10328757
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)
8184381
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
2.4202862368600835
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.9939108475186176
13389
decision_function_shape
"ovr"
13389
degree
1
13389
gamma
2.5149029218914563
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
33531
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
21579202
description
https://api.openml.org/data/download/21579202/description.xml
-1
21579203
predictions
https://api.openml.org/data/download/21579203/predictions.arff
area_under_roc_curve
0.5113134328358209 [0.511313,0.511313]
average_cost
0
f_measure
0.5495167114924197 [0.775777,0.127389]
kappa
0.028009755376542586
kb_relative_information_score
0.18283367093262048
mean_absolute_error
0.3567708333333333
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.5791361806977396 [0.65651,0.434783]
predictive_accuracy
0.6432291666666667
prior_entropy
0.9331348051619819
recall
0.6432291666666666 [0.948,0.074627]
relative_absolute_error
0.7849892844386268
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.5973029661179771
root_relative_squared_error
1.253150827239986
total_cost
0
area_under_roc_curve
0.5355555555555556 [0.535556,0.535556]
area_under_roc_curve
0.5270370370370371 [0.527037,0.527037]
area_under_roc_curve
0.497037037037037 [0.497037,0.497037]
area_under_roc_curve
0.5355555555555556 [0.535556,0.535556]
area_under_roc_curve
0.4885185185185186 [0.488519,0.488519]
area_under_roc_curve
0.4785185185185185 [0.478519,0.478519]
area_under_roc_curve
0.5170370370370371 [0.517037,0.517037]
area_under_roc_curve
0.5255555555555556 [0.525556,0.525556]
area_under_roc_curve
0.49923076923076926 [0.499231,0.499231]
area_under_roc_curve
0.5084615384615384 [0.508462,0.508462]
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
0.5767111986374281 [0.786885,0.1875]
f_measure
0.5599497276916632 [0.790323,0.133333]
f_measure
0.5362241064720404 [0.760331,0.121212]
f_measure
0.5767111986374281 [0.786885,0.1875]
f_measure
0.518874254515482 [0.764228,0.064516]
f_measure
0.5115898445816479 [0.754098,0.0625]
f_measure
0.5520553404109659 [0.780488,0.129032]
f_measure
0.568208650853279 [0.77686,0.181818]
f_measure
0.5370722854233987 [0.780488,0.068966]
f_measure
0.5552343936353815 [0.77686,0.129032]
kappa
0.08751139471285312
kappa
0.06797020484171326
kappa
-0.007216959855660766
kappa
0.08751139471285312
kappa
-0.02855826807922625
kappa
-0.052871467639015686
kappa
0.04237678489175489
kappa
0.06224627875507448
kappa
-0.0019531250000001383
kappa
0.020992366412213696
kb_relative_information_score
0.22785618780042838
kb_relative_information_score
0.22785618780042838
kb_relative_information_score
0.13876267100816986
kb_relative_information_score
0.22785618780042838
kb_relative_information_score
0.13876267100816986
kb_relative_information_score
0.10906483207741705
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.18088965275201482
kb_relative_information_score
0.18088965275201482
mean_absolute_error
0.33766233766233766
mean_absolute_error
0.33766233766233766
mean_absolute_error
0.37662337662337664
mean_absolute_error
0.33766233766233766
mean_absolute_error
0.37662337662337664
mean_absolute_error
0.38961038961038963
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.35526315789473684
mean_absolute_error
0.35526315789473684
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
0.6432900432900432 [0.666667,0.6]
precision
0.6637416637416637 [0.662162,0.666667]
precision
0.5375891713919884 [0.647887,0.333333]
precision
0.6432900432900432 [0.666667,0.6]
precision
0.5057374132716599 [0.643836,0.25]
precision
0.484992784992785 [0.638889,0.2]
precision
0.6022949653086639 [0.657534,0.5]
precision
0.6051765136272179 [0.661972,0.5]
precision
0.546623407834655 [0.657534,0.333333]
precision
0.5723498888065234 [0.661972,0.4]
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.6103896103896104
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6447368421052632
predictive_accuracy
0.6447368421052632
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
0.6623376623376623 [0.96,0.111111]
recall
0.6623376623376623 [0.98,0.074074]
recall
0.6233766233766234 [0.92,0.074074]
recall
0.6623376623376623 [0.96,0.111111]
recall
0.6233766233766234 [0.94,0.037037]
recall
0.6103896103896104 [0.92,0.037037]
recall
0.6493506493506493 [0.96,0.074074]
recall
0.6493506493506493 [0.94,0.111111]
recall
0.6447368421052632 [0.96,0.038462]
recall
0.6447368421052632 [0.94,0.076923]
relative_absolute_error
0.742113652370537
relative_absolute_error
0.742113652370537
relative_absolute_error
0.8277421507209834
relative_absolute_error
0.742113652370537
relative_absolute_error
0.8277421507209834
relative_absolute_error
0.8562849835044658
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.7852394621544028
relative_absolute_error
0.7852394621544028
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
0.5810872031479765
root_mean_squared_error
0.5810872031479765
root_mean_squared_error
0.6136964857512031
root_mean_squared_error
0.5810872031479765
root_mean_squared_error
0.6136964857512031
root_mean_squared_error
0.6241877839323593
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.5960395606792697
root_mean_squared_error
0.5960395606792697
root_relative_squared_error
1.217765157217718
root_relative_squared_error
1.217765157217718
root_relative_squared_error
1.28610334801068
root_relative_squared_error
1.217765157217718
root_relative_squared_error
1.28610334801068
root_relative_squared_error
1.3080896132558644
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.2562218994493952
root_relative_squared_error
1.2562218994493952
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
48.92710500280373
usercpu_time_millis
50.06916099227965
usercpu_time_millis
50.10748701170087
usercpu_time_millis
48.496432005777024
usercpu_time_millis
48.116808000486344
usercpu_time_millis
48.82329401152674
usercpu_time_millis
48.88538601517212
usercpu_time_millis
48.62614901503548
usercpu_time_millis
50.53774100088049
usercpu_time_millis
49.086150000221096
usercpu_time_millis_testing
3.9050199993653223
usercpu_time_millis_testing
3.797832003328949
usercpu_time_millis_testing
3.8508090074174106
usercpu_time_millis_testing
3.8497269997606054
usercpu_time_millis_testing
3.8713690009899437
usercpu_time_millis_testing
3.870019005262293
usercpu_time_millis_testing
3.862805009703152
usercpu_time_millis_testing
3.878137009451166
usercpu_time_millis_testing
3.8434549933299422
usercpu_time_millis_testing
3.8206280005397275
usercpu_time_millis_training
45.022085003438406
usercpu_time_millis_training
46.2713289889507
usercpu_time_millis_training
46.25667800428346
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
44.95327500626445
usercpu_time_millis_training
45.022581005468965
usercpu_time_millis_training
44.748012005584314
usercpu_time_millis_training
46.694286007550545
usercpu_time_millis_training
45.26552199968137
wall_clock_time_millis
72.9665756225586
wall_clock_time_millis
50.440073013305664
wall_clock_time_millis
50.14777183532715
wall_clock_time_millis
48.51651191711426
wall_clock_time_millis
48.15554618835449
wall_clock_time_millis
48.845767974853516
wall_clock_time_millis
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wall_clock_time_millis
48.64621162414551
wall_clock_time_millis
50.563812255859375
wall_clock_time_millis
49.13902282714844
wall_clock_time_millis_testing
3.916025161743164
wall_clock_time_millis_testing
3.8275718688964844
wall_clock_time_millis_testing
3.860950469970703
wall_clock_time_millis_testing
3.8602352142333984
wall_clock_time_millis_testing
3.88336181640625
wall_clock_time_millis_testing
3.882169723510742
wall_clock_time_millis_testing
3.875255584716797
wall_clock_time_millis_testing
3.888845443725586
wall_clock_time_millis_testing
3.8568973541259766
wall_clock_time_millis_testing
3.8330554962158203
wall_clock_time_millis_training
69.05055046081543
wall_clock_time_millis_training
46.61250114440918
wall_clock_time_millis_training
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wall_clock_time_millis_training
44.65627670288086
wall_clock_time_millis_training
44.27218437194824
wall_clock_time_millis_training
44.96359825134277
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
45.30596733093262