10328725
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)
8184349
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
2.1952612603322996
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.08285835069252112
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
5.217284431214832
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
35707
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
21579138
description
https://api.openml.org/data/download/21579138/description.xml
-1
21579139
predictions
https://api.openml.org/data/download/21579139/predictions.arff
area_under_roc_curve
0.4984626865671642 [0.498463,0.498463]
average_cost
0
f_measure
0.5193554075512895 [0.78247,0.02847]
kappa
-0.003945604290365795
kb_relative_information_score
0.18581602979782996
mean_absolute_error
0.35546875
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.530764454915945 [0.650331,0.307692]
predictive_accuracy
0.64453125
prior_entropy
0.9331348051619819
recall
0.64453125 [0.982,0.014925]
relative_absolute_error
0.7821243600428655
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.596212000885591
root_relative_squared_error
1.2508619653708746
total_cost
0
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5185185185185185 [0.518519,0.518519]
area_under_roc_curve
0.5085185185185185 [0.508519,0.508519]
area_under_roc_curve
0.5185185185185185 [0.518519,0.518519]
area_under_roc_curve
0.48000000000000004 [0.48,0.48]
area_under_roc_curve
0.49000000000000005 [0.49,0.49]
area_under_roc_curve
0.49000000000000005 [0.49,0.49]
area_under_roc_curve
0.48000000000000004 [0.48,0.48]
area_under_roc_curve
0.49000000000000005 [0.49,0.49]
area_under_roc_curve
0.5092307692307693 [0.509231,0.509231]
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
0.5404040404040404 [0.793651,0.071429]
f_measure
0.5332736229287953 [0.784,0.068966]
f_measure
0.5404040404040404 [0.793651,0.071429]
f_measure
0.4987012987012987 [0.768,0]
f_measure
0.505050505050505 [0.777778,0]
f_measure
0.505050505050505 [0.777778,0]
f_measure
0.4987012987012987 [0.768,0]
f_measure
0.5157894736842106 [0.784,0]
f_measure
0.5443851564394858 [0.790323,0.071429]
kappa
0
kappa
0.04757373929590858
kappa
0.021647058823529533
kappa
0.04757373929590858
kappa
-0.0508235294117646
kappa
-0.025689819219790785
kappa
-0.025689819219790785
kappa
-0.0508235294117646
kappa
-0.02599999999999991
kappa
0.023715415019762938
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.22785618780042838
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.22785618780042838
kb_relative_information_score
0.13876267100816986
kb_relative_information_score
0.16846050993892273
kb_relative_information_score
0.16846050993892273
kb_relative_information_score
0.13876267100816986
kb_relative_information_score
0.18088965275201482
kb_relative_information_score
0.2112270730204588
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.33766233766233766
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.33766233766233766
mean_absolute_error
0.37662337662337664
mean_absolute_error
0.36363636363636365
mean_absolute_error
0.36363636363636365
mean_absolute_error
0.37662337662337664
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
0.7778537252221464 [0.657895,1]
precision
0.5995670995670995 [0.653333,0.5]
precision
0.7778537252221464 [0.657895,1]
precision
0.4155844155844156 [0.64,0]
precision
0.41866028708133973 [0.644737,0]
precision
0.41866028708133973 [0.644737,0]
precision
0.4155844155844156 [0.64,0]
precision
0.4298245614035087 [0.653333,0]
precision
0.6066856330014224 [0.662162,0.5]
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.6363636363636364
predictive_accuracy
0.6363636363636364
predictive_accuracy
0.6233766233766234
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
0.6493506493506493 [1,0]
recall
0.6623376623376623 [1,0.037037]
recall
0.6493506493506493 [0.98,0.037037]
recall
0.6623376623376623 [1,0.037037]
recall
0.6233766233766234 [0.96,0]
recall
0.6363636363636364 [0.98,0]
recall
0.6363636363636364 [0.98,0]
recall
0.6233766233766234 [0.96,0]
recall
0.6447368421052632 [0.98,0]
recall
0.6578947368421053 [0.98,0.038462]
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.742113652370537
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.742113652370537
relative_absolute_error
0.8277421507209834
relative_absolute_error
0.7991993179375014
relative_absolute_error
0.7991993179375014
relative_absolute_error
0.8277421507209834
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
0.592156525463792
root_mean_squared_error
0.5810872031479765
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.5810872031479765
root_mean_squared_error
0.6136964857512031
root_mean_squared_error
0.6030226891555273
root_mean_squared_error
0.6030226891555273
root_mean_squared_error
0.6136964857512031
root_mean_squared_error
0.5960395606792697
root_mean_squared_error
0.5848976518656018
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.217765157217718
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.217765157217718
root_relative_squared_error
1.28610334801068
root_relative_squared_error
1.2637346268978644
root_relative_squared_error
1.2637346268978644
root_relative_squared_error
1.28610334801068
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
52.6626559876604
usercpu_time_millis
53.35417599417269
usercpu_time_millis
53.78258899145294
usercpu_time_millis
53.716306007117964
usercpu_time_millis
52.06769199867267
usercpu_time_millis
52.74836999888066
usercpu_time_millis
52.18564700044226
usercpu_time_millis
52.98132800089661
usercpu_time_millis
53.1079719949048
usercpu_time_millis
53.418782001244836
usercpu_time_millis_testing
4.041391992359422
usercpu_time_millis_testing
4.0221929957624525
usercpu_time_millis_testing
4.075491000548936
usercpu_time_millis_testing
4.022749999421649
usercpu_time_millis_testing
4.021644999738783
usercpu_time_millis_testing
4.002880988991819
usercpu_time_millis_testing
4.003334004664794
usercpu_time_millis_testing
4.010899006971158
usercpu_time_millis_testing
3.9761170046404004
usercpu_time_millis_testing
3.9956919936230406
usercpu_time_millis_training
48.62126399530098
usercpu_time_millis_training
49.33198299841024
usercpu_time_millis_training
49.707097990904
usercpu_time_millis_training
49.693556007696316
usercpu_time_millis_training
48.04604699893389
usercpu_time_millis_training
48.74548900988884
usercpu_time_millis_training
48.182312995777465
usercpu_time_millis_training
48.97042899392545
usercpu_time_millis_training
49.1318549902644
usercpu_time_millis_training
49.423090007621795
wall_clock_time_millis
52.72388458251953
wall_clock_time_millis
53.46107482910156
wall_clock_time_millis
53.804636001586914
wall_clock_time_millis
53.74026298522949
wall_clock_time_millis
52.08945274353027
wall_clock_time_millis
52.787065505981445
wall_clock_time_millis
52.233219146728516
wall_clock_time_millis
53.04288864135742
wall_clock_time_millis
53.14230918884277
wall_clock_time_millis
53.517818450927734
wall_clock_time_millis_testing
4.053354263305664
wall_clock_time_millis_testing
4.034280776977539
wall_clock_time_millis_testing
4.08625602722168
wall_clock_time_millis_testing
4.035711288452148
wall_clock_time_millis_testing
4.032373428344727
wall_clock_time_millis_testing
4.015445709228516
wall_clock_time_millis_testing
4.0149688720703125
wall_clock_time_millis_testing
4.024267196655273
wall_clock_time_millis_testing
3.986835479736328
wall_clock_time_millis_testing
4.006624221801758
wall_clock_time_millis_training
48.67053031921387
wall_clock_time_millis_training
49.42679405212402
wall_clock_time_millis_training
49.718379974365234
wall_clock_time_millis_training
49.704551696777344
wall_clock_time_millis_training
48.05707931518555
wall_clock_time_millis_training
48.77161979675293
wall_clock_time_millis_training
48.2182502746582
wall_clock_time_millis_training
49.01862144470215
wall_clock_time_millis_training
49.155473709106445
wall_clock_time_millis_training
49.51119422912598