10328868
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)
8184492
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
0.9963167675010125
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.8350264578298481
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.0015426280688508745
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
29834
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
21579424
description
https://api.openml.org/data/download/21579424/description.xml
-1
21579425
predictions
https://api.openml.org/data/download/21579425/predictions.arff
area_under_roc_curve
0.6313880597014926 [0.631388,0.631388]
average_cost
0
f_measure
0.6891502064354308 [0.825234,0.435262]
kappa
0.30906154548327053
kb_relative_information_score
0.3886164326320713
mean_absolute_error
0.2669270833333333
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7583946749302677 [0.719168,0.831579]
predictive_accuracy
0.7330729166666667
prior_entropy
0.9331348051619819
recall
0.7330729166666666 [0.968,0.294776]
relative_absolute_error
0.5873095011310895
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.5166498653182185
root_relative_squared_error
1.0839393789132348
total_cost
0
area_under_roc_curve
0.6751851851851851 [0.675185,0.675185]
area_under_roc_curve
0.6081481481481481 [0.608148,0.608148]
area_under_roc_curve
0.6181481481481481 [0.618148,0.618148]
area_under_roc_curve
0.5911111111111111 [0.591111,0.591111]
area_under_roc_curve
0.6666666666666666 [0.666667,0.666667]
area_under_roc_curve
0.6851851851851852 [0.685185,0.685185]
area_under_roc_curve
0.6566666666666666 [0.656667,0.656667]
area_under_roc_curve
0.5640740740740741 [0.564074,0.564074]
area_under_roc_curve
0.6238461538461538 [0.623846,0.623846]
area_under_roc_curve
0.6246153846153846 [0.624615,0.624615]
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
0.7331416315082376 [0.844828,0.526316]
f_measure
0.6633366633366634 [0.8,0.410256]
f_measure
0.6738397718434016 [0.810345,0.421053]
f_measure
0.6440685365055113 [0.806723,0.342857]
f_measure
0.7256218357913273 [0.847458,0.5]
f_measure
0.7445407445407446 [0.854701,0.540541]
f_measure
0.7144867144867144 [0.837607,0.486486]
f_measure
0.6092718756653183 [0.803279,0.25]
f_measure
0.6856948481662439 [0.817391,0.432432]
f_measure
0.6872540273915098 [0.830508,0.411765]
kappa
0.4056603773584906
kappa
0.24798301486199587
kappa
0.27358490566037735
kappa
0.2174105170128148
kappa
0.39370078740157494
kappa
0.43308791684712006
kappa
0.3663923776526636
kappa
0.1577028258887875
kappa
0.2875
kappa
0.29889298892988914
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.3466475435234399
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.4654388992464512
kb_relative_information_score
0.4951367381772039
kb_relative_information_score
0.4357410603156985
kb_relative_information_score
0.28725186566193417
kb_relative_information_score
0.36291417436267875
kb_relative_information_score
0.39325159463112286
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.22077922077922077
mean_absolute_error
0.24675324675324675
mean_absolute_error
0.3116883116883117
mean_absolute_error
0.27631578947368424
mean_absolute_error
0.2631578947368421
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
0.800865800865801 [0.742424,0.909091]
precision
0.6933066933066934 [0.707692,0.666667]
precision
0.7174340810704448 [0.712121,0.727273]
precision
0.7147092038396387 [0.695652,0.75]
precision
0.828113063407181 [0.735294,1]
precision
0.8352393874781934 [0.746269,1]
precision
0.7904826516766815 [0.731343,0.9]
precision
0.7224386724386724 [0.680556,0.8]
precision
0.7245123297754877 [0.723077,0.727273]
precision
0.7734133126934984 [0.720588,0.875]
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.6883116883116882
predictive_accuracy
0.7236842105263157
predictive_accuracy
0.736842105263158
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
0.7662337662337663 [0.98,0.37037]
recall
0.7012987012987013 [0.92,0.296296]
recall
0.7142857142857143 [0.94,0.296296]
recall
0.7012987012987013 [0.96,0.222222]
recall
0.7662337662337663 [1,0.333333]
recall
0.7792207792207793 [1,0.37037]
recall
0.7532467532467533 [0.98,0.333333]
recall
0.6883116883116883 [0.98,0.148148]
recall
0.7236842105263158 [0.94,0.307692]
recall
0.7368421052631579 [0.98,0.269231]
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.4852281573191972
relative_absolute_error
0.5423138228861615
relative_absolute_error
0.6850279868035726
relative_absolute_error
0.6107418038978688
relative_absolute_error
0.581658860855113
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
0.48349377841522817
root_mean_squared_error
0.5465357250000211
root_mean_squared_error
0.5345224838248488
root_mean_squared_error
0.5465357250000211
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.4698714938993648
root_mean_squared_error
0.496742636335202
root_mean_squared_error
0.5582905262390825
root_mean_squared_error
0.5256574830378469
root_mean_squared_error
0.512989176042577
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
0.9846940881518128
root_relative_squared_error
1.0410070491251833
root_relative_squared_error
1.169990918360609
root_relative_squared_error
1.1078835791520962
root_relative_squared_error
1.0811836657130123
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
31.220967997796834
usercpu_time_millis
30.496835010126233
usercpu_time_millis
30.618247008533217
usercpu_time_millis
30.632656009402126
usercpu_time_millis
30.87251100805588
usercpu_time_millis
32.59132901439443
usercpu_time_millis
31.744460997288115
usercpu_time_millis
32.993900997098535
usercpu_time_millis
31.126967005548067
usercpu_time_millis
30.724384996574372
usercpu_time_millis_testing
3.1731909984955564
usercpu_time_millis_testing
2.9577380046248436
usercpu_time_millis_testing
2.9490669985534623
usercpu_time_millis_testing
2.979190001497045
usercpu_time_millis_testing
3.012204004335217
usercpu_time_millis_testing
2.9715700075030327
usercpu_time_millis_testing
3.000172000611201
usercpu_time_millis_testing
3.014736998011358
usercpu_time_millis_testing
2.9326460062293336
usercpu_time_millis_testing
2.924001993960701
usercpu_time_millis_training
28.047776999301277
usercpu_time_millis_training
27.53909700550139
usercpu_time_millis_training
27.669180009979755
usercpu_time_millis_training
27.65346600790508
usercpu_time_millis_training
27.860307003720663
usercpu_time_millis_training
29.6197590068914
usercpu_time_millis_training
28.744288996676914
usercpu_time_millis_training
29.979163999087177
usercpu_time_millis_training
28.194320999318734
usercpu_time_millis_training
27.80038300261367
wall_clock_time_millis
63.23742866516113
wall_clock_time_millis
30.514955520629883
wall_clock_time_millis
30.636072158813477
wall_clock_time_millis
30.650854110717773
wall_clock_time_millis
30.88998794555664
wall_clock_time_millis
32.608985900878906
wall_clock_time_millis
63.76361846923828
wall_clock_time_millis
49.00693893432617
wall_clock_time_millis
31.170129776000977
wall_clock_time_millis
30.740022659301758
wall_clock_time_millis_testing
3.1828880310058594
wall_clock_time_millis_testing
2.967357635498047
wall_clock_time_millis_testing
2.9592514038085938
wall_clock_time_millis_testing
2.9883384704589844
wall_clock_time_millis_testing
3.020763397216797
wall_clock_time_millis_testing
2.980470657348633
wall_clock_time_millis_testing
3.0059814453125
wall_clock_time_millis_testing
3.023862838745117
wall_clock_time_millis_testing
2.938985824584961
wall_clock_time_millis_testing
2.9304027557373047
wall_clock_time_millis_training
60.05454063415527
wall_clock_time_millis_training
27.547597885131836
wall_clock_time_millis_training
27.676820755004883
wall_clock_time_millis_training
27.66251564025879
wall_clock_time_millis_training
27.869224548339844
wall_clock_time_millis_training
29.628515243530273
wall_clock_time_millis_training
60.75763702392578
wall_clock_time_millis_training
45.983076095581055
wall_clock_time_millis_training
28.231143951416016
wall_clock_time_millis_training
27.809619903564453