10362759
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)
8218231
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
87.65741253146723
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.2654108694661843
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.4961303116379301
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
5707
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
21647220
description
https://api.openml.org/data/download/21647220/description.xml
-1
21647221
predictions
https://api.openml.org/data/download/21647221/predictions.arff
area_under_roc_curve
0.6505223880597014 [0.650522,0.650522]
average_cost
0
f_measure
0.6831764906967651 [0.757727,0.54409]
kappa
0.30182862957531503
kb_relative_information_score
0.2752867957541134
mean_absolute_error
0.31640625
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.6827800883378972 [0.755467,0.54717]
predictive_accuracy
0.68359375
prior_entropy
0.9331348051619819
recall
0.68359375 [0.76,0.541045]
relative_absolute_error
0.6961766281700231
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.5625
root_relative_squared_error
1.1801336680174186
total_cost
0
area_under_roc_curve
0.6507407407407407 [0.650741,0.650741]
area_under_roc_curve
0.5822222222222222 [0.582222,0.582222]
area_under_roc_curve
0.7118518518518518 [0.711852,0.711852]
area_under_roc_curve
0.7433333333333333 [0.743333,0.743333]
area_under_roc_curve
0.5922222222222222 [0.592222,0.592222]
area_under_roc_curve
0.6377777777777778 [0.637778,0.637778]
area_under_roc_curve
0.5737037037037037 [0.573704,0.573704]
area_under_roc_curve
0.6877777777777778 [0.687778,0.687778]
area_under_roc_curve
0.6592307692307692 [0.659231,0.659231]
area_under_roc_curve
0.6676923076923077 [0.667692,0.667692]
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
0.6931707748034278 [0.780952,0.530612]
f_measure
0.6216880448152632 [0.712871,0.45283]
f_measure
0.719452887537994 [0.765957,0.633333]
f_measure
0.7662337662337663 [0.82,0.666667]
f_measure
0.6329356917592212 [0.72549,0.461538]
f_measure
0.6649218128809966 [0.734694,0.535714]
f_measure
0.617784271696322 [0.718447,0.431373]
f_measure
0.7232230932973366 [0.796117,0.588235]
f_measure
0.6958996209218445 [0.772277,0.54902]
f_measure
0.6889097744360901 [0.75,0.571429]
kappa
0.3148936170212767
kappa
0.16585730295106466
kappa
0.4031007751937985
kappa
0.48666666666666675
kappa
0.18764129615674444
kappa
0.270939548434086
kappa
0.1512732801216267
kappa
0.3854047890535918
kappa
0.32142857142857123
kappa
0.32344213649851633
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.13876267100816986
kb_relative_information_score
0.34664754352343985
kb_relative_information_score
0.46543889924645093
kb_relative_information_score
0.1684605099389228
kb_relative_information_score
0.22785618780042838
kb_relative_information_score
0.1387626710081699
kb_relative_information_score
0.37634538245419263
kb_relative_information_score
0.30223933382579077
kb_relative_information_score
0.2719019135573468
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.37662337662337664
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.36363636363636365
mean_absolute_error
0.33766233766233766
mean_absolute_error
0.37662337662337664
mean_absolute_error
0.2727272727272727
mean_absolute_error
0.3026315789473684
mean_absolute_error
0.3157894736842105
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
0.6912632821723731 [0.745455,0.590909]
precision
0.6202033260856791 [0.705882,0.461538]
precision
0.7331759149940968 [0.818182,0.575758]
precision
0.7662337662337663 [0.82,0.666667]
precision
0.6303496503496504 [0.711538,0.48]
precision
0.6683833407971339 [0.75,0.517241]
precision
0.6140345503553051 [0.698113,0.458333]
precision
0.7214837049742711 [0.773585,0.625]
precision
0.6946749226006192 [0.764706,0.56]
precision
0.6973302822273074 [0.782609,0.533333]
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.6363636363636364
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.6973684210526316
predictive_accuracy
0.6842105263157895
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 [0.82,0.481481]
recall
0.6233766233766234 [0.72,0.444444]
recall
0.7142857142857143 [0.72,0.703704]
recall
0.7662337662337663 [0.82,0.666667]
recall
0.6363636363636364 [0.74,0.444444]
recall
0.6623376623376623 [0.72,0.555556]
recall
0.6233766233766234 [0.74,0.407407]
recall
0.7272727272727273 [0.82,0.555556]
recall
0.6973684210526315 [0.78,0.538462]
recall
0.6842105263157895 [0.72,0.615385]
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.8277421507209834
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.7991993179375014
relative_absolute_error
0.742113652370537
relative_absolute_error
0.8277421507209834
relative_absolute_error
0.599399488453126
relative_absolute_error
0.66890768998338
relative_absolute_error
0.6979906330261357
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
0.48349377841522817
root_mean_squared_error
0.6030226891555273
root_mean_squared_error
0.5810872031479765
root_mean_squared_error
0.6136964857512031
root_mean_squared_error
0.5222329678670935
root_mean_squared_error
0.5501196042201808
root_mean_squared_error
0.5619514869490163
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
1.28610334801068
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
1.2637346268978644
root_relative_squared_error
1.217765157217718
root_relative_squared_error
1.28610334801068
root_relative_squared_error
1.0944262905356
root_relative_squared_error
1.159440311898513
root_relative_squared_error
1.1843773650342835
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
69.75979598064441
usercpu_time_millis
64.95326400909107
usercpu_time_millis
67.31735701032449
usercpu_time_millis
64.71515299926978
usercpu_time_millis
71.47481600986794
usercpu_time_millis
65.91977700009011
usercpu_time_millis
64.49471501400694
usercpu_time_millis
67.19370700011496
usercpu_time_millis
66.53946300502867
usercpu_time_millis
64.5669670047937
usercpu_time_millis_testing
3.292722991318442
usercpu_time_millis_testing
3.156455000862479
usercpu_time_millis_testing
3.339488001074642
usercpu_time_millis_testing
3.270594999776222
usercpu_time_millis_testing
3.322315009427257
usercpu_time_millis_testing
3.3135440025944263
usercpu_time_millis_testing
3.207044006558135
usercpu_time_millis_testing
3.3238640025956556
usercpu_time_millis_testing
3.1422009924426675
usercpu_time_millis_testing
3.169048999552615
usercpu_time_millis_training
66.46707298932597
usercpu_time_millis_training
61.79680900822859
usercpu_time_millis_training
63.977869009249844
usercpu_time_millis_training
61.444557999493554
usercpu_time_millis_training
68.15250100044068
usercpu_time_millis_training
62.60623299749568
usercpu_time_millis_training
61.28767100744881
usercpu_time_millis_training
63.8698429975193
usercpu_time_millis_training
63.397262012586
usercpu_time_millis_training
61.39791800524108
wall_clock_time_millis
69.7782039642334
wall_clock_time_millis
64.97406959533691
wall_clock_time_millis
67.33512878417969
wall_clock_time_millis
64.73565101623535
wall_clock_time_millis
71.49171829223633
wall_clock_time_millis
65.93608856201172
wall_clock_time_millis
64.51201438903809
wall_clock_time_millis
67.21091270446777
wall_clock_time_millis
66.5585994720459
wall_clock_time_millis
64.58306312561035
wall_clock_time_millis_testing
3.3032894134521484
wall_clock_time_millis_testing
3.1671524047851562
wall_clock_time_millis_testing
3.3516883850097656
wall_clock_time_millis_testing
3.2825469970703125
wall_clock_time_millis_testing
3.3321380615234375
wall_clock_time_millis_testing
3.3233165740966797
wall_clock_time_millis_testing
3.221273422241211
wall_clock_time_millis_testing
3.3369064331054688
wall_clock_time_millis_testing
3.1549930572509766
wall_clock_time_millis_testing
3.178119659423828
wall_clock_time_millis_training
66.47491455078125
wall_clock_time_millis_training
61.80691719055176
wall_clock_time_millis_training
63.98344039916992
wall_clock_time_millis_training
61.45310401916504
wall_clock_time_millis_training
68.15958023071289
wall_clock_time_millis_training
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wall_clock_time_millis_training
61.290740966796875
wall_clock_time_millis_training
63.874006271362305
wall_clock_time_millis_training
63.40360641479492
wall_clock_time_millis_training
61.40494346618652