10367930
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)
8223282
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
140.1628286743181
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0016356557189051856
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
41394
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
21657565
description
https://api.openml.org/data/download/21657565/description.xml
-1
21657566
predictions
https://api.openml.org/data/download/21657566/predictions.arff
area_under_roc_curve
0.7231194029850746 [0.723119,0.723119]
average_cost
0
f_measure
0.7657219284152273 [0.837863,0.63113]
kappa
0.47371423139081664
kb_relative_information_score
0.4840519163187722
mean_absolute_error
0.22526041666666666
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7701995149911817 [0.78836,0.736318]
predictive_accuracy
0.7747395833333333
prior_entropy
0.9331348051619819
recall
0.7747395833333334 [0.894,0.552239]
relative_absolute_error
0.4956319204667242
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.47461607291227154
root_relative_squared_error
0.9957518347128561
total_cost
0
area_under_roc_curve
0.8103703703703704 [0.81037,0.81037]
area_under_roc_curve
0.6337037037037037 [0.633704,0.633704]
area_under_roc_curve
0.7277777777777777 [0.727778,0.727778]
area_under_roc_curve
0.6166666666666667 [0.616667,0.616667]
area_under_roc_curve
0.7648148148148148 [0.764815,0.764815]
area_under_roc_curve
0.8103703703703704 [0.81037,0.81037]
area_under_roc_curve
0.7548148148148148 [0.754815,0.754815]
area_under_roc_curve
0.7492592592592593 [0.749259,0.749259]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.6407692307692309 [0.640769,0.640769]
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
0.8304118821585662 [0.871287,0.754717]
f_measure
0.6837602764208268 [0.788991,0.488889]
f_measure
0.7700015236304757 [0.841121,0.638298]
f_measure
0.6711255504693882 [0.79646,0.439024]
f_measure
0.799893983567453 [0.857143,0.693878]
f_measure
0.8304118821585662 [0.871287,0.754717]
f_measure
0.7878921078921078 [0.846154,0.68]
f_measure
0.801948051948052 [0.875,0.666667]
f_measure
0.773980405559353 [0.854545,0.619048]
f_measure
0.6884765104249988 [0.780952,0.510638]
kappa
0.6260739633918567
kappa
0.2896109105495387
kappa
0.48444269397400563
kappa
0.26239067055393583
kappa
0.5531914893617023
kappa
0.6260739633918567
kappa
0.5276073619631902
kappa
0.5552805280528054
kappa
0.4847457627118644
kappa
0.29516129032258054
kb_relative_information_score
0.6139280939002139
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.4951367381772037
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.5545324160387091
kb_relative_information_score
0.613928093900214
kb_relative_information_score
0.5248345771079562
kb_relative_information_score
0.5842302549694617
kb_relative_information_score
0.5146012757048981
kb_relative_information_score
0.30223933382579077
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.22077922077922077
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.19480519480519481
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.2077922077922078
mean_absolute_error
0.18181818181818182
mean_absolute_error
0.21052631578947367
mean_absolute_error
0.3026315789473684
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
0.8299543593661242 [0.862745,0.769231]
precision
0.687541272287035 [0.728814,0.611111]
precision
0.7756322624743677 [0.789474,0.75]
precision
0.6892393320964749 [0.714286,0.642857]
precision
0.8022432113341206 [0.818182,0.772727]
precision
0.8299543593661242 [0.862745,0.769231]
precision
0.788276136102223 [0.814815,0.73913]
precision
0.8404692082111437 [0.790323,0.933333]
precision
0.7933114035087719 [0.783333,0.8125]
precision
0.6859193438140806 [0.745455,0.571429]
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.7894736842105263
predictive_accuracy
0.6973684210526316
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
0.8311688311688312 [0.88,0.740741]
recall
0.7012987012987013 [0.86,0.407407]
recall
0.7792207792207793 [0.9,0.555556]
recall
0.7012987012987013 [0.9,0.333333]
recall
0.8051948051948052 [0.9,0.62963]
recall
0.8311688311688312 [0.88,0.740741]
recall
0.7922077922077922 [0.88,0.62963]
recall
0.8181818181818182 [0.98,0.518519]
recall
0.7894736842105263 [0.94,0.5]
recall
0.6973684210526315 [0.82,0.461538]
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.4852281573191972
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.4281424917522329
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.45668532453571503
relative_absolute_error
0.3995996589687507
relative_absolute_error
0.46532708868409045
relative_absolute_error
0.66890768998338
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
0.4108907018066591
root_mean_squared_error
0.5465357250000211
root_mean_squared_error
0.4698714938993648
root_mean_squared_error
0.5465357250000211
root_mean_squared_error
0.4413674147523748
root_mean_squared_error
0.4108907018066591
root_mean_squared_error
0.4558423058385518
root_mean_squared_error
0.4264014327112209
root_mean_squared_error
0.45883146774112354
root_mean_squared_error
0.5501196042201808
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
0.9846940881518128
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
0.9249590359329101
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
0.9552935845579276
root_relative_squared_error
0.8935953242997315
root_relative_squared_error
0.9670400690786819
root_relative_squared_error
1.159440311898513
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
34.48859699983586
usercpu_time_millis
35.013840000146956
usercpu_time_millis
35.62456999998176
usercpu_time_millis
35.470536000048014
usercpu_time_millis
34.507086000076015
usercpu_time_millis
33.716309000055844
usercpu_time_millis
34.9089979999917
usercpu_time_millis
34.66534300014246
usercpu_time_millis
35.54112999972858
usercpu_time_millis
34.29844300012519
usercpu_time_millis_testing
2.6522709999881044
usercpu_time_millis_testing
2.650179000056596
usercpu_time_millis_testing
2.706729000010455
usercpu_time_millis_testing
2.591718000076071
usercpu_time_millis_testing
2.5581309998869983
usercpu_time_millis_testing
2.5330270000267774
usercpu_time_millis_testing
2.594702000124016
usercpu_time_millis_testing
2.587027000117814
usercpu_time_millis_testing
2.6318149998587614
usercpu_time_millis_testing
2.559688000019378
usercpu_time_millis_training
31.83632599984776
usercpu_time_millis_training
32.36366100009036
usercpu_time_millis_training
32.917840999971304
usercpu_time_millis_training
32.87881799997194
usercpu_time_millis_training
31.948955000189017
usercpu_time_millis_training
31.183282000029067
usercpu_time_millis_training
32.31429599986768
usercpu_time_millis_training
32.07831600002464
usercpu_time_millis_training
32.90931499986982
usercpu_time_millis_training
31.73875500010581
wall_clock_time_millis
34.494876861572266
wall_clock_time_millis
35.02345085144043
wall_clock_time_millis
35.63284873962402
wall_clock_time_millis
35.47811508178711
wall_clock_time_millis
34.51395034790039
wall_clock_time_millis
33.722639083862305
wall_clock_time_millis
34.915924072265625
wall_clock_time_millis
34.67130661010742
wall_clock_time_millis
35.54821014404297
wall_clock_time_millis
34.30652618408203
wall_clock_time_millis_testing
2.6552677154541016
wall_clock_time_millis_testing
2.653837203979492
wall_clock_time_millis_testing
2.7108192443847656
wall_clock_time_millis_testing
2.594470977783203
wall_clock_time_millis_testing
2.5610923767089844
wall_clock_time_millis_testing
2.5365352630615234
wall_clock_time_millis_testing
2.597332000732422
wall_clock_time_millis_testing
2.590179443359375
wall_clock_time_millis_testing
2.6340484619140625
wall_clock_time_millis_testing
2.562999725341797
wall_clock_time_millis_training
31.839609146118164
wall_clock_time_millis_training
32.36961364746094
wall_clock_time_millis_training
32.92202949523926
wall_clock_time_millis_training
32.883644104003906
wall_clock_time_millis_training
31.952857971191406
wall_clock_time_millis_training
31.18610382080078
wall_clock_time_millis_training
32.3185920715332
wall_clock_time_millis_training
32.08112716674805
wall_clock_time_millis_training
32.914161682128906
wall_clock_time_millis_training
31.743526458740234