10362785
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)
8218257
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
0.6945819136497673
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.8068153098494797
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.05994234861688584
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
8435
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
21647272
description
https://api.openml.org/data/download/21647272/description.xml
-1
21647273
predictions
https://api.openml.org/data/download/21647273/predictions.arff
area_under_roc_curve
0.700134328358209 [0.700134,0.700134]
average_cost
0
f_measure
0.7481692296896097 [0.831647,0.592428]
kappa
0.43286954837460045
kb_relative_information_score
0.45422832766667814
mean_absolute_error
0.23828125
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7577300712020104 [0.770017,0.734807]
predictive_accuracy
0.76171875
prior_entropy
0.9331348051619819
recall
0.76171875 [0.904,0.496269]
relative_absolute_error
0.5242811644243384
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.4881406047441659
root_relative_squared_error
1.0241265109066193
total_cost
0
area_under_roc_curve
0.7933333333333333 [0.793333,0.793333]
area_under_roc_curve
0.6337037037037037 [0.633704,0.633704]
area_under_roc_curve
0.7192592592592593 [0.719259,0.719259]
area_under_roc_curve
0.6181481481481481 [0.618148,0.618148]
area_under_roc_curve
0.7092592592592593 [0.709259,0.709259]
area_under_roc_curve
0.8018518518518518 [0.801852,0.801852]
area_under_roc_curve
0.6907407407407409 [0.690741,0.690741]
area_under_roc_curve
0.7122222222222221 [0.712222,0.712222]
area_under_roc_curve
0.6515384615384615 [0.651538,0.651538]
area_under_roc_curve
0.67 [0.67,0.67]
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
0.8265747857584592 [0.87619,0.734694]
f_measure
0.6837602764208268 [0.788991,0.488889]
f_measure
0.7662575956153937 [0.844037,0.622222]
f_measure
0.6738397718434016 [0.810345,0.421053]
f_measure
0.7545642763034068 [0.833333,0.608696]
f_measure
0.8286619148983513 [0.873786,0.745098]
f_measure
0.7387584892172047 [0.825688,0.577778]
f_measure
0.7686033264980632 [0.859649,0.6]
f_measure
0.7061749744534154 [0.807339,0.511628]
f_measure
0.7155655095184772 [0.8,0.553191]
kappa
0.6127659574468087
kappa
0.2896109105495387
kappa
0.47492980344965907
kappa
0.27358490566037735
kappa
0.44912559618441983
kappa
0.619536297985557
kappa
0.4131568391496189
kappa
0.48191757779646777
kappa
0.33053691275167785
kappa
0.3564516129032259
kb_relative_information_score
0.6139280939002144
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.4951367381772037
kb_relative_information_score
0.3466475435234399
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.613928093900214
kb_relative_information_score
0.4357410603156983
kb_relative_information_score
0.5248345771079564
kb_relative_information_score
0.3629141743626787
kb_relative_information_score
0.3629141743626787
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.22077922077922077
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.24675324675324675
mean_absolute_error
0.2077922077922078
mean_absolute_error
0.27631578947368424
mean_absolute_error
0.27631578947368424
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
0.8299881936245572 [0.836364,0.818182]
precision
0.687541272287035 [0.728814,0.611111]
precision
0.7790006603565925 [0.779661,0.777778]
precision
0.7174340810704448 [0.712121,0.727273]
precision
0.7621797440309238 [0.775862,0.736842]
precision
0.8289328595932369 [0.849057,0.791667]
precision
0.74851419766674 [0.762712,0.722222]
precision
0.8208354145854145 [0.765625,0.923077]
precision
0.7119955921708558 [0.745763,0.647059]
precision
0.7141717931191616 [0.763636,0.619048]
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7236842105263157
predictive_accuracy
0.7236842105263157
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 [0.92,0.666667]
recall
0.7012987012987013 [0.86,0.407407]
recall
0.7792207792207793 [0.92,0.518519]
recall
0.7142857142857143 [0.94,0.296296]
recall
0.7662337662337663 [0.9,0.518519]
recall
0.8311688311688312 [0.9,0.703704]
recall
0.7532467532467533 [0.9,0.481481]
recall
0.7922077922077922 [0.98,0.444444]
recall
0.7236842105263158 [0.88,0.423077]
recall
0.7236842105263158 [0.84,0.5]
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.4852281573191972
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.5423138228861615
relative_absolute_error
0.45668532453571503
relative_absolute_error
0.6107418038978688
relative_absolute_error
0.6107418038978688
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
0.5345224838248488
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.4108907018066591
root_mean_squared_error
0.496742636335202
root_mean_squared_error
0.4558423058385518
root_mean_squared_error
0.5256574830378469
root_mean_squared_error
0.5256574830378469
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
0.9846940881518128
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.0410070491251833
root_relative_squared_error
0.9552935845579276
root_relative_squared_error
1.1078835791520962
root_relative_squared_error
1.1078835791520962
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
23.484467004891485
usercpu_time_millis
27.879339017090388
usercpu_time_millis
24.146764000761323
usercpu_time_millis
23.77452698419802
usercpu_time_millis
23.767888997099362
usercpu_time_millis
22.99587598827202
usercpu_time_millis
23.037756996927783
usercpu_time_millis
23.298986998270266
usercpu_time_millis
23.529131009127013
usercpu_time_millis
24.063689983449876
usercpu_time_millis_testing
1.6367650096071884
usercpu_time_millis_testing
1.6035870066843927
usercpu_time_millis_testing
1.677146996371448
usercpu_time_millis_testing
1.6389179945690557
usercpu_time_millis_testing
1.6745949978940189
usercpu_time_millis_testing
1.612445994396694
usercpu_time_millis_testing
1.5794650098541752
usercpu_time_millis_testing
1.6112510056700557
usercpu_time_millis_testing
1.5992060070857406
usercpu_time_millis_testing
1.667741991695948
usercpu_time_millis_training
21.847701995284297
usercpu_time_millis_training
26.275752010405995
usercpu_time_millis_training
22.469617004389875
usercpu_time_millis_training
22.135608989628963
usercpu_time_millis_training
22.093293999205343
usercpu_time_millis_training
21.383429993875325
usercpu_time_millis_training
21.458291987073608
usercpu_time_millis_training
21.68773599260021
usercpu_time_millis_training
21.929925002041273
usercpu_time_millis_training
22.39594799175393
wall_clock_time_millis
23.49853515625
wall_clock_time_millis
27.89163589477539
wall_clock_time_millis
24.15943145751953
wall_clock_time_millis
23.787498474121094
wall_clock_time_millis
23.782730102539062
wall_clock_time_millis
23.00858497619629
wall_clock_time_millis
23.04840087890625
wall_clock_time_millis
23.311376571655273
wall_clock_time_millis
23.548603057861328
wall_clock_time_millis
24.0786075592041
wall_clock_time_millis_testing
1.642465591430664
wall_clock_time_millis_testing
1.6117095947265625
wall_clock_time_millis_testing
1.683950424194336
wall_clock_time_millis_testing
1.64794921875
wall_clock_time_millis_testing
1.6815662384033203
wall_clock_time_millis_testing
1.6186237335205078
wall_clock_time_millis_testing
1.5871524810791016
wall_clock_time_millis_testing
1.6188621520996094
wall_clock_time_millis_testing
1.6095638275146484
wall_clock_time_millis_testing
1.6760826110839844
wall_clock_time_millis_training
21.856069564819336
wall_clock_time_millis_training
26.279926300048828
wall_clock_time_millis_training
22.475481033325195
wall_clock_time_millis_training
22.139549255371094
wall_clock_time_millis_training
22.101163864135742
wall_clock_time_millis_training
21.38996124267578
wall_clock_time_millis_training
21.46124839782715
wall_clock_time_millis_training
21.692514419555664
wall_clock_time_millis_training
21.93903923034668
wall_clock_time_millis_training
22.402524948120117