10362781
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)
8218253
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
8.537098039116069
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.014430579841442782
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
37898
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
21647264
description
https://api.openml.org/data/download/21647264/description.xml
-1
21647265
predictions
https://api.openml.org/data/download/21647265/predictions.arff
area_under_roc_curve
0.7166567164179104 [0.716657,0.716657]
average_cost
0
f_measure
0.7607490564419283 [0.835821,0.62069]
kappa
0.46211638864128374
kb_relative_information_score
0.475104839723144
mean_absolute_error
0.22916666666666666
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7662843109271682 [0.783217,0.734694]
predictive_accuracy
0.7708333333333333
prior_entropy
0.9331348051619819
recall
0.7708333333333334 [0.896,0.537313]
relative_absolute_error
0.5042266936540084
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.47871355387816905
root_relative_squared_error
1.0043484129207072
total_cost
0
area_under_roc_curve
0.8018518518518518 [0.801852,0.801852]
area_under_roc_curve
0.6437037037037037 [0.643704,0.643704]
area_under_roc_curve
0.7092592592592593 [0.709259,0.709259]
area_under_roc_curve
0.6081481481481481 [0.608148,0.608148]
area_under_roc_curve
0.7362962962962963 [0.736296,0.736296]
area_under_roc_curve
0.8018518518518518 [0.801852,0.801852]
area_under_roc_curve
0.7177777777777776 [0.717778,0.717778]
area_under_roc_curve
0.7492592592592593 [0.749259,0.749259]
area_under_roc_curve
0.7092307692307692 [0.709231,0.709231]
area_under_roc_curve
0.6892307692307691 [0.689231,0.689231]
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
0.8286619148983513 [0.873786,0.745098]
f_measure
0.6948051948051948 [0.8,0.5]
f_measure
0.7545642763034068 [0.833333,0.608696]
f_measure
0.6633366633366634 [0.8,0.410256]
f_measure
0.7732131813764467 [0.838095,0.653061]
f_measure
0.8286619148983513 [0.873786,0.745098]
f_measure
0.7582394021073267 [0.830189,0.625]
f_measure
0.801948051948052 [0.875,0.666667]
f_measure
0.7544147489313932 [0.830189,0.608696]
f_measure
0.7309379217273955 [0.807692,0.583333]
kappa
0.619536297985557
kappa
0.31417004048582997
kappa
0.44912559618441983
kappa
0.24798301486199587
kappa
0.4936170212765959
kappa
0.619536297985557
kappa
0.459016393442623
kappa
0.5552805280528054
kappa
0.4429967426710099
kappa
0.39297124600638966
kb_relative_information_score
0.613928093900214
kb_relative_information_score
0.34664754352343985
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.4951367381772036
kb_relative_information_score
0.613928093900214
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.5842302549694617
kb_relative_information_score
0.45392643516801073
kb_relative_information_score
0.3932515946311228
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.22077922077922077
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.18181818181818182
mean_absolute_error
0.23684210526315788
mean_absolute_error
0.2631578947368421
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
0.8289328595932369 [0.849057,0.791667]
precision
0.7030812324929973 [0.733333,0.647059]
precision
0.7621797440309238 [0.775862,0.736842]
precision
0.6933066933066934 [0.707692,0.666667]
precision
0.7744982290436836 [0.8,0.727273]
precision
0.8289328595932369 [0.849057,0.791667]
precision
0.7606679035250463 [0.785714,0.714286]
precision
0.8404692082111437 [0.790323,0.933333]
precision
0.756390977443609 [0.785714,0.7]
precision
0.7293992557150453 [0.777778,0.636364]
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.763157894736842
predictive_accuracy
0.736842105263158
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 [0.9,0.703704]
recall
0.7142857142857143 [0.88,0.407407]
recall
0.7662337662337663 [0.9,0.518519]
recall
0.7012987012987013 [0.92,0.296296]
recall
0.7792207792207793 [0.88,0.592593]
recall
0.8311688311688312 [0.9,0.703704]
recall
0.7662337662337663 [0.88,0.555556]
recall
0.8181818181818182 [0.98,0.518519]
recall
0.7631578947368421 [0.88,0.538462]
recall
0.7368421052631579 [0.84,0.538462]
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.4852281573191972
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.3995996589687507
relative_absolute_error
0.5234929747696018
relative_absolute_error
0.581658860855113
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
0.5465357250000211
root_mean_squared_error
0.4698714938993648
root_mean_squared_error
0.4108907018066591
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.4264014327112209
root_mean_squared_error
0.4866642633922876
root_mean_squared_error
0.512989176042577
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
0.9846940881518128
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
0.8935953242997315
root_relative_squared_error
1.025700885786965
root_relative_squared_error
1.0811836657130123
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
35.31438298523426
usercpu_time_millis
34.837932005757466
usercpu_time_millis
35.233718997915275
usercpu_time_millis
35.38985800696537
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
40.60793401731644
usercpu_time_millis
35.56377500353847
usercpu_time_millis
35.69311500177719
usercpu_time_millis
34.55214700079523
usercpu_time_millis_testing
2.8503149951575324
usercpu_time_millis_testing
2.7633910067379475
usercpu_time_millis_testing
2.7406040026107803
usercpu_time_millis_testing
2.7534730033949018
usercpu_time_millis_testing
2.758747010375373
usercpu_time_millis_testing
2.8662099939538166
usercpu_time_millis_testing
2.8400620067259297
usercpu_time_millis_testing
2.800524001941085
usercpu_time_millis_testing
2.7748849970521405
usercpu_time_millis_testing
2.6455479965079576
usercpu_time_millis_training
32.46406799007673
usercpu_time_millis_training
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usercpu_time_millis_training
32.493114995304495
usercpu_time_millis_training
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usercpu_time_millis_training
32.727821002481505
usercpu_time_millis_training
33.66431000176817
usercpu_time_millis_training
37.76787201059051
usercpu_time_millis_training
32.76325100159738
usercpu_time_millis_training
32.91823000472505
usercpu_time_millis_training
31.906599004287273
wall_clock_time_millis
35.33124923706055
wall_clock_time_millis
34.85417366027832
wall_clock_time_millis
36.228179931640625
wall_clock_time_millis
35.40778160095215
wall_clock_time_millis
35.50219535827637
wall_clock_time_millis
37.01591491699219
wall_clock_time_millis
40.62628746032715
wall_clock_time_millis
35.578012466430664
wall_clock_time_millis
35.71057319641113
wall_clock_time_millis
34.56854820251465
wall_clock_time_millis_testing
2.860546112060547
wall_clock_time_millis_testing
2.774953842163086
wall_clock_time_millis_testing
3.7283897399902344
wall_clock_time_millis_testing
2.7658939361572266
wall_clock_time_millis_testing
2.767801284790039
wall_clock_time_millis_testing
2.8765201568603516
wall_clock_time_millis_testing
2.8524398803710938
wall_clock_time_millis_testing
2.809286117553711
wall_clock_time_millis_testing
2.786874771118164
wall_clock_time_millis_testing
2.6559829711914062
wall_clock_time_millis_training
32.470703125
wall_clock_time_millis_training
32.079219818115234
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
32.73439407348633
wall_clock_time_millis_training
34.139394760131836
wall_clock_time_millis_training
37.773847579956055
wall_clock_time_millis_training
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wall_clock_time_millis_training
32.92369842529297
wall_clock_time_millis_training
31.912565231323242