10328838
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)
8184462
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
36.08550842537873
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.045747192972740616
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
17423
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
21579364
description
https://api.openml.org/data/download/21579364/description.xml
-1
21579365
predictions
https://api.openml.org/data/download/21579365/predictions.arff
area_under_roc_curve
0.7107164179104477 [0.710716,0.710716]
average_cost
0
f_measure
0.7491007205941651 [0.820268,0.616327]
kappa
0.43891065099794824
kb_relative_information_score
0.43931653334063137
mean_absolute_error
0.24479166666666666
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.74888728013728 [0.785714,0.68018]
predictive_accuracy
0.7552083333333333
prior_entropy
0.9331348051619819
recall
0.7552083333333334 [0.858,0.563433]
relative_absolute_error
0.5386057864031454
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.4947642536265799
root_relative_squared_error
1.0380230283310865
total_cost
0
area_under_roc_curve
0.7833333333333333 [0.783333,0.783333]
area_under_roc_curve
0.6492592592592593 [0.649259,0.649259]
area_under_roc_curve
0.7818518518518518 [0.781852,0.781852]
area_under_roc_curve
0.5881481481481482 [0.588148,0.588148]
area_under_roc_curve
0.6792592592592593 [0.679259,0.679259]
area_under_roc_curve
0.7818518518518518 [0.781852,0.781852]
area_under_roc_curve
0.6792592592592593 [0.679259,0.679259]
area_under_roc_curve
0.7762962962962963 [0.776296,0.776296]
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
0.8144055944055943 [0.865385,0.72]
f_measure
0.6853734500793325 [0.764706,0.538462]
f_measure
0.8043214024906533 [0.851485,0.716981]
f_measure
0.642527772249335 [0.778761,0.390244]
f_measure
0.7198515769944341 [0.8,0.571429]
f_measure
0.8043214024906533 [0.851485,0.716981]
f_measure
0.7198515769944341 [0.8,0.571429]
f_measure
0.8212558084117718 [0.880734,0.711111]
f_measure
0.7271274988126593 [0.811321,0.565217]
f_measure
0.736842105263158 [0.8,0.615385]
kappa
0.5866564417177915
kappa
0.3036925395629238
kappa
0.5685468808367576
kappa
0.19825072886297374
kappa
0.3744680851063831
kappa
0.5685468808367576
kappa
0.3744680851063831
kappa
0.5984757320497394
kappa
0.38110749185667747
kappa
0.41538461538461535
kb_relative_information_score
0.5842302549694615
kb_relative_information_score
0.28725186566193417
kb_relative_information_score
0.5545324160387088
kb_relative_information_score
0.25755402673118133
kb_relative_information_score
0.37634538245419263
kb_relative_information_score
0.5545324160387084
kb_relative_information_score
0.37634538245419263
kb_relative_information_score
0.6139280939002145
kb_relative_information_score
0.3932515946311228
kb_relative_information_score
0.3932515946311228
mean_absolute_error
0.18181818181818182
mean_absolute_error
0.3116883116883117
mean_absolute_error
0.19480519480519481
mean_absolute_error
0.3246753246753247
mean_absolute_error
0.2727272727272727
mean_absolute_error
0.19480519480519481
mean_absolute_error
0.2727272727272727
mean_absolute_error
0.16883116883116883
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
0.8155467720685112 [0.833333,0.782609]
precision
0.6833766233766234 [0.75,0.56]
precision
0.8037354802060683 [0.843137,0.730769]
precision
0.6538857967429395 [0.698413,0.571429]
precision
0.71900826446281 [0.763636,0.636364]
precision
0.8037354802060683 [0.843137,0.730769]
precision
0.71900826446281 [0.763636,0.636364]
precision
0.8399735857362977 [0.813559,0.888889]
precision
0.7275375939849624 [0.767857,0.65]
precision
0.7368421052631579 [0.8,0.615385]
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.6883116883116882
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.6753246753246753
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.8311688311688311
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
0.8181818181818182 [0.9,0.666667]
recall
0.6883116883116883 [0.78,0.518519]
recall
0.8051948051948052 [0.86,0.703704]
recall
0.6753246753246753 [0.88,0.296296]
recall
0.7272727272727273 [0.84,0.518519]
recall
0.8051948051948052 [0.86,0.703704]
recall
0.7272727272727273 [0.84,0.518519]
recall
0.8311688311688312 [0.96,0.592593]
recall
0.7368421052631579 [0.86,0.5]
recall
0.7368421052631579 [0.8,0.615385]
relative_absolute_error
0.3995996589687507
relative_absolute_error
0.6850279868035726
relative_absolute_error
0.4281424917522329
relative_absolute_error
0.7135708195870546
relative_absolute_error
0.599399488453126
relative_absolute_error
0.4281424917522329
relative_absolute_error
0.599399488453126
relative_absolute_error
0.3710568261852685
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
0.4264014327112209
root_mean_squared_error
0.5582905262390825
root_mean_squared_error
0.4413674147523748
root_mean_squared_error
0.5698028822981898
root_mean_squared_error
0.5222329678670935
root_mean_squared_error
0.4413674147523748
root_mean_squared_error
0.5222329678670935
root_mean_squared_error
0.4108907018066591
root_mean_squared_error
0.512989176042577
root_mean_squared_error
0.512989176042577
root_relative_squared_error
0.8935953242997315
root_relative_squared_error
1.169990918360609
root_relative_squared_error
0.9249590359329101
root_relative_squared_error
1.1941169806974095
root_relative_squared_error
1.0944262905356
root_relative_squared_error
0.9249590359329101
root_relative_squared_error
1.0944262905356
root_relative_squared_error
0.8610900005613504
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
44.568769008037634
usercpu_time_millis
42.10857600264717
usercpu_time_millis
43.468142990604974
usercpu_time_millis
43.499069986864924
usercpu_time_millis
43.75943100603763
usercpu_time_millis
41.42260699882172
usercpu_time_millis
41.95654900104273
usercpu_time_millis
41.298201016616076
usercpu_time_millis
41.9930479984032
usercpu_time_millis
41.174976009642705
usercpu_time_millis_testing
2.48223400558345
usercpu_time_millis_testing
2.3820729984436184
usercpu_time_millis_testing
2.4820109974825755
usercpu_time_millis_testing
2.4357449874514714
usercpu_time_millis_testing
2.4452569923596457
usercpu_time_millis_testing
2.45457400160376
usercpu_time_millis_testing
2.4312169989570975
usercpu_time_millis_testing
2.4833550123730674
usercpu_time_millis_testing
2.460825999150984
usercpu_time_millis_testing
2.504753996618092
usercpu_time_millis_training
42.086535002454184
usercpu_time_millis_training
39.72650300420355
usercpu_time_millis_training
40.9861319931224
usercpu_time_millis_training
41.06332499941345
usercpu_time_millis_training
41.314174013677984
usercpu_time_millis_training
38.96803299721796
usercpu_time_millis_training
39.525332002085634
usercpu_time_millis_training
38.81484600424301
usercpu_time_millis_training
39.532221999252215
usercpu_time_millis_training
38.67022201302461
wall_clock_time_millis
60.60647964477539
wall_clock_time_millis
42.1290397644043
wall_clock_time_millis
43.509721755981445
wall_clock_time_millis
43.51520538330078
wall_clock_time_millis
43.78342628479004
wall_clock_time_millis
41.44120216369629
wall_clock_time_millis
41.9764518737793
wall_clock_time_millis
41.31746292114258
wall_clock_time_millis
42.01388359069824
wall_clock_time_millis
49.208641052246094
wall_clock_time_millis_testing
2.4919509887695312
wall_clock_time_millis_testing
2.3932456970214844
wall_clock_time_millis_testing
2.5124549865722656
wall_clock_time_millis_testing
2.4445056915283203
wall_clock_time_millis_testing
2.4566650390625
wall_clock_time_millis_testing
2.4640560150146484
wall_clock_time_millis_testing
2.441883087158203
wall_clock_time_millis_testing
2.4940967559814453
wall_clock_time_millis_testing
2.4709701538085938
wall_clock_time_millis_testing
10.509967803955078
wall_clock_time_millis_training
58.11452865600586
wall_clock_time_millis_training
39.73579406738281
wall_clock_time_millis_training
40.99726676940918
wall_clock_time_millis_training
41.07069969177246
wall_clock_time_millis_training
41.32676124572754
wall_clock_time_millis_training
38.97714614868164
wall_clock_time_millis_training
39.534568786621094
wall_clock_time_millis_training
38.82336616516113
wall_clock_time_millis_training
39.54291343688965
wall_clock_time_millis_training
38.698673248291016