10367885
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)
8223237
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
341.13570414927165
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.40925841203009883
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.0879431242461166
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
31568
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
21657475
description
https://api.openml.org/data/download/21657475/description.xml
-1
21657476
predictions
https://api.openml.org/data/download/21657476/predictions.arff
area_under_roc_curve
0.6658507462686568 [0.665851,0.665851]
average_cost
0
f_measure
0.697382774665748 [0.768924,0.56391]
kappa
0.3328540618260243
kb_relative_information_score
0.3080927432714165
mean_absolute_error
0.3020833333333333
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.696887025012025 [0.765873,0.568182]
predictive_accuracy
0.6979166666666667
prior_entropy
0.9331348051619819
recall
0.6979166666666666 [0.772,0.559701]
relative_absolute_error
0.6646624598166475
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.5496210815947049
root_relative_squared_error
1.15311349874144
total_cost
0
area_under_roc_curve
0.6592592592592592 [0.659259,0.659259]
area_under_roc_curve
0.5807407407407408 [0.580741,0.580741]
area_under_roc_curve
0.7218518518518519 [0.721852,0.721852]
area_under_roc_curve
0.6307407407407407 [0.630741,0.630741]
area_under_roc_curve
0.6192592592592593 [0.619259,0.619259]
area_under_roc_curve
0.6848148148148149 [0.684815,0.684815]
area_under_roc_curve
0.6222222222222222 [0.622222,0.622222]
area_under_roc_curve
0.8018518518518518 [0.801852,0.801852]
area_under_roc_curve
0.6884615384615383 [0.688462,0.688462]
area_under_roc_curve
0.6492307692307694 [0.649231,0.649231]
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
0.6968633878970829 [0.776699,0.54902]
f_measure
0.613371322554996 [0.693878,0.464286]
f_measure
0.731651934149704 [0.778947,0.644068]
f_measure
0.6705036824968293 [0.757282,0.509804]
f_measure
0.6507674144037779 [0.727273,0.509091]
f_measure
0.7045401695428826 [0.762887,0.596491]
f_measure
0.6664899726124217 [0.761905,0.489796]
f_measure
0.8286619148983513 [0.873786,0.745098]
f_measure
0.722343132146032 [0.792079,0.588235]
f_measure
0.6842105263157895 [0.76,0.538462]
kappa
0.32687191182060055
kappa
0.15877640203932997
kappa
0.4255772646536413
kappa
0.26833903458760927
kappa
0.23650385604113103
kappa
0.36041892379920554
kappa
0.2553191489361703
kappa
0.619536297985557
kappa
0.3804347826086957
kappa
0.29846153846153856
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.10906483207741705
kb_relative_information_score
0.37634538245419263
kb_relative_information_score
0.25755402673118133
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.25755402673118133
kb_relative_information_score
0.6139280939002141
kb_relative_information_score
0.3629141743626787
kb_relative_information_score
0.2719019135573468
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.38961038961038963
mean_absolute_error
0.2727272727272727
mean_absolute_error
0.3246753246753247
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.3246753246753247
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.27631578947368424
mean_absolute_error
0.3157894736842105
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
0.6946214163195296 [0.754717,0.583333]
precision
0.6171443499029707 [0.708333,0.448276]
precision
0.7421085858585859 [0.822222,0.59375]
precision
0.6677591276647881 [0.735849,0.541667]
precision
0.652398621786377 [0.734694,0.5]
precision
0.7098922354241503 [0.787234,0.566667]
precision
0.6635182998819362 [0.727273,0.545455]
precision
0.8289328595932369 [0.849057,0.791667]
precision
0.7212590299277606 [0.784314,0.6]
precision
0.6842105263157895 [0.76,0.538462]
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.6103896103896104
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.6753246753246753
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.6753246753246753
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7236842105263157
predictive_accuracy
0.6842105263157895
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
0.7012987012987013 [0.8,0.518519]
recall
0.6103896103896104 [0.68,0.481481]
recall
0.7272727272727273 [0.74,0.703704]
recall
0.6753246753246753 [0.78,0.481481]
recall
0.6493506493506493 [0.72,0.518519]
recall
0.7012987012987013 [0.74,0.62963]
recall
0.6753246753246753 [0.8,0.444444]
recall
0.8311688311688312 [0.9,0.703704]
recall
0.7236842105263158 [0.8,0.576923]
recall
0.6842105263157895 [0.76,0.538462]
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.8562849835044658
relative_absolute_error
0.599399488453126
relative_absolute_error
0.7135708195870546
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.7135708195870546
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.6107418038978688
relative_absolute_error
0.6979906330261357
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
0.5465357250000211
root_mean_squared_error
0.6241877839323593
root_mean_squared_error
0.5222329678670935
root_mean_squared_error
0.5698028822981898
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.5465357250000211
root_mean_squared_error
0.5698028822981898
root_mean_squared_error
0.4108907018066591
root_mean_squared_error
0.5256574830378469
root_mean_squared_error
0.5619514869490163
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
1.3080896132558644
root_relative_squared_error
1.0944262905356
root_relative_squared_error
1.1941169806974095
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
1.1941169806974095
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.1078835791520962
root_relative_squared_error
1.1843773650342835
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
205.73260700007268
usercpu_time_millis
201.8407919999845
usercpu_time_millis
184.77978700002495
usercpu_time_millis
178.6660299999312
usercpu_time_millis
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usercpu_time_millis
106.42649999999776
usercpu_time_millis
123.64590499987571
usercpu_time_millis
91.47370700020474
usercpu_time_millis
98.85407700016913
usercpu_time_millis
109.16756999995414
usercpu_time_millis_testing
2.4462080000375863
usercpu_time_millis_testing
2.3927560000629455
usercpu_time_millis_testing
2.449544999990394
usercpu_time_millis_testing
2.3823900000934373
usercpu_time_millis_testing
1.492297000140752
usercpu_time_millis_testing
1.4900999999554188
usercpu_time_millis_testing
1.5316989999973885
usercpu_time_millis_testing
1.4758890001758118
usercpu_time_millis_testing
1.459923000084018
usercpu_time_millis_testing
1.4483360000667744
usercpu_time_millis_training
203.2863990000351
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
176.28363999983776
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
122.11420599987832
usercpu_time_millis_training
89.99781800002893
usercpu_time_millis_training
97.39415400008511
usercpu_time_millis_training
107.71923399988736
wall_clock_time_millis
205.74235916137695
wall_clock_time_millis
201.86495780944824
wall_clock_time_millis
184.79037284851074
wall_clock_time_millis
178.67612838745117
wall_clock_time_millis
147.4316120147705
wall_clock_time_millis
106.43362998962402
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wall_clock_time_millis
91.48192405700684
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
2.448558807373047
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
2.4521350860595703
wall_clock_time_millis_testing
2.3856163024902344
wall_clock_time_millis_testing
1.4944076538085938
wall_clock_time_millis_testing
1.4925003051757812
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
1.4789104461669922
wall_clock_time_millis_testing
1.4624595642089844
wall_clock_time_millis_testing
1.451253890991211
wall_clock_time_millis_training
203.2938003540039
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
176.29051208496094
wall_clock_time_millis_training
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wall_clock_time_millis_training
104.94112968444824
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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