10313727
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)
8172678
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
1e-09
15084
kernel
"laplace"
15084
kernel_params
null
15084
n_components
1000
15084
n_epoch
2
15084
random_state
50970
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
21549063
description
https://api.openml.org/data/download/21549063/description.xml
-1
21549064
predictions
https://api.openml.org/data/download/21549064/predictions.arff
area_under_roc_curve
0.7279701492537315 [0.72797,0.72797]
average_cost
0
f_measure
0.7599828479149945 [0.822612,0.643137]
kappa
0.4664386489952972
kb_relative_information_score
0.4572106865318875
mean_absolute_error
0.23697916666666666
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7588027592726435 [0.802281,0.677686]
predictive_accuracy
0.7630208333333333
prior_entropy
0.9331348051619819
recall
0.7630208333333334 [0.844,0.61194]
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
0.6877777777777778 [0.687778,0.687778]
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
0.7232230932973366 [0.796117,0.588235]
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
0.3854047890535918
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
0.7214837049742711 [0.773585,0.625]
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 [0.82,0.555556]
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
703.8840000000164
usercpu_time_millis
772.74599999987
usercpu_time_millis
672.8400000001784
usercpu_time_millis
652.641999999787
usercpu_time_millis
718.3459999998831
usercpu_time_millis
677.4219999999787
usercpu_time_millis
745.5419999998867
usercpu_time_millis
691.2760000000162
usercpu_time_millis
608.232000000271
usercpu_time_millis
633.7239999998019
usercpu_time_millis_testing
5.658000000039465
usercpu_time_millis_testing
2.05599999981132
usercpu_time_millis_testing
2.3400000000037835
usercpu_time_millis_testing
3.4559999999146385
usercpu_time_millis_testing
3.0639999999948486
usercpu_time_millis_testing
2.007999999932508
usercpu_time_millis_testing
1.97400000001835
usercpu_time_millis_testing
2.944000000070446
usercpu_time_millis_testing
3.3580000001620647
usercpu_time_millis_testing
3.3320000000003347
usercpu_time_millis_training
698.2259999999769
usercpu_time_millis_training
770.6900000000587
usercpu_time_millis_training
670.5000000001746
usercpu_time_millis_training
649.1859999998724
usercpu_time_millis_training
715.2819999998883
usercpu_time_millis_training
675.4140000000461
usercpu_time_millis_training
743.5679999998683
usercpu_time_millis_training
688.3319999999458
usercpu_time_millis_training
604.8740000001089
usercpu_time_millis_training
630.3919999998016
wall_clock_time_millis
188.3258819580078
wall_clock_time_millis
225.64196586608887
wall_clock_time_millis
175.50325393676758
wall_clock_time_millis
168.49994659423828
wall_clock_time_millis
193.0711269378662
wall_clock_time_millis
179.34417724609375
wall_clock_time_millis
206.32004737854004
wall_clock_time_millis
188.49802017211914
wall_clock_time_millis
154.19316291809082
wall_clock_time_millis
164.1697883605957
wall_clock_time_millis_testing
1.7857551574707031
wall_clock_time_millis_testing
1.0581016540527344
wall_clock_time_millis_testing
1.1892318725585938
wall_clock_time_millis_testing
1.1258125305175781
wall_clock_time_millis_testing
0.9729862213134766
wall_clock_time_millis_testing
1.0590553283691406
wall_clock_time_millis_testing
0.9939670562744141
wall_clock_time_millis_testing
0.9860992431640625
wall_clock_time_millis_testing
1.1219978332519531
wall_clock_time_millis_testing
1.1227130889892578
wall_clock_time_millis_training
186.5401268005371
wall_clock_time_millis_training
224.58386421203613
wall_clock_time_millis_training
174.31402206420898
wall_clock_time_millis_training
167.3741340637207
wall_clock_time_millis_training
192.09814071655273
wall_clock_time_millis_training
178.2851219177246
wall_clock_time_millis_training
205.32608032226562
wall_clock_time_millis_training
187.51192092895508
wall_clock_time_millis_training
153.07116508483887
wall_clock_time_millis_training
163.04707527160645