10314686
8323
Heinrich Peters
37
Supervised Classification
15083
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1)
8173558
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
memory
null
15083
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "fkceigenpro", "step_name": "fkceigenpro"}}]
15083
verbose
false
15083
bandwidth
5
15084
batch_size
"auto"
15084
coef0
1
15084
degree
2
15084
gamma
1000000000.0
15084
kernel
"laplace"
15084
kernel_params
null
15084
n_components
2000
15084
n_epoch
2
15084
random_state
33515
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
21551018
description
https://api.openml.org/data/download/21551018/description.xml
-1
21551019
predictions
https://api.openml.org/data/download/21551019/predictions.arff
area_under_roc_curve
0.7271044776119403 [0.727104,0.727104]
average_cost
0
f_measure
0.7597172541540284 [0.822957,0.641732]
kappa
0.46549192364170344
kb_relative_information_score
0.4572106865318875
mean_absolute_error
0.23697916666666666
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7585740214646465 [0.801136,0.679167]
predictive_accuracy
0.7630208333333333
prior_entropy
0.9331348051619819
recall
0.7630208333333334 [0.846,0.608209]
relative_absolute_error
0.521416240028577
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.48680506023116343
root_relative_squared_error
1.0213245179378547
total_cost
0
area_under_roc_curve
0.8188888888888889 [0.818889,0.818889]
area_under_roc_curve
0.6692592592592592 [0.669259,0.669259]
area_under_roc_curve
0.7233333333333334 [0.723333,0.723333]
area_under_roc_curve
0.6622222222222223 [0.662222,0.662222]
area_under_roc_curve
0.6777777777777779 [0.677778,0.677778]
area_under_roc_curve
0.8103703703703704 [0.81037,0.81037]
area_under_roc_curve
0.6792592592592593 [0.679259,0.679259]
area_under_roc_curve
0.7848148148148149 [0.784815,0.784815]
area_under_roc_curve
0.7184615384615385 [0.718462,0.718462]
area_under_roc_curve
0.7269230769230769 [0.726923,0.726923]
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
0.8318509773055228 [0.868687,0.763636]
f_measure
0.7083516483516483 [0.788462,0.56]
f_measure
0.7422475483699973 [0.795918,0.642857]
f_measure
0.7112593828190158 [0.807339,0.533333]
f_measure
0.7115923292393881 [0.784314,0.576923]
f_measure
0.8304118821585662 [0.871287,0.754717]
f_measure
0.7198515769944341 [0.8,0.571429]
f_measure
0.8241188121880109 [0.878505,0.723404]
f_measure
0.7578441295546557 [0.826923,0.625]
f_measure
0.7510958643034115 [0.808081,0.641509]
kappa
0.6323907455012855
kappa
0.3504601226993866
kappa
0.43918426802622007
kappa
0.35138387484957884
kappa
0.3617181612660135
kappa
0.6260739633918567
kappa
0.3744680851063831
kappa
0.6057502953918867
kappa
0.45367412140575086
kappa
0.4496951219512195
kb_relative_information_score
0.6139280939002139
kb_relative_information_score
0.34664754352343985
kb_relative_information_score
0.40604322138494553
kb_relative_information_score
0.37634538245419263
kb_relative_information_score
0.34664754352343985
kb_relative_information_score
0.6139280939002139
kb_relative_information_score
0.37634538245419263
kb_relative_information_score
0.6139280939002144
kb_relative_information_score
0.45392643516801073
kb_relative_information_score
0.42358901489956674
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.2597402597402597
mean_absolute_error
0.2727272727272727
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.2727272727272727
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.23684210526315788
mean_absolute_error
0.25
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.45242652084757423
mean_prior_absolute_error
0.45242652084757423
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
precision
0.8328253379273788 [0.877551,0.75]
precision
0.7064642282033586 [0.759259,0.608696]
precision
0.7452418271383789 [0.8125,0.62069]
precision
0.7180277349768875 [0.745763,0.666667]
precision
0.70989010989011 [0.769231,0.6]
precision
0.8299543593661242 [0.862745,0.769231]
precision
0.71900826446281 [0.763636,0.636364]
precision
0.8334814308498518 [0.824561,0.85]
precision
0.7571327308169413 [0.796296,0.681818]
precision
0.7524565381708238 [0.816327,0.62963]
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.763157894736842
predictive_accuracy
0.75
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9269862002370954
prior_entropy
0.9269862002370954
recall
0.8311688311688312 [0.86,0.777778]
recall
0.7142857142857143 [0.82,0.518519]
recall
0.7402597402597403 [0.78,0.666667]
recall
0.7272727272727273 [0.88,0.444444]
recall
0.7142857142857143 [0.8,0.555556]
recall
0.8311688311688312 [0.88,0.740741]
recall
0.7272727272727273 [0.84,0.518519]
recall
0.8311688311688312 [0.94,0.62963]
recall
0.7631578947368421 [0.86,0.576923]
recall
0.75 [0.8,0.653846]
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.5708566556696436
relative_absolute_error
0.599399488453126
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.599399488453126
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.5234929747696018
relative_absolute_error
0.5525759178123575
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4744699650121647
root_mean_prior_squared_error
0.4744699650121647
root_mean_squared_error
0.4108907018066591
root_mean_squared_error
0.5345224838248488
root_mean_squared_error
0.5096471914376255
root_mean_squared_error
0.5222329678670935
root_mean_squared_error
0.5345224838248488
root_mean_squared_error
0.4108907018066591
root_mean_squared_error
0.5222329678670935
root_mean_squared_error
0.4108907018066591
root_mean_squared_error
0.4866642633922876
root_mean_squared_error
0.5
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
1.0680506967704846
root_relative_squared_error
1.0944262905356
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.0944262905356
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.025700885786965
root_relative_squared_error
1.0538074838671416
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
505.9285449970048
usercpu_time_millis
501.25294300960377
usercpu_time_millis
506.6797299950849
usercpu_time_millis
601.5622700069798
usercpu_time_millis
657.7890390035463
usercpu_time_millis
608.8339659909252
usercpu_time_millis
613.0465780006489
usercpu_time_millis
630.4990499920677
usercpu_time_millis
582.3757019970799
usercpu_time_millis
572.1227370086126
usercpu_time_millis_testing
3.500421007629484
usercpu_time_millis_testing
3.430618002312258
usercpu_time_millis_testing
3.713660000357777
usercpu_time_millis_testing
3.2854680030141026
usercpu_time_millis_testing
3.6303689994383603
usercpu_time_millis_testing
3.439544001594186
usercpu_time_millis_testing
3.498288002447225
usercpu_time_millis_testing
3.657084991573356
usercpu_time_millis_testing
3.560858007404022
usercpu_time_millis_testing
3.3367120049661025
usercpu_time_millis_training
502.4281239893753
usercpu_time_millis_training
497.8223250072915
usercpu_time_millis_training
502.96606999472715
usercpu_time_millis_training
598.2768020039657
usercpu_time_millis_training
654.158670004108
usercpu_time_millis_training
605.394421989331
usercpu_time_millis_training
609.5482899982017
usercpu_time_millis_training
626.8419650004944
usercpu_time_millis_training
578.8148439896759
usercpu_time_millis_training
568.7860250036465
wall_clock_time_millis
505.9683322906494
wall_clock_time_millis
501.5432834625244
wall_clock_time_millis
508.6648464202881
wall_clock_time_millis
603.2750606536865
wall_clock_time_millis
660.8819961547852
wall_clock_time_millis
610.7931137084961
wall_clock_time_millis
615.1096820831299
wall_clock_time_millis
634.1831684112549
wall_clock_time_millis
584.4149589538574
wall_clock_time_millis
573.7595558166504
wall_clock_time_millis_testing
3.515481948852539
wall_clock_time_millis_testing
3.448486328125
wall_clock_time_millis_testing
3.726482391357422
wall_clock_time_millis_testing
3.3664703369140625
wall_clock_time_millis_testing
3.810405731201172
wall_clock_time_millis_testing
3.4503936767578125
wall_clock_time_millis_testing
3.515005111694336
wall_clock_time_millis_testing
3.6749839782714844
wall_clock_time_millis_testing
3.574848175048828
wall_clock_time_millis_testing
3.3521652221679688
wall_clock_time_millis_training
502.4528503417969
wall_clock_time_millis_training
498.0947971343994
wall_clock_time_millis_training
504.93836402893066
wall_clock_time_millis_training
599.9085903167725
wall_clock_time_millis_training
657.071590423584
wall_clock_time_millis_training
607.3427200317383
wall_clock_time_millis_training
611.5946769714355
wall_clock_time_millis_training
630.5081844329834
wall_clock_time_millis_training
580.8401107788086
wall_clock_time_millis_training
570.4073905944824