10314682
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)
8173554
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
3
15084
gamma
0.0001
15084
kernel
"rbf"
15084
kernel_params
null
15084
n_components
4000
15084
n_epoch
2
15084
random_state
42670
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
21551010
description
https://api.openml.org/data/download/21551010/description.xml
-1
21551011
predictions
https://api.openml.org/data/download/21551011/predictions.arff
area_under_roc_curve
0.7257164179104477 [0.725716,0.725716]
average_cost
0
f_measure
0.7667509342394631 [0.836946,0.635789]
kappa
0.47660017018058065
kb_relative_information_score
0.48405191631877237
mean_absolute_error
0.22526041666666666
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7698170698890009 [0.791444,0.729469]
predictive_accuracy
0.7747395833333333
prior_entropy
0.9331348051619819
recall
0.7747395833333334 [0.888,0.563433]
relative_absolute_error
0.4956319204667242
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.47461607291227154
root_relative_squared_error
0.9957518347128561
total_cost
0
area_under_roc_curve
0.7733333333333333 [0.773333,0.773333]
area_under_roc_curve
0.6522222222222223 [0.652222,0.652222]
area_under_roc_curve
0.6977777777777778 [0.697778,0.697778]
area_under_roc_curve
0.6066666666666667 [0.606667,0.606667]
area_under_roc_curve
0.7362962962962963 [0.736296,0.736296]
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
0.7584615384615384 [0.758462,0.758462]
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
0.8023022094980975 [0.854369,0.705882]
f_measure
0.7000230043708305 [0.796296,0.521739]
f_measure
0.7348651348651349 [0.807692,0.6]
f_measure
0.6604823747680889 [0.785714,0.428571]
f_measure
0.7732131813764467 [0.838095,0.653061]
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
0.805865674286727 [0.87037,0.681818]
f_measure
0.7459877154745392 [0.815534,0.612245]
kappa
0.5610034207525657
kappa
0.32670906200317973
kappa
0.4095092024539878
kappa
0.23762376237623756
kappa
0.4936170212765959
kappa
0.619536297985557
kappa
0.5276073619631902
kappa
0.5909276665304456
kappa
0.5581395348837209
kappa
0.42879746835443044
kb_relative_information_score
0.5545324160387087
kb_relative_information_score
0.34664754352343985
kb_relative_information_score
0.40604322138494553
kb_relative_information_score
0.2872518656619342
kb_relative_information_score
0.4951367381772036
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
0.19480519480519481
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.2597402597402597
mean_absolute_error
0.3116883116883117
mean_absolute_error
0.22077922077922077
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
0.8020705709384955 [0.830189,0.75]
precision
0.7028778843660877 [0.741379,0.631579]
precision
0.7337348641696468 [0.777778,0.652174]
precision
0.6712191034771681 [0.709677,0.6]
precision
0.7744982290436836 [0.8,0.727273]
precision
0.8289328595932369 [0.849057,0.791667]
precision
0.788276136102223 [0.814815,0.73913]
precision
0.8503433042367468 [0.803279,0.9375]
precision
0.8182093163944343 [0.810345,0.833333]
precision
0.7444626743232158 [0.792453,0.652174]
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.6883116883116882
predictive_accuracy
0.7792207792207791
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
0.8051948051948052 [0.88,0.666667]
recall
0.7142857142857143 [0.86,0.444444]
recall
0.7402597402597403 [0.84,0.555556]
recall
0.6883116883116883 [0.88,0.333333]
recall
0.7792207792207793 [0.88,0.592593]
recall
0.8311688311688312 [0.9,0.703704]
recall
0.7922077922077922 [0.88,0.62963]
recall
0.8311688311688312 [0.98,0.555556]
recall
0.8157894736842105 [0.94,0.576923]
recall
0.75 [0.84,0.576923]
relative_absolute_error
0.4281424917522329
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.5708566556696436
relative_absolute_error
0.6850279868035726
relative_absolute_error
0.4852281573191972
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
0.4413674147523748
root_mean_squared_error
0.5345224838248488
root_mean_squared_error
0.5096471914376255
root_mean_squared_error
0.5582905262390825
root_mean_squared_error
0.4698714938993648
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
0.9249590359329101
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
1.0680506967704846
root_relative_squared_error
1.169990918360609
root_relative_squared_error
0.9846940881518128
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
561.6077380109346
usercpu_time_millis
572.9062109894585
usercpu_time_millis
558.3533759927377
usercpu_time_millis
538.4408499812707
usercpu_time_millis
596.9286660110811
usercpu_time_millis
584.2480429855641
usercpu_time_millis
584.7021450026659
usercpu_time_millis
554.3414109997684
usercpu_time_millis
457.09943599649705
usercpu_time_millis
454.38420500431675
usercpu_time_millis_testing
2.9043620015727356
usercpu_time_millis_testing
3.770525989239104
usercpu_time_millis_testing
3.2309280068147928
usercpu_time_millis_testing
3.2222009904216975
usercpu_time_millis_testing
3.480896004475653
usercpu_time_millis_testing
3.064151998842135
usercpu_time_millis_testing
3.1788530031917617
usercpu_time_millis_testing
3.1631820020265877
usercpu_time_millis_testing
3.135241990094073
usercpu_time_millis_testing
3.2762260088929906
usercpu_time_millis_training
558.7033760093618
usercpu_time_millis_training
569.1356850002194
usercpu_time_millis_training
555.1224479859229
usercpu_time_millis_training
535.218648990849
usercpu_time_millis_training
593.4477700066054
usercpu_time_millis_training
581.183890986722
usercpu_time_millis_training
581.5232919994742
usercpu_time_millis_training
551.1782289977418
usercpu_time_millis_training
453.964194006403
usercpu_time_millis_training
451.10797899542376
wall_clock_time_millis
566.1368370056152
wall_clock_time_millis
573.7650394439697
wall_clock_time_millis
558.4549903869629
wall_clock_time_millis
538.4924411773682
wall_clock_time_millis
596.9681739807129
wall_clock_time_millis
584.2998027801514
wall_clock_time_millis
584.7377777099609
wall_clock_time_millis
554.3684959411621
wall_clock_time_millis
459.17391777038574
wall_clock_time_millis
456.859827041626
wall_clock_time_millis_testing
2.9172897338867188
wall_clock_time_millis_testing
3.7894248962402344
wall_clock_time_millis_testing
3.24249267578125
wall_clock_time_millis_testing
3.2379627227783203
wall_clock_time_millis_testing
3.498554229736328
wall_clock_time_millis_testing
3.079652786254883
wall_clock_time_millis_testing
3.192901611328125
wall_clock_time_millis_testing
3.1800270080566406
wall_clock_time_millis_testing
3.144979476928711
wall_clock_time_millis_testing
3.295421600341797
wall_clock_time_millis_training
563.2195472717285
wall_clock_time_millis_training
569.9756145477295
wall_clock_time_millis_training
555.2124977111816
wall_clock_time_millis_training
535.2544784545898
wall_clock_time_millis_training
593.4696197509766
wall_clock_time_millis_training
581.2201499938965
wall_clock_time_millis_training
581.5448760986328
wall_clock_time_millis_training
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wall_clock_time_millis_training
456.02893829345703
wall_clock_time_millis_training
453.5644054412842