10362813
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)
8218285
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
0.039974679529650115
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.011042887629764929
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
64740
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
21647328
description
https://api.openml.org/data/download/21647328/description.xml
-1
21647329
predictions
https://api.openml.org/data/download/21647329/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
39.26051898451988
usercpu_time_millis
37.26018899760675
usercpu_time_millis
37.2497979842592
usercpu_time_millis
37.20130001602229
usercpu_time_millis
36.72823899250943
usercpu_time_millis
36.34821499872487
usercpu_time_millis
36.795210995478556
usercpu_time_millis
36.248900010832585
usercpu_time_millis
37.51078397908714
usercpu_time_millis
37.34520798025187
usercpu_time_millis_testing
3.4026279899990186
usercpu_time_millis_testing
3.4935959993163124
usercpu_time_millis_testing
3.495261989883147
usercpu_time_millis_testing
3.4076340089086443
usercpu_time_millis_testing
3.421625995542854
usercpu_time_millis_testing
3.319511000881903
usercpu_time_millis_testing
3.434708996792324
usercpu_time_millis_testing
3.2924350089160725
usercpu_time_millis_testing
3.502965992083773
usercpu_time_millis_testing
3.474244993412867
usercpu_time_millis_training
35.85789099452086
usercpu_time_millis_training
33.766592998290434
usercpu_time_millis_training
33.754535994376056
usercpu_time_millis_training
33.79366600711364
usercpu_time_millis_training
33.30661299696658
usercpu_time_millis_training
33.02870399784297
usercpu_time_millis_training
33.36050199868623
usercpu_time_millis_training
32.95646500191651
usercpu_time_millis_training
34.007817987003364
usercpu_time_millis_training
33.870962986839004
wall_clock_time_millis
39.278507232666016
wall_clock_time_millis
37.27841377258301
wall_clock_time_millis
37.267208099365234
wall_clock_time_millis
37.21332550048828
wall_clock_time_millis
36.742210388183594
wall_clock_time_millis
36.364078521728516
wall_clock_time_millis
36.81325912475586
wall_clock_time_millis
36.266326904296875
wall_clock_time_millis
37.52255439758301
wall_clock_time_millis
37.36138343811035
wall_clock_time_millis_testing
3.411531448364258
wall_clock_time_millis_testing
3.5037994384765625
wall_clock_time_millis_testing
3.506183624267578
wall_clock_time_millis_testing
3.416776657104492
wall_clock_time_millis_testing
3.430604934692383
wall_clock_time_millis_testing
3.3333301544189453
wall_clock_time_millis_testing
3.446340560913086
wall_clock_time_millis_testing
3.3049583435058594
wall_clock_time_millis_testing
3.5119056701660156
wall_clock_time_millis_testing
3.486156463623047
wall_clock_time_millis_training
35.86697578430176
wall_clock_time_millis_training
33.774614334106445
wall_clock_time_millis_training
33.761024475097656
wall_clock_time_millis_training
33.79654884338379
wall_clock_time_millis_training
33.31160545349121
wall_clock_time_millis_training
33.03074836730957
wall_clock_time_millis_training
33.36691856384277
wall_clock_time_millis_training
32.961368560791016
wall_clock_time_millis_training
34.01064872741699
wall_clock_time_millis_training
33.875226974487305