10362754
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)
8218226
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
8.861502249304074
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.6186022571707905
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.23935215063082904
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
643
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
21647210
description
https://api.openml.org/data/download/21647210/description.xml
-1
21647211
predictions
https://api.openml.org/data/download/21647211/predictions.arff
area_under_roc_curve
0.6813880597014924 [0.681388,0.681388]
average_cost
0
f_measure
0.7183132904706572 [0.793404,0.578218]
kappa
0.3727799760743535
kb_relative_information_score
0.3647575617103959
mean_absolute_error
0.27734375
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7164315845828666 [0.770245,0.616034]
predictive_accuracy
0.72265625
prior_entropy
0.9331348051619819
recall
0.72265625 [0.818,0.544776]
relative_absolute_error
0.6102288962971807
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.5266343608235224
root_relative_squared_error
1.1048870043425285
total_cost
0
area_under_roc_curve
0.7448148148148148 [0.744815,0.744815]
area_under_roc_curve
0.5722222222222222 [0.572222,0.572222]
area_under_roc_curve
0.731851851851852 [0.731852,0.731852]
area_under_roc_curve
0.6607407407407409 [0.660741,0.660741]
area_under_roc_curve
0.6037037037037037 [0.603704,0.603704]
area_under_roc_curve
0.6962962962962964 [0.696296,0.696296]
area_under_roc_curve
0.6422222222222224 [0.642222,0.642222]
area_under_roc_curve
0.7848148148148149 [0.784815,0.784815]
area_under_roc_curve
0.6892307692307691 [0.689231,0.689231]
area_under_roc_curve
0.6884615384615383 [0.688462,0.688462]
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
0.7759425040978439 [0.834951,0.666667]
f_measure
0.6103896103896104 [0.7,0.444444]
f_measure
0.7438050455291836 [0.791667,0.655172]
f_measure
0.7045148247978437 [0.792453,0.541667]
f_measure
0.6507902474883608 [0.754717,0.458333]
f_measure
0.7260499634869146 [0.792079,0.603774]
f_measure
0.688825590794173 [0.785047,0.510638]
f_measure
0.8241188121880109 [0.878505,0.723404]
f_measure
0.7309379217273955 [0.807692,0.583333]
f_measure
0.722343132146032 [0.792079,0.588235]
kappa
0.5024705435195743
kappa
0.1444444444444444
kappa
0.4484240687679083
kappa
0.33879781420765026
kappa
0.21857923497267753
kappa
0.39596563317146066
kappa
0.302481291847184
kappa
0.6057502953918867
kappa
0.39297124600638966
kappa
0.3804347826086957
kb_relative_information_score
0.49513673817720344
kb_relative_information_score
0.10906483207741707
kb_relative_information_score
0.40604322138494553
kb_relative_information_score
0.34664754352343985
kb_relative_information_score
0.2278561878004285
kb_relative_information_score
0.37634538245419263
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.6139280939002144
kb_relative_information_score
0.3932515946311228
kb_relative_information_score
0.3629141743626787
mean_absolute_error
0.22077922077922077
mean_absolute_error
0.38961038961038963
mean_absolute_error
0.2597402597402597
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.33766233766233766
mean_absolute_error
0.2727272727272727
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.2631578947368421
mean_absolute_error
0.27631578947368424
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
0.775208282283754 [0.811321,0.708333]
precision
0.6103896103896104 [0.7,0.444444]
precision
0.7513342197774174 [0.826087,0.612903]
precision
0.7040816326530612 [0.75,0.619048]
precision
0.6474953617810761 [0.714286,0.52381]
precision
0.7250788427259015 [0.784314,0.615385]
precision
0.6888585099111415 [0.736842,0.6]
precision
0.8334814308498518 [0.824561,0.85]
precision
0.7293992557150453 [0.777778,0.636364]
precision
0.7212590299277606 [0.784314,0.6]
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.6103896103896104
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.736842105263158
predictive_accuracy
0.7236842105263157
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
0.7792207792207793 [0.86,0.62963]
recall
0.6103896103896104 [0.7,0.444444]
recall
0.7402597402597403 [0.76,0.703704]
recall
0.7142857142857143 [0.84,0.481481]
recall
0.6623376623376623 [0.8,0.407407]
recall
0.7272727272727273 [0.8,0.592593]
recall
0.7012987012987013 [0.84,0.444444]
recall
0.8311688311688312 [0.94,0.62963]
recall
0.7368421052631579 [0.84,0.538462]
recall
0.7236842105263158 [0.8,0.576923]
relative_absolute_error
0.4852281573191972
relative_absolute_error
0.8562849835044658
relative_absolute_error
0.5708566556696436
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.742113652370537
relative_absolute_error
0.599399488453126
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.581658860855113
relative_absolute_error
0.6107418038978688
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
0.4698714938993648
root_mean_squared_error
0.6241877839323593
root_mean_squared_error
0.5096471914376255
root_mean_squared_error
0.5345224838248488
root_mean_squared_error
0.5810872031479765
root_mean_squared_error
0.5222329678670935
root_mean_squared_error
0.5465357250000211
root_mean_squared_error
0.4108907018066591
root_mean_squared_error
0.512989176042577
root_mean_squared_error
0.5256574830378469
root_relative_squared_error
0.9846940881518128
root_relative_squared_error
1.3080896132558644
root_relative_squared_error
1.0680506967704846
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
1.217765157217718
root_relative_squared_error
1.0944262905356
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.0811836657130123
root_relative_squared_error
1.1078835791520962
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
48.734009003965184
usercpu_time_millis
47.90330500691198
usercpu_time_millis
56.977521991939284
usercpu_time_millis
49.15341500600334
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
48.37693400622811
usercpu_time_millis
48.92515500250738
usercpu_time_millis
47.333606009487994
usercpu_time_millis
47.12572900461964
usercpu_time_millis_testing
3.0036490061320364
usercpu_time_millis_testing
2.947696004412137
usercpu_time_millis_testing
3.031553002074361
usercpu_time_millis_testing
2.8889520035590976
usercpu_time_millis_testing
2.927188004832715
usercpu_time_millis_testing
3.041431002202444
usercpu_time_millis_testing
2.9592420032713562
usercpu_time_millis_testing
2.9773860005661845
usercpu_time_millis_testing
2.917238001828082
usercpu_time_millis_testing
2.9262860043672845
usercpu_time_millis_training
45.73035999783315
usercpu_time_millis_training
44.95560900249984
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
45.9477690019412
usercpu_time_millis_training
44.41636800765991
usercpu_time_millis_training
44.19944300025236
wall_clock_time_millis
48.77448081970215
wall_clock_time_millis
47.92070388793945
wall_clock_time_millis
56.993961334228516
wall_clock_time_millis
49.619197845458984
wall_clock_time_millis
49.663543701171875
wall_clock_time_millis
49.278974533081055
wall_clock_time_millis
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wall_clock_time_millis
48.93827438354492
wall_clock_time_millis
47.3482608795166
wall_clock_time_millis
47.14369773864746
wall_clock_time_millis_testing
3.011465072631836
wall_clock_time_millis_testing
2.959012985229492
wall_clock_time_millis_testing
3.0410289764404297
wall_clock_time_millis_testing
2.897977828979492
wall_clock_time_millis_testing
2.936840057373047
wall_clock_time_millis_testing
3.055572509765625
wall_clock_time_millis_testing
2.9692649841308594
wall_clock_time_millis_testing
2.9859542846679688
wall_clock_time_millis_testing
2.927064895629883
wall_clock_time_millis_testing
2.9382705688476562
wall_clock_time_millis_training
45.76301574707031
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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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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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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