.708168029785156
wall_clock_time_millis_testing
27.33898162841797
wall_clock_time_millis_testing
25.156021118164062
wall_clock_time_millis_training
4789.947271347046
wall_clock_time_millis_training
2872.3769187927246
wall_clock_time_millis_training
3449.471950531006
wall_clock_time_millis_training
3065.9701824188232
wall_clock_time_millis_training
3011.9192600250244
wall_clock_time_millis_training
3064.1751289367676
wall_clock_time_millis_training
4077.3439407348633
wall_clock_time_millis_training
3837.831974029541
wall_clock_time_millis_training
3509.88507270813
wall_clock_time_millis_training
3075.7288932800293