10367871
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)
8223223
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
1066.720249983584
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.5152191769846266
13389
decision_function_shape
"ovr"
13389
degree
1
13389
gamma
0.08929278293093357
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
28757
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
21657447
description
https://api.openml.org/data/download/21657447/description.xml
-1
21657448
predictions
https://api.openml.org/data/download/21657448/predictions.arff
area_under_roc_curve
0.7209850746268657 [0.720985,0.720985]
average_cost
0
f_measure
0.7625350624170619 [0.834275,0.628692]
kappa
0.4670367800138793
kb_relative_information_score
0.4751048397231441
mean_absolute_error
0.22916666666666666
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7655895495744508 [0.788256,0.723301]
predictive_accuracy
0.7708333333333333
prior_entropy
0.9331348051619819
recall
0.7708333333333334 [0.886,0.55597]
relative_absolute_error
0.5042266936540084
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.47871355387816905
root_relative_squared_error
1.0043484129207072
total_cost
0
area_under_roc_curve
0.8103703703703704 [0.81037,0.81037]
area_under_roc_curve
0.6237037037037036 [0.623704,0.623704]
area_under_roc_curve
0.7277777777777777 [0.727778,0.727778]
area_under_roc_curve
0.6822222222222221 [0.682222,0.682222]
area_under_roc_curve
0.7548148148148148 [0.754815,0.754815]
area_under_roc_curve
0.8003703703703704 [0.80037,0.80037]
area_under_roc_curve
0.7177777777777776 [0.717778,0.717778]
area_under_roc_curve
0.7492592592592593 [0.749259,0.749259]
area_under_roc_curve
0.7000000000000001 [0.7,0.7]
area_under_roc_curve
0.6407692307692309 [0.640769,0.640769]
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
0.8304118821585662 [0.871287,0.754717]
f_measure
0.6727523684045422 [0.777778,0.478261]
f_measure
0.7700015236304757 [0.841121,0.638298]
f_measure
0.7339118036792455 [0.828829,0.55814]
f_measure
0.7878921078921078 [0.846154,0.68]
f_measure
0.8181818181818181 [0.86,0.740741]
f_measure
0.7582394021073267 [0.830189,0.625]
f_measure
0.801948051948052 [0.875,0.666667]
f_measure
0.7503987240829346 [0.833333,0.590909]
f_measure
0.6884765104249988 [0.780952,0.510638]
kappa
0.6260739633918567
kappa
0.2655007949125597
kappa
0.48444269397400563
kappa
0.4021250510829588
kappa
0.5276073619631902
kappa
0.6007407407407408
kappa
0.459016393442623
kappa
0.5552805280528054
kappa
0.4318936877076413
kappa
0.29516129032258054
kb_relative_information_score
0.6139280939002139
kb_relative_information_score
0.28725186566193417
kb_relative_information_score
0.4951367381772037
kb_relative_information_score
0.4357410603156983
kb_relative_information_score
0.5248345771079564
kb_relative_information_score
0.5842302549694612
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.5842302549694617
kb_relative_information_score
0.4539264351680107
kb_relative_information_score
0.30223933382579077
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.3116883116883117
mean_absolute_error
0.22077922077922077
mean_absolute_error
0.24675324675324675
mean_absolute_error
0.2077922077922078
mean_absolute_error
0.18181818181818182
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.18181818181818182
mean_absolute_error
0.23684210526315788
mean_absolute_error
0.3026315789473684
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
0.8299543593661242 [0.862745,0.769231]
precision
0.6732269545336695 [0.724138,0.578947]
precision
0.7756322624743677 [0.789474,0.75]
precision
0.7526612731530764 [0.754098,0.75]
precision
0.788276136102223 [0.814815,0.73913]
precision
0.8181818181818182 [0.86,0.740741]
precision
0.7606679035250463 [0.785714,0.714286]
precision
0.8404692082111437 [0.790323,0.933333]
precision
0.7575115950796532 [0.775862,0.722222]
precision
0.6859193438140806 [0.745455,0.571429]
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.6883116883116882
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.763157894736842
predictive_accuracy
0.6973684210526316
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 [0.88,0.740741]
recall
0.6883116883116883 [0.84,0.407407]
recall
0.7792207792207793 [0.9,0.555556]
recall
0.7532467532467533 [0.92,0.444444]
recall
0.7922077922077922 [0.88,0.62963]
recall
0.8181818181818182 [0.86,0.740741]
recall
0.7662337662337663 [0.88,0.555556]
recall
0.8181818181818182 [0.98,0.518519]
recall
0.7631578947368421 [0.9,0.5]
recall
0.6973684210526315 [0.82,0.461538]
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.6850279868035726
relative_absolute_error
0.4852281573191972
relative_absolute_error
0.5423138228861615
relative_absolute_error
0.45668532453571503
relative_absolute_error
0.3995996589687507
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.3995996589687507
relative_absolute_error
0.5234929747696018
relative_absolute_error
0.66890768998338
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
0.5582905262390825
root_mean_squared_error
0.4698714938993648
root_mean_squared_error
0.496742636335202
root_mean_squared_error
0.4558423058385518
root_mean_squared_error
0.4264014327112209
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.4264014327112209
root_mean_squared_error
0.4866642633922876
root_mean_squared_error
0.5501196042201808
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.169990918360609
root_relative_squared_error
0.9846940881518128
root_relative_squared_error
1.0410070491251833
root_relative_squared_error
0.9552935845579276
root_relative_squared_error
0.8935953242997315
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
0.8935953242997315
root_relative_squared_error
1.025700885786965
root_relative_squared_error
1.159440311898513
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
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usercpu_time_millis
1038.1123529998604
usercpu_time_millis
385.37064299998747
usercpu_time_millis
515.8011430000897
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usercpu_time_millis
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usercpu_time_millis
393.7349389998417
usercpu_time_millis
355.82437199991546
usercpu_time_millis
478.42455600016365
usercpu_time_millis_testing
1.530172999991919
usercpu_time_millis_testing
1.460341999973025
usercpu_time_millis_testing
0.9436029999960738
usercpu_time_millis_testing
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usercpu_time_millis_testing
0.9437789999537927
usercpu_time_millis_testing
1.675614999840036
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
0.9186479999243602
usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
354.9057239999911
usercpu_time_millis_training
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wall_clock_time_millis
1014.5337581634521
wall_clock_time_millis
1038.1577014923096
wall_clock_time_millis
385.38146018981934
wall_clock_time_millis
515.8357620239258
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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