10362761
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)
8218233
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
81.8664880584341
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.1339044447397313
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.6339071538529285
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
47037
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
21647224
description
https://api.openml.org/data/download/21647224/description.xml
-1
21647225
predictions
https://api.openml.org/data/download/21647225/predictions.arff
area_under_roc_curve
0.6555223880597015 [0.655522,0.655522]
average_cost
0
f_measure
0.6889862163299663 [0.763889,0.549242]
kappa
0.31321389924251525
kb_relative_information_score
0.2901985900801606
mean_absolute_error
0.3098958333333333
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.6880189405410863 [0.757874,0.557692]
predictive_accuracy
0.6901041666666667
prior_entropy
0.9331348051619819
recall
0.6901041666666666 [0.77,0.541045]
relative_absolute_error
0.681852006191216
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.5566828839953077
root_relative_squared_error
1.1679292689989291
total_cost
0
area_under_roc_curve
0.6692592592592592 [0.669259,0.669259]
area_under_roc_curve
0.6107407407407407 [0.610741,0.610741]
area_under_roc_curve
0.6933333333333334 [0.693333,0.693333]
area_under_roc_curve
0.7248148148148148 [0.724815,0.724815]
area_under_roc_curve
0.5922222222222222 [0.592222,0.592222]
area_under_roc_curve
0.6392592592592593 [0.639259,0.639259]
area_under_roc_curve
0.5737037037037037 [0.573704,0.573704]
area_under_roc_curve
0.6877777777777778 [0.687778,0.687778]
area_under_roc_curve
0.6884615384615383 [0.688462,0.688462]
area_under_roc_curve
0.6776923076923078 [0.677692,0.677692]
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
0.7083516483516483 [0.788462,0.56]
f_measure
0.6477785244831762 [0.732673,0.490566]
f_measure
0.7060949754972948 [0.757895,0.610169]
f_measure
0.7521404431548276 [0.811881,0.641509]
f_measure
0.6329356917592212 [0.72549,0.461538]
f_measure
0.6738690041510889 [0.752475,0.528302]
f_measure
0.617784271696322 [0.718447,0.431373]
f_measure
0.7232230932973366 [0.796117,0.588235]
f_measure
0.722343132146032 [0.792079,0.588235]
f_measure
0.7009421397918414 [0.762887,0.581818]
kappa
0.3504601226993866
kappa
0.22338438550616366
kappa
0.37087033747779763
kappa
0.4534927157265597
kappa
0.18764129615674444
kappa
0.28091146806126266
kappa
0.1512732801216267
kappa
0.3854047890535918
kappa
0.3804347826086957
kappa
0.34580838323353286
kb_relative_information_score
0.34664754352343985
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.4357410603156983
kb_relative_information_score
0.1684605099389228
kb_relative_information_score
0.25755402673118133
kb_relative_information_score
0.1387626710081699
kb_relative_information_score
0.37634538245419263
kb_relative_information_score
0.3629141743626787
kb_relative_information_score
0.30223933382579077
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.24675324675324675
mean_absolute_error
0.36363636363636365
mean_absolute_error
0.3246753246753247
mean_absolute_error
0.37662337662337664
mean_absolute_error
0.2727272727272727
mean_absolute_error
0.27631578947368424
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
0.7064642282033586 [0.759259,0.608696]
precision
0.6464222052457347 [0.72549,0.5]
precision
0.7167207792207793 [0.8,0.5625]
precision
0.7512977218859571 [0.803922,0.653846]
precision
0.6303496503496504 [0.711538,0.48]
precision
0.6726410844057903 [0.745098,0.538462]
precision
0.6140345503553051 [0.698113,0.458333]
precision
0.7214837049742711 [0.773585,0.625]
precision
0.7212590299277606 [0.784314,0.6]
precision
0.7066648646561378 [0.787234,0.551724]
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.6363636363636364
predictive_accuracy
0.6753246753246753
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7236842105263157
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
0.7142857142857143 [0.82,0.518519]
recall
0.6493506493506493 [0.74,0.481481]
recall
0.7012987012987013 [0.72,0.666667]
recall
0.7532467532467533 [0.82,0.62963]
recall
0.6363636363636364 [0.74,0.444444]
recall
0.6753246753246753 [0.76,0.518519]
recall
0.6233766233766234 [0.74,0.407407]
recall
0.7272727272727273 [0.82,0.555556]
recall
0.7236842105263158 [0.8,0.576923]
recall
0.6973684210526315 [0.74,0.615385]
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.5423138228861615
relative_absolute_error
0.7991993179375014
relative_absolute_error
0.7135708195870546
relative_absolute_error
0.8277421507209834
relative_absolute_error
0.599399488453126
relative_absolute_error
0.6107418038978688
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
0.5345224838248488
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.5465357250000211
root_mean_squared_error
0.496742636335202
root_mean_squared_error
0.6030226891555273
root_mean_squared_error
0.5698028822981898
root_mean_squared_error
0.6136964857512031
root_mean_squared_error
0.5222329678670935
root_mean_squared_error
0.5256574830378469
root_mean_squared_error
0.5501196042201808
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
1.0410070491251833
root_relative_squared_error
1.2637346268978644
root_relative_squared_error
1.1941169806974095
root_relative_squared_error
1.28610334801068
root_relative_squared_error
1.0944262905356
root_relative_squared_error
1.1078835791520962
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
62.64368699339684
usercpu_time_millis
62.51073500607163
usercpu_time_millis
62.85141500120517
usercpu_time_millis
61.47202198917512
usercpu_time_millis
62.820020990329795
usercpu_time_millis
63.453847003984265
usercpu_time_millis
61.11882101686206
usercpu_time_millis
63.29393800115213
usercpu_time_millis
61.98452701210044
usercpu_time_millis
63.52010399859864
usercpu_time_millis_testing
3.3653669961495325
usercpu_time_millis_testing
3.4921690094051883
usercpu_time_millis_testing
3.4623679966898635
usercpu_time_millis_testing
3.3351829915773124
usercpu_time_millis_testing
3.4383619931759313
usercpu_time_millis_testing
3.572465997422114
usercpu_time_millis_testing
3.3162520121550187
usercpu_time_millis_testing
3.497425001114607
usercpu_time_millis_testing
3.310181011329405
usercpu_time_millis_testing
3.4463710035197437
usercpu_time_millis_training
59.27831999724731
usercpu_time_millis_training
59.01856599666644
usercpu_time_millis_training
59.389047004515305
usercpu_time_millis_training
58.136838997597806
usercpu_time_millis_training
59.38165899715386
usercpu_time_millis_training
59.88138100656215
usercpu_time_millis_training
57.80256900470704
usercpu_time_millis_training
59.79651300003752
usercpu_time_millis_training
58.67434600077104
usercpu_time_millis_training
60.0737329950789
wall_clock_time_millis
63.75765800476074
wall_clock_time_millis
62.52861022949219
wall_clock_time_millis
62.86501884460449
wall_clock_time_millis
61.48672103881836
wall_clock_time_millis
62.83283233642578
wall_clock_time_millis
63.47060203552246
wall_clock_time_millis
61.13886833190918
wall_clock_time_millis
63.31229209899902
wall_clock_time_millis
62.120914459228516
wall_clock_time_millis
63.539981842041016
wall_clock_time_millis_testing
3.3757686614990234
wall_clock_time_millis_testing
3.5054683685302734
wall_clock_time_millis_testing
3.4706592559814453
wall_clock_time_millis_testing
3.3473968505859375
wall_clock_time_millis_testing
3.448486328125
wall_clock_time_millis_testing
3.584623336791992
wall_clock_time_millis_testing
3.327608108520508
wall_clock_time_millis_testing
3.5097599029541016
wall_clock_time_millis_testing
3.3206939697265625
wall_clock_time_millis_testing
3.4596920013427734
wall_clock_time_millis_training
60.38188934326172
wall_clock_time_millis_training
59.023141860961914
wall_clock_time_millis_training
59.39435958862305
wall_clock_time_millis_training
58.13932418823242
wall_clock_time_millis_training
59.38434600830078
wall_clock_time_millis_training
59.88597869873047
wall_clock_time_millis_training
57.81126022338867
wall_clock_time_millis_training
59.80253219604492
wall_clock_time_millis_training
58.80022048950195
wall_clock_time_millis_training
60.08028984069824