10314117
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)
8173035
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-08
15084
kernel
"rbf"
15084
kernel_params
null
15084
n_components
3000
15084
n_epoch
2
15084
random_state
60039
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
21549843
description
https://api.openml.org/data/download/21549843/description.xml
-1
21549844
predictions
https://api.openml.org/data/download/21549844/predictions.arff
area_under_roc_curve
0.72944776119403 [0.729448,0.729448]
average_cost
0
f_measure
0.769776021344451 [0.838527,0.641509]
kappa
0.4835949542294505
kb_relative_information_score
0.4900166340491912
mean_absolute_error
0.22265625
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7725639759567239 [0.794275,0.732057]
predictive_accuracy
0.77734375
prior_entropy
0.9331348051619819
recall
0.77734375 [0.888,0.570896]
relative_absolute_error
0.48990207167520144
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.47186465220442186
root_relative_squared_error
0.9899793116689207
total_cost
0
area_under_roc_curve
0.7833333333333333 [0.783333,0.783333]
area_under_roc_curve
0.6422222222222224 [0.642222,0.642222]
area_under_roc_curve
0.6977777777777778 [0.697778,0.697778]
area_under_roc_curve
0.6066666666666667 [0.606667,0.606667]
area_under_roc_curve
0.7648148148148148 [0.764815,0.764815]
area_under_roc_curve
0.8018518518518518 [0.801852,0.801852]
area_under_roc_curve
0.7548148148148148 [0.754815,0.754815]
area_under_roc_curve
0.7677777777777778 [0.767778,0.767778]
area_under_roc_curve
0.7676923076923078 [0.767692,0.767692]
area_under_roc_curve
0.7084615384615386 [0.708462,0.708462]
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
0.8144055944055943 [0.865385,0.72]
f_measure
0.688825590794173 [0.785047,0.510638]
f_measure
0.7348651348651349 [0.807692,0.6]
f_measure
0.6604823747680889 [0.785714,0.428571]
f_measure
0.799893983567453 [0.857143,0.693878]
f_measure
0.8286619148983513 [0.873786,0.745098]
f_measure
0.7878921078921078 [0.846154,0.68]
f_measure
0.8179396551489576 [0.882883,0.697674]
f_measure
0.8089892491688613 [0.867925,0.695652]
f_measure
0.7459877154745392 [0.815534,0.612245]
kappa
0.5866564417177915
kappa
0.302481291847184
kappa
0.4095092024539878
kappa
0.23762376237623756
kappa
0.5531914893617023
kappa
0.619536297985557
kappa
0.5276073619631902
kappa
0.5909276665304456
kappa
0.5667752442996743
kappa
0.42879746835443044
kb_relative_information_score
0.5842302549694615
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.40604322138494553
kb_relative_information_score
0.2872518656619342
kb_relative_information_score
0.5545324160387091
kb_relative_information_score
0.613928093900214
kb_relative_information_score
0.5248345771079562
kb_relative_information_score
0.6139280939002145
kb_relative_information_score
0.5752761162417858
kb_relative_information_score
0.42358901489956674
mean_absolute_error
0.18181818181818182
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.2597402597402597
mean_absolute_error
0.3116883116883117
mean_absolute_error
0.19480519480519481
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.2077922077922078
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.18421052631578946
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
0.8155467720685112 [0.833333,0.782609]
precision
0.6888585099111415 [0.736842,0.6]
precision
0.7337348641696468 [0.777778,0.652174]
precision
0.6712191034771681 [0.709677,0.6]
precision
0.8022432113341206 [0.818182,0.772727]
precision
0.8289328595932369 [0.849057,0.791667]
precision
0.788276136102223 [0.814815,0.73913]
precision
0.8503433042367468 [0.803279,0.9375]
precision
0.8140977443609022 [0.821429,0.8]
precision
0.7444626743232158 [0.792453,0.652174]
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.6883116883116882
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.8157894736842105
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
0.8181818181818182 [0.9,0.666667]
recall
0.7012987012987013 [0.84,0.444444]
recall
0.7402597402597403 [0.84,0.555556]
recall
0.6883116883116883 [0.88,0.333333]
recall
0.8051948051948052 [0.9,0.62963]
recall
0.8311688311688312 [0.9,0.703704]
recall
0.7922077922077922 [0.88,0.62963]
recall
0.8311688311688312 [0.98,0.555556]
recall
0.8157894736842105 [0.92,0.615385]
recall
0.75 [0.84,0.576923]
relative_absolute_error
0.3995996589687507
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.5708566556696436
relative_absolute_error
0.6850279868035726
relative_absolute_error
0.4281424917522329
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.45668532453571503
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.4071612025985791
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
0.4264014327112209
root_mean_squared_error
0.5465357250000211
root_mean_squared_error
0.5096471914376255
root_mean_squared_error
0.5582905262390825
root_mean_squared_error
0.4413674147523748
root_mean_squared_error
0.4108907018066591
root_mean_squared_error
0.4558423058385518
root_mean_squared_error
0.4108907018066591
root_mean_squared_error
0.42919753763947605
root_mean_squared_error
0.5
root_relative_squared_error
0.8935953242997315
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
1.0680506967704846
root_relative_squared_error
1.169990918360609
root_relative_squared_error
0.9249590359329101
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
0.9552935845579276
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
0.9045831544436581
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
532.3707369971089
usercpu_time_millis
481.88006800046423
usercpu_time_millis
537.7530569967348
usercpu_time_millis
534.4823750056094
usercpu_time_millis
502.4570030000177
usercpu_time_millis
540.3072289991542
usercpu_time_millis
540.6182509905193
usercpu_time_millis
543.7329550040886
usercpu_time_millis
515.5488230011542
usercpu_time_millis
515.4033540020464
usercpu_time_millis_testing
3.1095099984668195
usercpu_time_millis_testing
2.7184869977645576
usercpu_time_millis_testing
3.143574002024252
usercpu_time_millis_testing
3.002682002261281
usercpu_time_millis_testing
3.0693959997734055
usercpu_time_millis_testing
3.167643000779208
usercpu_time_millis_testing
3.0660479969810694
usercpu_time_millis_testing
3.160968000884168
usercpu_time_millis_testing
3.1383690002257936
usercpu_time_millis_testing
3.0882210048730485
usercpu_time_millis_training
529.2612269986421
usercpu_time_millis_training
479.1615810026997
usercpu_time_millis_training
534.6094829947106
usercpu_time_millis_training
531.4796930033481
usercpu_time_millis_training
499.3876070002443
usercpu_time_millis_training
537.139585998375
usercpu_time_millis_training
537.5522029935382
usercpu_time_millis_training
540.5719870032044
usercpu_time_millis_training
512.4104540009284
usercpu_time_millis_training
512.3151329971734
wall_clock_time_millis
532.4256420135498
wall_clock_time_millis
482.14221000671387
wall_clock_time_millis
537.8003120422363
wall_clock_time_millis
534.5048904418945
wall_clock_time_millis
502.48026847839355
wall_clock_time_millis
540.3351783752441
wall_clock_time_millis
540.6432151794434
wall_clock_time_millis
543.7617301940918
wall_clock_time_millis
515.575647354126
wall_clock_time_millis
515.4478549957275
wall_clock_time_millis_testing
3.1239986419677734
wall_clock_time_millis_testing
2.728700637817383
wall_clock_time_millis_testing
3.162384033203125
wall_clock_time_millis_testing
3.014802932739258
wall_clock_time_millis_testing
3.0791759490966797
wall_clock_time_millis_testing
3.1821727752685547
wall_clock_time_millis_testing
3.078937530517578
wall_clock_time_millis_testing
3.175020217895508
wall_clock_time_millis_testing
3.152132034301758
wall_clock_time_millis_testing
3.101348876953125
wall_clock_time_millis_training
529.301643371582
wall_clock_time_millis_training
479.4135093688965
wall_clock_time_millis_training
534.6379280090332
wall_clock_time_millis_training
531.4900875091553
wall_clock_time_millis_training
499.4010925292969
wall_clock_time_millis_training
537.1530055999756
wall_clock_time_millis_training
537.5642776489258
wall_clock_time_millis_training
540.5867099761963
wall_clock_time_millis_training
512.4235153198242
wall_clock_time_millis_training
512.3465061187744