10328717
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)
8184341
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
0.17955924077736077
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.9087481271015305
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.7901091993219369
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
52973
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
21579122
description
https://api.openml.org/data/download/21579122/description.xml
-1
21579123
predictions
https://api.openml.org/data/download/21579123/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
37.580799995339476
usercpu_time_millis
37.00632198888343
usercpu_time_millis
37.644183001248166
usercpu_time_millis
36.65667399764061
usercpu_time_millis
36.80657999939285
usercpu_time_millis
37.04782298882492
usercpu_time_millis
39.00920299929567
usercpu_time_millis
35.569188999943435
usercpu_time_millis
34.72582399263047
usercpu_time_millis
35.40024999529123
usercpu_time_millis_testing
3.422070003580302
usercpu_time_millis_testing
3.2555899961153045
usercpu_time_millis_testing
3.4867469948949292
usercpu_time_millis_testing
3.399280001758598
usercpu_time_millis_testing
3.365878001204692
usercpu_time_millis_testing
3.486349989543669
usercpu_time_millis_testing
3.4447149955667555
usercpu_time_millis_testing
3.161118002026342
usercpu_time_millis_testing
3.106072996160947
usercpu_time_millis_testing
3.1787269981577992
usercpu_time_millis_training
34.158729991759174
usercpu_time_millis_training
33.750731992768124
usercpu_time_millis_training
34.15743600635324
usercpu_time_millis_training
33.25739399588201
usercpu_time_millis_training
33.44070199818816
usercpu_time_millis_training
33.56147299928125
usercpu_time_millis_training
35.56448800372891
usercpu_time_millis_training
32.40807099791709
usercpu_time_millis_training
31.61975099646952
usercpu_time_millis_training
32.221522997133434
wall_clock_time_millis
37.59884834289551
wall_clock_time_millis
45.06230354309082
wall_clock_time_millis
45.66764831542969
wall_clock_time_millis
36.68856620788574
wall_clock_time_millis
67.2605037689209
wall_clock_time_millis
69.07415390014648
wall_clock_time_millis
55.02152442932129
wall_clock_time_millis
51.60379409790039
wall_clock_time_millis
34.780263900756836
wall_clock_time_millis
35.44306755065918
wall_clock_time_millis_testing
3.4322738647460938
wall_clock_time_millis_testing
3.2629966735839844
wall_clock_time_millis_testing
3.497600555419922
wall_clock_time_millis_testing
3.41033935546875
wall_clock_time_millis_testing
3.3774375915527344
wall_clock_time_millis_testing
3.498554229736328
wall_clock_time_millis_testing
3.4551620483398438
wall_clock_time_millis_testing
3.1676292419433594
wall_clock_time_millis_testing
3.113269805908203
wall_clock_time_millis_testing
3.184795379638672
wall_clock_time_millis_training
34.166574478149414
wall_clock_time_millis_training
41.799306869506836
wall_clock_time_millis_training
42.170047760009766
wall_clock_time_millis_training
33.27822685241699
wall_clock_time_millis_training
63.883066177368164
wall_clock_time_millis_training
65.57559967041016
wall_clock_time_millis_training
51.566362380981445
wall_clock_time_millis_training
48.43616485595703
wall_clock_time_millis_training
31.666994094848633
wall_clock_time_millis_training
32.25827217102051