10328831
8323
Heinrich Peters
37
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8184455
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
C
7.013344375249213
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.4986025326959227
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.14201683116848024
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
65372
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
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": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
21579350
description
https://api.openml.org/data/download/21579350/description.xml
-1
21579351
predictions
https://api.openml.org/data/download/21579351/predictions.arff
area_under_roc_curve
0.712044776119403 [0.712045,0.712045]
average_cost
0
f_measure
0.7471164261606867 [0.815102,0.620278]
kappa
0.4365608579418001
kb_relative_information_score
0.43036945674500315
mean_absolute_error
0.24869791666666666
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7458863501789682 [0.789869,0.66383]
predictive_accuracy
0.7513020833333333
prior_entropy
0.9331348051619819
recall
0.7513020833333334 [0.842,0.58209]
relative_absolute_error
0.5472005595904297
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.49869621681607595
root_relative_squared_error
1.04627234769345
total_cost
0
area_under_roc_curve
0.7448148148148148 [0.744815,0.744815]
area_under_roc_curve
0.6407407407407407 [0.640741,0.640741]
area_under_roc_curve
0.7333333333333333 [0.733333,0.733333]
area_under_roc_curve
0.6907407407407409 [0.690741,0.690741]
area_under_roc_curve
0.6677777777777778 [0.667778,0.667778]
area_under_roc_curve
0.7818518518518518 [0.781852,0.781852]
area_under_roc_curve
0.6692592592592592 [0.669259,0.669259]
area_under_roc_curve
0.8033333333333333 [0.803333,0.803333]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.7076923076923078 [0.707692,0.707692]
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
0.7759425040978439 [0.834951,0.666667]
f_measure
0.6818381618381618 [0.769231,0.52]
f_measure
0.754243736061918 [0.808081,0.654545]
f_measure
0.7387584892172047 [0.825688,0.577778]
f_measure
0.6999594838190019 [0.772277,0.566038]
f_measure
0.8043214024906533 [0.851485,0.716981]
f_measure
0.7083516483516483 [0.788462,0.56]
f_measure
0.8388262680715511 [0.886792,0.75]
f_measure
0.7271274988126593 [0.811321,0.565217]
f_measure
0.736842105263158 [0.8,0.615385]
kappa
0.5024705435195743
kappa
0.2914110429447853
kappa
0.46272493573264784
kappa
0.4131568391496189
kappa
0.3384385506163617
kappa
0.5685468808367576
kappa
0.3504601226993866
kappa
0.6393442622950818
kappa
0.38110749185667747
kappa
0.41538461538461535
kb_relative_information_score
0.49513673817720344
kb_relative_information_score
0.28725186566193417
kb_relative_information_score
0.4357410603156983
kb_relative_information_score
0.4357410603156983
kb_relative_information_score
0.3169497045926869
kb_relative_information_score
0.5545324160387091
kb_relative_information_score
0.34664754352343985
kb_relative_information_score
0.6436259328309668
kb_relative_information_score
0.3932515946311228
kb_relative_information_score
0.3932515946311228
mean_absolute_error
0.22077922077922077
mean_absolute_error
0.3116883116883117
mean_absolute_error
0.24675324675324675
mean_absolute_error
0.24675324675324675
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.19480519480519481
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.15584415584415584
mean_absolute_error
0.2631578947368421
mean_absolute_error
0.2631578947368421
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
0.775208282283754 [0.811321,0.708333]
precision
0.6791935922370705 [0.740741,0.565217]
precision
0.755499602438378 [0.816327,0.642857]
precision
0.74851419766674 [0.762712,0.722222]
precision
0.6988599635658459 [0.764706,0.576923]
precision
0.8037354802060683 [0.843137,0.730769]
precision
0.7064642282033586 [0.759259,0.608696]
precision
0.8455473098330242 [0.839286,0.857143]
precision
0.7275375939849624 [0.767857,0.65]
precision
0.7368421052631579 [0.8,0.615385]
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.6883116883116882
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.8441558441558442
predictive_accuracy
0.736842105263158
predictive_accuracy
0.736842105263158
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
0.7792207792207793 [0.86,0.62963]
recall
0.6883116883116883 [0.8,0.481481]
recall
0.7532467532467533 [0.8,0.666667]
recall
0.7532467532467533 [0.9,0.481481]
recall
0.7012987012987013 [0.78,0.555556]
recall
0.8051948051948052 [0.86,0.703704]
recall
0.7142857142857143 [0.82,0.518519]
recall
0.8441558441558441 [0.94,0.666667]
recall
0.7368421052631579 [0.86,0.5]
recall
0.7368421052631579 [0.8,0.615385]
relative_absolute_error
0.4852281573191972
relative_absolute_error
0.6850279868035726
relative_absolute_error
0.5423138228861615
relative_absolute_error
0.5423138228861615
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.4281424917522329
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.3425139934017863
relative_absolute_error
0.581658860855113
relative_absolute_error
0.581658860855113
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
0.4698714938993648
root_mean_squared_error
0.5582905262390825
root_mean_squared_error
0.496742636335202
root_mean_squared_error
0.496742636335202
root_mean_squared_error
0.5465357250000211
root_mean_squared_error
0.4413674147523748
root_mean_squared_error
0.5345224838248488
root_mean_squared_error
0.39477101697586137
root_mean_squared_error
0.512989176042577
root_mean_squared_error
0.512989176042577
root_relative_squared_error
0.9846940881518128
root_relative_squared_error
1.169990918360609
root_relative_squared_error
1.0410070491251833
root_relative_squared_error
1.0410070491251833
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
0.9249590359329101
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
0.827308512299463
root_relative_squared_error
1.0811836657130123
root_relative_squared_error
1.0811836657130123
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
36.0312709963182
usercpu_time_millis
35.31579999253154
usercpu_time_millis
36.57839600055013
usercpu_time_millis
36.845799011643976
usercpu_time_millis
36.51631700631697
usercpu_time_millis
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usercpu_time_millis
37.10743000556249
usercpu_time_millis
38.27712999191135
usercpu_time_millis
36.79195498989429
usercpu_time_millis
36.51459299726412
usercpu_time_millis_testing
2.6960060058627278
usercpu_time_millis_testing
2.502831004676409
usercpu_time_millis_testing
2.597676997538656
usercpu_time_millis_testing
2.6302500045858324
usercpu_time_millis_testing
2.6023829996120185
usercpu_time_millis_testing
2.6671399973565713
usercpu_time_millis_testing
2.5872700061881915
usercpu_time_millis_testing
2.567371993791312
usercpu_time_millis_testing
2.571131000877358
usercpu_time_millis_testing
2.5471190019743517
usercpu_time_millis_training
33.33526499045547
usercpu_time_millis_training
32.81296898785513
usercpu_time_millis_training
33.98071900301147
usercpu_time_millis_training
34.215549007058144
usercpu_time_millis_training
33.91393400670495
usercpu_time_millis_training
35.24460400512908
usercpu_time_millis_training
34.5201599993743
usercpu_time_millis_training
35.70975799812004
usercpu_time_millis_training
34.220823989016935
usercpu_time_millis_training
33.967473995289765
wall_clock_time_millis
36.05151176452637
wall_clock_time_millis
35.33220291137695
wall_clock_time_millis
36.67116165161133
wall_clock_time_millis
36.86332702636719
wall_clock_time_millis
36.55099868774414
wall_clock_time_millis
37.961483001708984
wall_clock_time_millis
37.139892578125
wall_clock_time_millis
38.29479217529297
wall_clock_time_millis
36.82446479797363
wall_clock_time_millis
68.52459907531738
wall_clock_time_millis_testing
2.705812454223633
wall_clock_time_millis_testing
2.511262893676758
wall_clock_time_millis_testing
2.6094913482666016
wall_clock_time_millis_testing
2.6397705078125
wall_clock_time_millis_testing
2.614259719848633
wall_clock_time_millis_testing
2.6781558990478516
wall_clock_time_millis_testing
2.5975704193115234
wall_clock_time_millis_testing
2.576112747192383
wall_clock_time_millis_testing
2.580404281616211
wall_clock_time_millis_testing
2.5560855865478516
wall_clock_time_millis_training
33.345699310302734
wall_clock_time_millis_training
32.820940017700195
wall_clock_time_millis_training
34.06167030334473
wall_clock_time_millis_training
34.22355651855469
wall_clock_time_millis_training
33.93673896789551
wall_clock_time_millis_training
35.28332710266113
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
34.24406051635742
wall_clock_time_millis_training
65.96851348876953