10498495
8323
Heinrich Peters
37
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275618
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
0.001
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
10000
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"lbfgs"
13106
tol
0.0001
13106
verbose
0
13106
warm_start
false
13106
copy
true
13294
with_mean
true
13294
with_std
true
13294
memory
null
18601
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": "logisticregression", "step_name": "logisticregression"}}]
18601
verbose
false
18601
openml-python
Sklearn_0.21.2.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
21921939
description
https://api.openml.org/data/download/21921939/description.xml
-1
21921940
predictions
https://api.openml.org/data/download/21921940/predictions.arff
area_under_roc_curve
0.8150895522388059 [0.81509,0.81509]
average_cost
0
f_measure
0.5158072962377859 [0.78831,0.007407]
kappa
0.0022492825564259323
kb_relative_information_score
0.07203925928505324
mean_absolute_error
0.4287349303569101
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.6510416666666666 [0.998,0.003731]
number_of_instances
768 [500,268]
precision
0.5985911662315057 [0.651436,0.5]
predictive_accuracy
0.6510416666666667
prior_entropy
0.9331348051619819
relative_absolute_error
0.9433291478742389
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.4520472573694399
root_relative_squared_error
0.9484021119228643
total_cost
0
unweighted_recall
0.5008656716417911 [0.998,0.003731]
area_under_roc_curve
0.8977777777777779 [0.897778,0.897778]
area_under_roc_curve
0.7103703703703703 [0.71037,0.71037]
area_under_roc_curve
0.8207407407407407 [0.820741,0.820741]
area_under_roc_curve
0.7711111111111111 [0.771111,0.771111]
area_under_roc_curve
0.7718518518518519 [0.771852,0.771852]
area_under_roc_curve
0.8800000000000001 [0.88,0.88]
area_under_roc_curve
0.8133333333333334 [0.813333,0.813333]
area_under_roc_curve
0.8555555555555556 [0.855556,0.855556]
area_under_roc_curve
0.8392307692307692 [0.839231,0.839231]
area_under_roc_curve
0.81 [0.81,0.81]
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
0.505050505050505 [0.777778,0]
f_measure
0.5404040404040404 [0.793651,0.071429]
kappa
0
kappa
-0.025689819219790785
kappa
0
kappa
0.04757373929590858
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
0.09348956605571677
kb_relative_information_score
0.03969327641386908
kb_relative_information_score
0.06830463180790408
kb_relative_information_score
0.0670713133084248
kb_relative_information_score
0.06686606575829704
kb_relative_information_score
0.07990815550281039
kb_relative_information_score
0.07577124009391543
kb_relative_information_score
0.07951784017307824
kb_relative_information_score
0.076002346078557
kb_relative_information_score
0.07389074191385425
mean_absolute_error
0.4227791800742425
mean_absolute_error
0.4389151532292925
mean_absolute_error
0.4294961313670655
mean_absolute_error
0.4292273947718588
mean_absolute_error
0.431875814341795
mean_absolute_error
0.42920956798199356
mean_absolute_error
0.4278133418469397
mean_absolute_error
0.42692528545288994
mean_absolute_error
0.4247434860414367
mean_absolute_error
0.4262802323272331
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
0.41866028708133973 [0.644737,0]
precision
0.7778537252221464 [0.657895,1]
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6363636363636364
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6578947368421052
predictive_accuracy
0.6578947368421052
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
relative_absolute_error
0.9291832889721542
relative_absolute_error
0.964646900506532
relative_absolute_error
0.9439457919247239
relative_absolute_error
0.9433551631398405
relative_absolute_error
0.9491758547030801
relative_absolute_error
0.9433159834545118
relative_absolute_error
0.9402473602737526
relative_absolute_error
0.9382955915966122
relative_absolute_error
0.9388120865366685
relative_absolute_error
0.942208762493943
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
0.44388623714992603
root_mean_squared_error
0.4638620121276876
root_mean_squared_error
0.4531804302219645
root_mean_squared_error
0.455360429110689
root_mean_squared_error
0.4550382007270941
root_mean_squared_error
0.44819913677030576
root_mean_squared_error
0.4520493172801457
root_mean_squared_error
0.4503576426509193
root_mean_squared_error
0.4478546694420506
root_mean_squared_error
0.45031401354939327
root_relative_squared_error
0.9302376483964794
root_relative_squared_error
0.9721002167417417
root_relative_squared_error
0.9497151802131636
root_relative_squared_error
0.9542837314995805
root_relative_squared_error
0.9536084481753518
root_relative_squared_error
0.9392760489253901
root_relative_squared_error
0.9473447443784679
root_relative_squared_error
0.9437995580283627
root_relative_squared_error
0.9439052046857556
root_relative_squared_error
0.9490885551372
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
unweighted_recall
0.5 [1,0]
unweighted_recall
0.49 [0.98,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5185185185185185 [1,0.037037]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
usercpu_time_millis
7.371286999841686
usercpu_time_millis
7.389681006316096
usercpu_time_millis
7.411555998260155
usercpu_time_millis
7.308196007215884
usercpu_time_millis
6.58041299902834
usercpu_time_millis
7.037651004793588
usercpu_time_millis
6.578023996553384
usercpu_time_millis
6.59581899526529
usercpu_time_millis
6.537442000990268
usercpu_time_millis
6.626706999668386
usercpu_time_millis_testing
0.4767930004163645
usercpu_time_millis_testing
0.47071700100786984
usercpu_time_millis_testing
0.520207999215927
usercpu_time_millis_testing
0.46403900341829285
usercpu_time_millis_testing
0.4171230029896833
usercpu_time_millis_testing
0.43251900206087157
usercpu_time_millis_testing
0.43986799573758617
usercpu_time_millis_testing
0.4276330000720918
usercpu_time_millis_testing
0.422060998971574
usercpu_time_millis_testing
0.45095600216882303
usercpu_time_millis_training
6.894493999425322
usercpu_time_millis_training
6.918964005308226
usercpu_time_millis_training
6.891347999044228
usercpu_time_millis_training
6.844157003797591
usercpu_time_millis_training
6.163289996038657
usercpu_time_millis_training
6.6051320027327165
usercpu_time_millis_training
6.138156000815798
usercpu_time_millis_training
6.168185995193198
usercpu_time_millis_training
6.115381002018694
usercpu_time_millis_training
6.175750997499563
wall_clock_time_millis
7.37762451171875
wall_clock_time_millis
7.394552230834961
wall_clock_time_millis
7.419824600219727
wall_clock_time_millis
7.311582565307617
wall_clock_time_millis
6.584405899047852
wall_clock_time_millis
7.038116455078125
wall_clock_time_millis
6.582736968994141
wall_clock_time_millis
6.60395622253418
wall_clock_time_millis
6.538629531860352
wall_clock_time_millis
6.661415100097656
wall_clock_time_millis_testing
0.48041343688964844
wall_clock_time_millis_testing
0.4737377166748047
wall_clock_time_millis_testing
0.5235671997070312
wall_clock_time_millis_testing
0.4673004150390625
wall_clock_time_millis_testing
0.41961669921875
wall_clock_time_millis_testing
0.43511390686035156
wall_clock_time_millis_testing
0.44226646423339844
wall_clock_time_millis_testing
0.4303455352783203
wall_clock_time_millis_testing
0.42438507080078125
wall_clock_time_millis_testing
0.453948974609375
wall_clock_time_millis_training
6.897211074829102
wall_clock_time_millis_training
6.920814514160156
wall_clock_time_millis_training
6.896257400512695
wall_clock_time_millis_training
6.844282150268555
wall_clock_time_millis_training
6.164789199829102
wall_clock_time_millis_training
6.603002548217773
wall_clock_time_millis_training
6.140470504760742
wall_clock_time_millis_training
6.173610687255859
wall_clock_time_millis_training
6.11424446105957
wall_clock_time_millis_training
6.207466125488281
weighted_recall
0.6493506493506493 [1,0]
weighted_recall
0.6363636363636364 [0.98,0]
weighted_recall
0.6493506493506493 [1,0]
weighted_recall
0.6623376623376623 [1,0.037037]
weighted_recall
0.6493506493506493 [1,0]
weighted_recall
0.6493506493506493 [1,0]
weighted_recall
0.6493506493506493 [1,0]
weighted_recall
0.6493506493506493 [1,0]
weighted_recall
0.6578947368421053 [1,0]
weighted_recall
0.6578947368421053 [1,0]