10367349
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)
8222701
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
129.85452509049924
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
1.176591720889096
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
59009
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
21656403
description
https://api.openml.org/data/download/21656403/description.xml
-1
21656404
predictions
https://api.openml.org/data/download/21656404/predictions.arff
area_under_roc_curve
0.6088955223880598 [0.608896,0.608896]
average_cost
0
f_measure
0.6590844041269327 [0.767658,0.456522]
kappa
0.23312883435582807
kb_relative_information_score
0.2544102836976473
mean_absolute_error
0.3255208333333333
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.657642505787037 [0.717014,0.546875]
predictive_accuracy
0.6744791666666667
prior_entropy
0.9331348051619819
recall
0.6744791666666666 [0.826,0.391791]
relative_absolute_error
0.716231098940353
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.570544330734548
root_relative_squared_error
1.1970107978600983
total_cost
0
area_under_roc_curve
0.6337037037037037 [0.633704,0.633704]
area_under_roc_curve
0.5396296296296297 [0.53963,0.53963]
area_under_roc_curve
0.6777777777777779 [0.677778,0.677778]
area_under_roc_curve
0.6537037037037037 [0.653704,0.653704]
area_under_roc_curve
0.5181481481481481 [0.518148,0.518148]
area_under_roc_curve
0.5466666666666666 [0.546667,0.546667]
area_under_roc_curve
0.5681481481481482 [0.568148,0.568148]
area_under_roc_curve
0.6422222222222224 [0.642222,0.642222]
area_under_roc_curve
0.6030769230769231 [0.603077,0.603077]
area_under_roc_curve
0.7084615384615386 [0.708462,0.708462]
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
0.6837602764208268 [0.788991,0.488889]
f_measure
0.5938653845630589 [0.738739,0.325581]
f_measure
0.7115923292393881 [0.784314,0.576923]
f_measure
0.7059025198560083 [0.810811,0.511628]
f_measure
0.5702033815241362 [0.698113,0.333333]
f_measure
0.5970656701788778 [0.716981,0.375]
f_measure
0.6218746683862963 [0.756757,0.372093]
f_measure
0.688825590794173 [0.785047,0.510638]
f_measure
0.6609706083390293 [0.781818,0.428571]
f_measure
0.7459877154745392 [0.815534,0.612245]
kappa
0.2896109105495387
kappa
0.08745402533714755
kappa
0.3617181612660135
kappa
0.33919084593379656
kappa
0.038251366120218455
kappa
0.09836065573770482
kappa
0.1503882304863098
kappa
0.302481291847184
kappa
0.22711864406779664
kappa
0.42879746835443044
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.1387626710081699
kb_relative_information_score
0.34664754352343985
kb_relative_information_score
0.3763453824541927
kb_relative_information_score
0.04966915421591134
kb_relative_information_score
0.10906483207741705
kb_relative_information_score
0.19815834886967565
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.2719019135573468
kb_relative_information_score
0.42358901489956674
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.37662337662337664
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.2727272727272727
mean_absolute_error
0.4155844155844156
mean_absolute_error
0.38961038961038963
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.3157894736842105
mean_absolute_error
0.25
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
0.687541272287035 [0.728814,0.611111]
precision
0.5898578880136257 [0.672131,0.4375]
precision
0.70989010989011 [0.769231,0.6]
precision
0.7201005961251863 [0.737705,0.6875]
precision
0.5626159554730983 [0.660714,0.380952]
precision
0.5909090909090909 [0.678571,0.428571]
precision
0.6224185650415158 [0.688525,0.5]
precision
0.6888585099111415 [0.736842,0.6]
precision
0.6639254385964912 [0.716667,0.5625]
precision
0.7444626743232158 [0.792453,0.652174]
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.5844155844155844
predictive_accuracy
0.6103896103896104
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.6842105263157895
predictive_accuracy
0.75
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
0.7012987012987013 [0.86,0.407407]
recall
0.6233766233766234 [0.82,0.259259]
recall
0.7142857142857143 [0.8,0.555556]
recall
0.7272727272727273 [0.9,0.407407]
recall
0.5844155844155844 [0.74,0.296296]
recall
0.6103896103896104 [0.76,0.333333]
recall
0.6493506493506493 [0.84,0.296296]
recall
0.7012987012987013 [0.84,0.444444]
recall
0.6842105263157895 [0.86,0.346154]
recall
0.75 [0.84,0.576923]
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.8277421507209834
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.599399488453126
relative_absolute_error
0.9133706490714301
relative_absolute_error
0.8562849835044658
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.6979906330261357
relative_absolute_error
0.5525759178123575
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
0.5465357250000211
root_mean_squared_error
0.6136964857512031
root_mean_squared_error
0.5345224838248488
root_mean_squared_error
0.5222329678670935
root_mean_squared_error
0.6446583712203042
root_mean_squared_error
0.6241877839323593
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.5465357250000211
root_mean_squared_error
0.5619514869490163
root_mean_squared_error
0.5
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
1.28610334801068
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
1.0944262905356
root_relative_squared_error
1.3509891433298302
root_relative_squared_error
1.3080896132558644
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
1.1843773650342835
root_relative_squared_error
1.0538074838671416
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
56.66344000019308
usercpu_time_millis
56.80595700005142
usercpu_time_millis
55.93415700013793
usercpu_time_millis
55.52351300025293
usercpu_time_millis
55.445409000185464
usercpu_time_millis
57.108749000008174
usercpu_time_millis
56.37868499979959
usercpu_time_millis
57.04728399996384
usercpu_time_millis
57.72292399979051
usercpu_time_millis
55.079402999808735
usercpu_time_millis_testing
3.822151000122176
usercpu_time_millis_testing
3.730760000053124
usercpu_time_millis_testing
3.832563000059963
usercpu_time_millis_testing
3.753782000103456
usercpu_time_millis_testing
3.757486000040444
usercpu_time_millis_testing
3.860521999968114
usercpu_time_millis_testing
3.877192999880208
usercpu_time_millis_testing
3.869116000032591
usercpu_time_millis_testing
3.9067839998097043
usercpu_time_millis_testing
3.7087529999553226
usercpu_time_millis_training
52.8412890000709
usercpu_time_millis_training
53.0751969999983
usercpu_time_millis_training
52.10159400007797
usercpu_time_millis_training
51.76973100014948
usercpu_time_millis_training
51.68792300014502
usercpu_time_millis_training
53.24822700004006
usercpu_time_millis_training
52.50149199991938
usercpu_time_millis_training
53.17816799993125
usercpu_time_millis_training
53.816139999980805
usercpu_time_millis_training
51.37064999985341
wall_clock_time_millis
56.67233467102051
wall_clock_time_millis
56.830644607543945
wall_clock_time_millis
55.94158172607422
wall_clock_time_millis
55.532217025756836
wall_clock_time_millis
55.45330047607422
wall_clock_time_millis
57.115793228149414
wall_clock_time_millis
56.38694763183594
wall_clock_time_millis
57.05618858337402
wall_clock_time_millis
57.73115158081055
wall_clock_time_millis
55.088043212890625
wall_clock_time_millis_testing
3.8259029388427734
wall_clock_time_millis_testing
3.734588623046875
wall_clock_time_millis_testing
3.8352012634277344
wall_clock_time_millis_testing
3.7572383880615234
wall_clock_time_millis_testing
3.760814666748047
wall_clock_time_millis_testing
3.8635730743408203
wall_clock_time_millis_testing
3.880023956298828
wall_clock_time_millis_testing
3.872394561767578
wall_clock_time_millis_testing
3.910064697265625
wall_clock_time_millis_testing
3.711700439453125
wall_clock_time_millis_training
52.846431732177734
wall_clock_time_millis_training
53.09605598449707
wall_clock_time_millis_training
52.106380462646484
wall_clock_time_millis_training
51.77497863769531
wall_clock_time_millis_training
51.69248580932617
wall_clock_time_millis_training
53.252220153808594
wall_clock_time_millis_training
52.50692367553711
wall_clock_time_millis_training
53.183794021606445
wall_clock_time_millis_training
53.82108688354492
wall_clock_time_millis_training
51.3763427734375