10328709
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)
8184333
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
10.452693667466372
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.5864644897807998
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
3.116722283916533e-05
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
10189
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
21579106
description
https://api.openml.org/data/download/21579106/description.xml
-1
21579107
predictions
https://api.openml.org/data/download/21579107/predictions.arff
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
kappa
0
kb_relative_information_score
0.20072782412387716
mean_absolute_error
0.3489583333333333
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
predictive_accuracy
0.6510416666666667
prior_entropy
0.9331348051619819
recall
0.6510416666666666 [1,0]
relative_absolute_error
0.7677997380640583
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.590726953281576
root_relative_squared_error
1.2393542509741164
total_cost
0
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
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
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.2112270730204588
kb_relative_information_score
0.2112270730204588
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.34210526315789475
mean_absolute_error
0.34210526315789475
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]
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6578947368421052
predictive_accuracy
0.6578947368421052
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
0.6493506493506493 [1,0]
recall
0.6493506493506493 [1,0]
recall
0.6493506493506493 [1,0]
recall
0.6493506493506493 [1,0]
recall
0.6493506493506493 [1,0]
recall
0.6493506493506493 [1,0]
recall
0.6493506493506493 [1,0]
recall
0.6493506493506493 [1,0]
recall
0.6578947368421053 [1,0]
recall
0.6578947368421053 [1,0]
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.756156519111647
relative_absolute_error
0.756156519111647
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
0.592156525463792
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.5848976518656018
root_mean_squared_error
0.5848976518656018
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.2327390456645784
root_relative_squared_error
1.2327390456645784
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
18.051841005217284
usercpu_time_millis
20.311131986090913
usercpu_time_millis
18.420489999698475
usercpu_time_millis
18.295697998837568
usercpu_time_millis
18.215913005406037
usercpu_time_millis
18.1522600032622
usercpu_time_millis
18.24582500557881
usercpu_time_millis
18.258365991641767
usercpu_time_millis
18.18985400313977
usercpu_time_millis
17.989090993069112
usercpu_time_millis_testing
1.7743040079949424
usercpu_time_millis_testing
1.7704079946270213
usercpu_time_millis_testing
1.8336409993935376
usercpu_time_millis_testing
1.6802609898149967
usercpu_time_millis_testing
1.6339680005330592
usercpu_time_millis_testing
1.7323990032309666
usercpu_time_millis_testing
1.691637997282669
usercpu_time_millis_testing
1.7299759929301217
usercpu_time_millis_testing
1.6405240021413192
usercpu_time_millis_testing
1.6495919990120456
usercpu_time_millis_training
16.27753699722234
usercpu_time_millis_training
18.540723991463892
usercpu_time_millis_training
16.586849000304937
usercpu_time_millis_training
16.61543700902257
usercpu_time_millis_training
16.581945004872978
usercpu_time_millis_training
16.419861000031233
usercpu_time_millis_training
16.55418700829614
usercpu_time_millis_training
16.528389998711646
usercpu_time_millis_training
16.549330000998452
usercpu_time_millis_training
16.339498994057067
wall_clock_time_millis
18.099546432495117
wall_clock_time_millis
20.372867584228516
wall_clock_time_millis
18.476009368896484
wall_clock_time_millis
18.306970596313477
wall_clock_time_millis
18.225908279418945
wall_clock_time_millis
18.163442611694336
wall_clock_time_millis
18.258333206176758
wall_clock_time_millis
18.269777297973633
wall_clock_time_millis
18.202781677246094
wall_clock_time_millis
18.002033233642578
wall_clock_time_millis_testing
1.783609390258789
wall_clock_time_millis_testing
1.7766952514648438
wall_clock_time_millis_testing
1.8417835235595703
wall_clock_time_millis_testing
1.6863346099853516
wall_clock_time_millis_testing
1.638650894165039
wall_clock_time_millis_testing
1.7380714416503906
wall_clock_time_millis_testing
1.6970634460449219
wall_clock_time_millis_testing
1.7347335815429688
wall_clock_time_millis_testing
1.6450881958007812
wall_clock_time_millis_testing
1.6543865203857422
wall_clock_time_millis_training
16.315937042236328
wall_clock_time_millis_training
18.596172332763672
wall_clock_time_millis_training
16.634225845336914
wall_clock_time_millis_training
16.620635986328125
wall_clock_time_millis_training
16.587257385253906
wall_clock_time_millis_training
16.425371170043945
wall_clock_time_millis_training
16.561269760131836
wall_clock_time_millis_training
16.535043716430664
wall_clock_time_millis_training
16.557693481445312
wall_clock_time_millis_training
16.347646713256836