10328814
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)
8184438
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
9752.749987151079
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.10517868292249122
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.05040735556381989
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
42367
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
21579316
description
https://api.openml.org/data/download/21579316/description.xml
-1
21579317
predictions
https://api.openml.org/data/download/21579317/predictions.arff
area_under_roc_curve
0.3427611940298507 [0.342761,0.342761]
average_cost
0
f_measure
0.40260109970305497 [0.540541,0.145251]
kappa
-0.3142056130513884
kb_relative_information_score
-0.36890271913111566
mean_absolute_error
0.59765625
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.4028595061870954 [0.541082,0.144981]
predictive_accuracy
0.40234375
prior_entropy
0.9331348051619819
recall
0.40234375 [0.54,0.145522]
relative_absolute_error
1.3150002976544881
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.7730823048033113
root_relative_squared_error
1.6219385885278077
total_cost
0
area_under_roc_curve
0.3655555555555556 [0.365556,0.365556]
area_under_roc_curve
0.3425925925925926 [0.342593,0.342593]
area_under_roc_curve
0.3996296296296296 [0.39963,0.39963]
area_under_roc_curve
0.34111111111111103 [0.341111,0.341111]
area_under_roc_curve
0.3655555555555556 [0.365556,0.365556]
area_under_roc_curve
0.32851851851851854 [0.328519,0.328519]
area_under_roc_curve
0.3625925925925926 [0.362593,0.362593]
area_under_roc_curve
0.31407407407407406 [0.314074,0.314074]
area_under_roc_curve
0.2784615384615384 [0.278462,0.278462]
area_under_roc_curve
0.32769230769230767 [0.327692,0.327692]
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
0.42636275289336506 [0.590476,0.122449]
f_measure
0.3962342595006729 [0.515464,0.175439]
f_measure
0.44761857784104125 [0.556701,0.245614]
f_measure
0.3878972091738049 [0.489362,0.2]
f_measure
0.42636275289336506 [0.590476,0.122449]
f_measure
0.3911805037277299 [0.579439,0.042553]
f_measure
0.41794569067296344 [0.545455,0.181818]
f_measure
0.3705421003304888 [0.494845,0.140351]
f_measure
0.3475752874249115 [0.489796,0.074074]
f_measure
0.39473684210526316 [0.54,0.115385]
kappa
-0.28085106382978714
kappa
-0.3069700252798844
kappa
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kappa
-0.30232558139534876
kappa
-0.28085106382978714
kappa
-0.3647105159511618
kappa
-0.2724935732647815
kappa
-0.3625857710364752
kappa
-0.43504531722054396
kappa
-0.3446153846153845
kb_relative_information_score
-0.2770070740223699
kb_relative_information_score
-0.3957984297453813
kb_relative_information_score
-0.2770070740223699
kb_relative_information_score
-0.4254962686761341
kb_relative_information_score
-0.27700707402236985
kb_relative_information_score
-0.33640275188387564
kb_relative_information_score
-0.33640275188387553
kb_relative_information_score
-0.455194107606887
kb_relative_information_score
-0.5168710134221969
kb_relative_information_score
-0.39552133234842096
mean_absolute_error
0.5584415584415584
mean_absolute_error
0.6103896103896104
mean_absolute_error
0.5584415584415584
mean_absolute_error
0.6233766233766234
mean_absolute_error
0.5584415584415584
mean_absolute_error
0.5844155844155844
mean_absolute_error
0.5844155844155844
mean_absolute_error
0.6363636363636364
mean_absolute_error
0.6578947368421053
mean_absolute_error
0.6052631578947368
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
0.41381345926800467 [0.563636,0.136364]
precision
0.40384084001105275 [0.531915,0.166667]
precision
0.4548494059132357 [0.574468,0.233333]
precision
0.40318772136953956 [0.522727,0.181818]
precision
0.41381345926800467 [0.563636,0.136364]
precision
0.3706880838459786 [0.54386,0.05]
precision
0.42042141531937444 [0.55102,0.178571]
precision
0.37833655705996133 [0.510638,0.133333]
precision
0.3533834586466165 [0.5,0.071429]
precision
0.39473684210526316 [0.54,0.115385]
predictive_accuracy
0.4415584415584416
predictive_accuracy
0.3896103896103896
predictive_accuracy
0.4415584415584416
predictive_accuracy
0.37662337662337664
predictive_accuracy
0.4415584415584416
predictive_accuracy
0.41558441558441556
predictive_accuracy
0.41558441558441556
predictive_accuracy
0.36363636363636365
predictive_accuracy
0.34210526315789475
predictive_accuracy
0.39473684210526316
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
0.44155844155844154 [0.62,0.111111]
recall
0.38961038961038963 [0.5,0.185185]
recall
0.44155844155844154 [0.54,0.259259]
recall
0.37662337662337664 [0.46,0.222222]
recall
0.44155844155844154 [0.62,0.111111]
recall
0.4155844155844156 [0.62,0.037037]
recall
0.4155844155844156 [0.54,0.185185]
recall
0.36363636363636365 [0.48,0.148148]
recall
0.34210526315789475 [0.48,0.076923]
recall
0.39473684210526316 [0.54,0.115385]
relative_absolute_error
1.227341809689734
relative_absolute_error
1.3415131408236627
relative_absolute_error
1.227341809689734
relative_absolute_error
1.3700559736071451
relative_absolute_error
1.227341809689734
relative_absolute_error
1.2844274752566986
relative_absolute_error
1.2844274752566986
relative_absolute_error
1.3985988063906272
relative_absolute_error
1.454147152137783
relative_absolute_error
1.33781537996676
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
0.7472894743280936
root_mean_squared_error
0.7812743502698718
root_mean_squared_error
0.7472894743280936
root_mean_squared_error
0.7895420339517227
root_mean_squared_error
0.7472894743280936
root_mean_squared_error
0.7644707871564383
root_mean_squared_error
0.7644707871564383
root_mean_squared_error
0.7977240352174656
root_mean_squared_error
0.8111071056538127
root_mean_squared_error
0.7779866052154991
root_relative_squared_error
1.566069738349676
root_relative_squared_error
1.6372907144270399
root_relative_squared_error
1.566069738349676
root_relative_squared_error
1.654617024598926
root_relative_squared_error
1.566069738349676
root_relative_squared_error
1.6020760451557272
root_relative_squared_error
1.6020760451557272
root_relative_squared_error
1.6717637729763728
root_relative_squared_error
1.7095014763116083
root_relative_squared_error
1.6396962138489686
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
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
18.36898099281825
usercpu_time_millis
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usercpu_time_millis
18.674802005989477
usercpu_time_millis_testing
1.6804820043034852
usercpu_time_millis_testing
1.5945839986670762
usercpu_time_millis_testing
1.6566359990974888
usercpu_time_millis_testing
1.7192799859913066
usercpu_time_millis_testing
1.7023620021063834
usercpu_time_millis_testing
1.6408950032200664
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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usercpu_time_millis_training
17.001094005536288
wall_clock_time_millis
18.455982208251953
wall_clock_time_millis
17.857074737548828
wall_clock_time_millis
18.421411514282227
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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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
1.645803451538086
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
1.5933513641357422
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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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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