10328861
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)
8184485
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
20782.267317842347
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.3671201161021156
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.10680238302677152
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
57465
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
21579410
description
https://api.openml.org/data/download/21579410/description.xml
-1
21579411
predictions
https://api.openml.org/data/download/21579411/predictions.arff
area_under_roc_curve
0.6565820895522388 [0.656582,0.656582]
average_cost
0
f_measure
0.6850155758129185 [0.754297,0.555759]
kappa
0.31021023684910853
kb_relative_information_score
0.2752867957541129
mean_absolute_error
0.31640625
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.6867158352940314 [0.762781,0.544803]
predictive_accuracy
0.68359375
prior_entropy
0.9331348051619819
recall
0.68359375 [0.746,0.567164]
relative_absolute_error
0.6961766281700231
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.5625
root_relative_squared_error
1.1801336680174186
total_cost
0
area_under_roc_curve
0.6677777777777778 [0.667778,0.667778]
area_under_roc_curve
0.5807407407407408 [0.580741,0.580741]
area_under_roc_curve
0.7203703703703704 [0.72037,0.72037]
area_under_roc_curve
0.6948148148148148 [0.694815,0.694815]
area_under_roc_curve
0.5737037037037037 [0.573704,0.573704]
area_under_roc_curve
0.6733333333333333 [0.673333,0.673333]
area_under_roc_curve
0.6022222222222221 [0.602222,0.602222]
area_under_roc_curve
0.7533333333333333 [0.753333,0.753333]
area_under_roc_curve
0.6776923076923078 [0.677692,0.677692]
area_under_roc_curve
0.6207692307692307 [0.620769,0.620769]
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
0.6999594838190019 [0.772277,0.566038]
f_measure
0.613371322554996 [0.693878,0.464286]
f_measure
0.7202965337607694 [0.76087,0.645161]
f_measure
0.7164723032069972 [0.77551,0.607143]
f_measure
0.617784271696322 [0.718447,0.431373]
f_measure
0.6817346235643433 [0.731183,0.590164]
f_measure
0.6441439770965756 [0.737864,0.470588]
f_measure
0.7782309228227403 [0.831683,0.679245]
f_measure
0.7009421397918414 [0.762887,0.581818]
f_measure
0.6657733098349202 [0.757282,0.489796]
kappa
0.3384385506163617
kappa
0.15877640203932997
kappa
0.41262135922330095
kappa
0.383102694828842
kappa
0.1512732801216267
kappa
0.32715833624606777
kappa
0.20980615735461797
kappa
0.5110197982816587
kappa
0.34580838323353286
kappa
0.24841772151898736
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.10906483207741706
kb_relative_information_score
0.34664754352343985
kb_relative_information_score
0.34664754352343985
kb_relative_information_score
0.13876267100816994
kb_relative_information_score
0.25755402673118133
kb_relative_information_score
0.19815834886967554
kb_relative_information_score
0.49513673817720333
kb_relative_information_score
0.30223933382579077
kb_relative_information_score
0.24156449328890278
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.38961038961038963
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.37662337662337664
mean_absolute_error
0.3246753246753247
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.22077922077922077
mean_absolute_error
0.3026315789473684
mean_absolute_error
0.32894736842105265
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
0.6988599635658459 [0.764706,0.576923]
precision
0.6171443499029707 [0.708333,0.448276]
precision
0.7414965986394558 [0.833333,0.571429]
precision
0.7196223316912971 [0.791667,0.586207]
precision
0.6140345503553051 [0.698113,0.458333]
precision
0.6990779398440138 [0.790698,0.529412]
precision
0.6408968390100466 [0.716981,0.5]
precision
0.7775166010460127 [0.823529,0.692308]
precision
0.7066648646561378 [0.787234,0.551724]
precision
0.6626009239670134 [0.735849,0.521739]
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.6103896103896104
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.6753246753246753
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.6973684210526316
predictive_accuracy
0.6710526315789473
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
0.7012987012987013 [0.78,0.555556]
recall
0.6103896103896104 [0.68,0.481481]
recall
0.7142857142857143 [0.7,0.740741]
recall
0.7142857142857143 [0.76,0.62963]
recall
0.6233766233766234 [0.74,0.407407]
recall
0.6753246753246753 [0.68,0.666667]
recall
0.6493506493506493 [0.76,0.444444]
recall
0.7792207792207793 [0.84,0.666667]
recall
0.6973684210526315 [0.74,0.615385]
recall
0.6710526315789473 [0.78,0.461538]
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.8562849835044658
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.8277421507209834
relative_absolute_error
0.7135708195870546
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.4852281573191972
relative_absolute_error
0.66890768998338
relative_absolute_error
0.7270735760688914
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
0.5465357250000211
root_mean_squared_error
0.6241877839323593
root_mean_squared_error
0.5345224838248488
root_mean_squared_error
0.5345224838248488
root_mean_squared_error
0.6136964857512031
root_mean_squared_error
0.5698028822981898
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.4698714938993648
root_mean_squared_error
0.5501196042201808
root_mean_squared_error
0.5735393346764044
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
1.3080896132558644
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
1.28610334801068
root_relative_squared_error
1.1941169806974095
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
0.9846940881518128
root_relative_squared_error
1.159440311898513
root_relative_squared_error
1.2088000863483521
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
296.80000300868414
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
254.43938601529226
usercpu_time_millis_testing
2.21732999489177
usercpu_time_millis_testing
2.203051990363747
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
2.2086130047682673
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
428.8299083709717
wall_clock_time_millis
315.2632713317871
wall_clock_time_millis
281.4304828643799
wall_clock_time_millis
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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