10362832
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)
8218304
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
2.5204673858904836
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.3166845643208457
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0015867847554796588
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
58167
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
21647366
description
https://api.openml.org/data/download/21647366/description.xml
-1
21647367
predictions
https://api.openml.org/data/download/21647367/predictions.arff
area_under_roc_curve
0.7134626865671642 [0.713463,0.713463]
average_cost
0
f_measure
0.7607589011663598 [0.839779,0.613333]
kappa
0.46126556150422504
kb_relative_information_score
0.48106955745356283
mean_absolute_error
0.2265625
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7712074082061284 [0.778157,0.758242]
predictive_accuracy
0.7734375
prior_entropy
0.9331348051619819
recall
0.7734375 [0.912,0.514925]
relative_absolute_error
0.4984968448624857
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.4759858191164943
root_relative_squared_error
0.9986255833568426
total_cost
0
area_under_roc_curve
0.7933333333333333 [0.793333,0.793333]
area_under_roc_curve
0.6437037037037037 [0.643704,0.643704]
area_under_roc_curve
0.7092592592592593 [0.709259,0.709259]
area_under_roc_curve
0.6366666666666667 [0.636667,0.636667]
area_under_roc_curve
0.7192592592592593 [0.719259,0.719259]
area_under_roc_curve
0.8203703703703704 [0.82037,0.82037]
area_under_roc_curve
0.7092592592592593 [0.709259,0.709259]
area_under_roc_curve
0.7392592592592593 [0.739259,0.739259]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.6415384615384615 [0.641538,0.641538]
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
0.6948051948051948 [0.8,0.5]
f_measure
0.7545642763034068 [0.833333,0.608696]
f_measure
0.6926117360899968 [0.817391,0.461538]
f_measure
0.7662575956153937 [0.844037,0.622222]
f_measure
0.8426867250396664 [0.882353,0.769231]
f_measure
0.7545642763034068 [0.833333,0.608696]
f_measure
0.7899303713257201 [0.864865,0.651163]
f_measure
0.773980405559353 [0.854545,0.619048]
f_measure
0.6949317738791423 [0.796296,0.5]
kappa
0.6127659574468087
kappa
0.31417004048582997
kappa
0.44912559618441983
kappa
0.3133757961783441
kappa
0.47492980344965907
kappa
0.6518462697814618
kappa
0.44912559618441983
kappa
0.5279934613812833
kappa
0.4847457627118644
kappa
0.30564784053156147
kb_relative_information_score
0.6139280939002143
kb_relative_information_score
0.34664754352343985
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.3763453824541927
kb_relative_information_score
0.4951367381772037
kb_relative_information_score
0.6436259328309667
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.5545324160387091
kb_relative_information_score
0.5146012757048981
kb_relative_information_score
0.33257675409423476
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.2727272727272727
mean_absolute_error
0.22077922077922077
mean_absolute_error
0.15584415584415584
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.19480519480519481
mean_absolute_error
0.21052631578947367
mean_absolute_error
0.2894736842105263
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
0.7030812324929973 [0.733333,0.647059]
precision
0.7621797440309238 [0.775862,0.736842]
precision
0.7325174825174825 [0.723077,0.75]
precision
0.7790006603565925 [0.779661,0.777778]
precision
0.8424575424575425 [0.865385,0.8]
precision
0.7621797440309238 [0.775862,0.736842]
precision
0.8177826272088567 [0.786885,0.875]
precision
0.7933114035087719 [0.783333,0.8125]
precision
0.6968138737648719 [0.741379,0.611111]
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.8441558441558442
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.7894736842105263
predictive_accuracy
0.7105263157894737
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
0.7142857142857143 [0.88,0.407407]
recall
0.7662337662337663 [0.9,0.518519]
recall
0.7272727272727273 [0.94,0.333333]
recall
0.7792207792207793 [0.92,0.518519]
recall
0.8441558441558441 [0.9,0.740741]
recall
0.7662337662337663 [0.9,0.518519]
recall
0.8051948051948052 [0.96,0.518519]
recall
0.7894736842105263 [0.94,0.5]
recall
0.7105263157894737 [0.86,0.423077]
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.599399488453126
relative_absolute_error
0.4852281573191972
relative_absolute_error
0.3425139934017863
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.4281424917522329
relative_absolute_error
0.46532708868409045
relative_absolute_error
0.6398247469406244
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
0.5345224838248488
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.5222329678670935
root_mean_squared_error
0.4698714938993648
root_mean_squared_error
0.39477101697586137
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.4413674147523748
root_mean_squared_error
0.45883146774112354
root_mean_squared_error
0.5380275868489703
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
1.0944262905356
root_relative_squared_error
0.9846940881518128
root_relative_squared_error
0.827308512299463
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
0.9249590359329101
root_relative_squared_error
0.9670400690786819
root_relative_squared_error
1.133954995096847
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
48.29809800139628
usercpu_time_millis
33.706393995089456
usercpu_time_millis
34.54194500227459
usercpu_time_millis
34.42483900289517
usercpu_time_millis
34.84807300264947
usercpu_time_millis
35.06420300982427
usercpu_time_millis
34.519659995567054
usercpu_time_millis
34.966384002473205
usercpu_time_millis
34.96279900718946
usercpu_time_millis
34.17225000157487
usercpu_time_millis_testing
3.5139469982823357
usercpu_time_millis_testing
3.0713390005985275
usercpu_time_millis_testing
3.2171680068131536
usercpu_time_millis_testing
3.1128230039030313
usercpu_time_millis_testing
3.238067001802847
usercpu_time_millis_testing
3.2819240004755557
usercpu_time_millis_testing
3.1542399956379086
usercpu_time_millis_testing
3.190782997990027
usercpu_time_millis_testing
3.2035250042099506
usercpu_time_millis_testing
3.13284998992458
usercpu_time_millis_training
44.78415100311395
usercpu_time_millis_training
30.63505499449093
usercpu_time_millis_training
31.324776995461434
usercpu_time_millis_training
31.312015998992138
usercpu_time_millis_training
31.610006000846624
usercpu_time_millis_training
31.782279009348713
usercpu_time_millis_training
31.365419999929145
usercpu_time_millis_training
31.77560100448318
usercpu_time_millis_training
31.75927400297951
usercpu_time_millis_training
31.039400011650287
wall_clock_time_millis
48.363447189331055
wall_clock_time_millis
33.722877502441406
wall_clock_time_millis
34.5613956451416
wall_clock_time_millis
34.44027900695801
wall_clock_time_millis
34.865617752075195
wall_clock_time_millis
35.07876396179199
wall_clock_time_millis
34.53183174133301
wall_clock_time_millis
35.132408142089844
wall_clock_time_millis
34.979820251464844
wall_clock_time_millis
34.18779373168945
wall_clock_time_millis_testing
3.5262107849121094
wall_clock_time_millis_testing
3.080129623413086
wall_clock_time_millis_testing
3.2291412353515625
wall_clock_time_millis_testing
3.1235218048095703
wall_clock_time_millis_testing
3.2508373260498047
wall_clock_time_millis_testing
3.2918453216552734
wall_clock_time_millis_testing
3.162860870361328
wall_clock_time_millis_testing
3.2007694244384766
wall_clock_time_millis_testing
3.215312957763672
wall_clock_time_millis_testing
3.142833709716797
wall_clock_time_millis_training
44.837236404418945
wall_clock_time_millis_training
30.64274787902832
wall_clock_time_millis_training
31.33225440979004
wall_clock_time_millis_training
31.316757202148438
wall_clock_time_millis_training
31.61478042602539
wall_clock_time_millis_training
31.78691864013672
wall_clock_time_millis_training
31.36897087097168
wall_clock_time_millis_training
31.931638717651367
wall_clock_time_millis_training
31.764507293701172
wall_clock_time_millis_training
31.044960021972656