10362818
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)
8218290
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
20.637991636404358
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.7270032659013304
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
3.268409654294397
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
3098
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
21647338
description
https://api.openml.org/data/download/21647338/description.xml
-1
21647339
predictions
https://api.openml.org/data/download/21647339/predictions.arff
area_under_roc_curve
0.5025223880597015 [0.502522,0.502522]
average_cost
0
f_measure
0.5323896586255343 [0.778047,0.074074]
kappa
0.006360796416876982
kb_relative_information_score
0.17985131206741106
mean_absolute_error
0.3580729166666667
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.5569942003795125 [0.652233,0.37931]
predictive_accuracy
0.6419270833333333
prior_entropy
0.9331348051619819
recall
0.6419270833333334 [0.964,0.041045]
relative_absolute_error
0.7878542088343885
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.5983919423477113
root_relative_squared_error
1.255435516150884
total_cost
0
area_under_roc_curve
0.49000000000000005 [0.49,0.49]
area_under_roc_curve
0.5085185185185185 [0.508519,0.508519]
area_under_roc_curve
0.497037037037037 [0.497037,0.497037]
area_under_roc_curve
0.5185185185185185 [0.518519,0.518519]
area_under_roc_curve
0.4885185185185186 [0.488519,0.488519]
area_under_roc_curve
0.48000000000000004 [0.48,0.48]
area_under_roc_curve
0.5270370370370371 [0.527037,0.527037]
area_under_roc_curve
0.5070370370370372 [0.507037,0.507037]
area_under_roc_curve
0.49000000000000005 [0.49,0.49]
area_under_roc_curve
0.5184615384615384 [0.518462,0.518462]
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
0.5332736229287953 [0.784,0.068966]
f_measure
0.5362241064720404 [0.760331,0.121212]
f_measure
0.5404040404040404 [0.793651,0.071429]
f_measure
0.518874254515482 [0.764228,0.064516]
f_measure
0.4987012987012987 [0.768,0]
f_measure
0.5599497276916632 [0.790323,0.133333]
f_measure
0.544150521609538 [0.770492,0.125]
f_measure
0.5157894736842106 [0.784,0]
f_measure
0.5633016968651137 [0.786885,0.133333]
kappa
-0.025689819219790785
kappa
0.021647058823529533
kappa
-0.007216959855660766
kappa
0.04757373929590858
kappa
-0.02855826807922625
kappa
-0.0508235294117646
kappa
0.06797020484171326
kappa
0.01731996353691871
kappa
-0.02599999999999991
kappa
0.0463320463320465
kb_relative_information_score
0.16846050993892273
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.13876267100816986
kb_relative_information_score
0.22785618780042838
kb_relative_information_score
0.13876267100816986
kb_relative_information_score
0.13876267100816986
kb_relative_information_score
0.22785618780042838
kb_relative_information_score
0.16846050993892273
kb_relative_information_score
0.18088965275201482
kb_relative_information_score
0.2112270730204588
mean_absolute_error
0.36363636363636365
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.37662337662337664
mean_absolute_error
0.33766233766233766
mean_absolute_error
0.37662337662337664
mean_absolute_error
0.37662337662337664
mean_absolute_error
0.33766233766233766
mean_absolute_error
0.36363636363636365
mean_absolute_error
0.35526315789473684
mean_absolute_error
0.34210526315789475
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
0.5995670995670995 [0.653333,0.5]
precision
0.5375891713919884 [0.647887,0.333333]
precision
0.7778537252221464 [0.657895,1]
precision
0.5057374132716599 [0.643836,0.25]
precision
0.4155844155844156 [0.64,0]
precision
0.6637416637416637 [0.662162,0.666667]
precision
0.5641414141414143 [0.652778,0.4]
precision
0.4298245614035087 [0.653333,0]
precision
0.6096491228070174 [0.666667,0.5]
predictive_accuracy
0.6363636363636364
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.6363636363636364
predictive_accuracy
0.6447368421052632
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
recall
0.6363636363636364 [0.98,0]
recall
0.6493506493506493 [0.98,0.037037]
recall
0.6233766233766234 [0.92,0.074074]
recall
0.6623376623376623 [1,0.037037]
recall
0.6233766233766234 [0.94,0.037037]
recall
0.6233766233766234 [0.96,0]
recall
0.6623376623376623 [0.98,0.074074]
recall
0.6363636363636364 [0.94,0.074074]
recall
0.6447368421052632 [0.98,0]
recall
0.6578947368421053 [0.96,0.076923]
relative_absolute_error
0.7991993179375014
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.8277421507209834
relative_absolute_error
0.742113652370537
relative_absolute_error
0.8277421507209834
relative_absolute_error
0.8277421507209834
relative_absolute_error
0.742113652370537
relative_absolute_error
0.7991993179375014
relative_absolute_error
0.7852394621544028
relative_absolute_error
0.756156519111647
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
0.6030226891555273
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.6136964857512031
root_mean_squared_error
0.5810872031479765
root_mean_squared_error
0.6136964857512031
root_mean_squared_error
0.6136964857512031
root_mean_squared_error
0.5810872031479765
root_mean_squared_error
0.6030226891555273
root_mean_squared_error
0.5960395606792697
root_mean_squared_error
0.5848976518656018
root_relative_squared_error
1.2637346268978644
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.28610334801068
root_relative_squared_error
1.217765157217718
root_relative_squared_error
1.28610334801068
root_relative_squared_error
1.28610334801068
root_relative_squared_error
1.217765157217718
root_relative_squared_error
1.2637346268978644
root_relative_squared_error
1.2562218994493952
root_relative_squared_error
1.2327390456645784
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
81.37794799404219
usercpu_time_millis
72.82996599678881
usercpu_time_millis
69.5705140096834
usercpu_time_millis
69.36978200974409
usercpu_time_millis
71.50076600373723
usercpu_time_millis
69.58431900420692
usercpu_time_millis
71.68404798721895
usercpu_time_millis
70.16509099048562
usercpu_time_millis
69.16392299172003
usercpu_time_millis
70.34163799835369
usercpu_time_millis_testing
5.848695000167936
usercpu_time_millis_testing
4.489441009354778
usercpu_time_millis_testing
4.4770600070478395
usercpu_time_millis_testing
4.426125000463799
usercpu_time_millis_testing
4.49655600823462
usercpu_time_millis_testing
4.3621060031000525
usercpu_time_millis_testing
4.591764998622239
usercpu_time_millis_testing
4.5984219905221835
usercpu_time_millis_testing
4.442687990376726
usercpu_time_millis_testing
4.471685999305919
usercpu_time_millis_training
75.52925299387425
usercpu_time_millis_training
68.34052498743404
usercpu_time_millis_training
65.09345400263555
usercpu_time_millis_training
64.94365700928029
usercpu_time_millis_training
67.0042099955026
usercpu_time_millis_training
65.22221300110687
usercpu_time_millis_training
67.09228298859671
usercpu_time_millis_training
65.56666899996344
usercpu_time_millis_training
64.7212350013433
usercpu_time_millis_training
65.86995199904777
wall_clock_time_millis
81.44068717956543
wall_clock_time_millis
72.8456974029541
wall_clock_time_millis
69.58866119384766
wall_clock_time_millis
69.38791275024414
wall_clock_time_millis
71.51508331298828
wall_clock_time_millis
70.2965259552002
wall_clock_time_millis
71.70462608337402
wall_clock_time_millis
70.18136978149414
wall_clock_time_millis
69.18215751647949
wall_clock_time_millis
70.36209106445312
wall_clock_time_millis_testing
5.858182907104492
wall_clock_time_millis_testing
4.499673843383789
wall_clock_time_millis_testing
4.488468170166016
wall_clock_time_millis_testing
4.437446594238281
wall_clock_time_millis_testing
4.507780075073242
wall_clock_time_millis_testing
4.371881484985352
wall_clock_time_millis_testing
4.602909088134766
wall_clock_time_millis_testing
4.607677459716797
wall_clock_time_millis_testing
4.454135894775391
wall_clock_time_millis_testing
4.483699798583984
wall_clock_time_millis_training
75.58250427246094
wall_clock_time_millis_training
68.34602355957031
wall_clock_time_millis_training
65.10019302368164
wall_clock_time_millis_training
64.95046615600586
wall_clock_time_millis_training
67.00730323791504
wall_clock_time_millis_training
65.92464447021484
wall_clock_time_millis_training
67.10171699523926
wall_clock_time_millis_training
65.57369232177734
wall_clock_time_millis_training
64.7280216217041
wall_clock_time_millis_training
65.87839126586914