10362778
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)
8218250
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
3174.1301819508567
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.00012578168920674183
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
58599
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
21647258
description
https://api.openml.org/data/download/21647258/description.xml
-1
21647259
predictions
https://api.openml.org/data/download/21647259/predictions.arff
area_under_roc_curve
0.7201194029850746 [0.720119,0.720119]
average_cost
0
f_measure
0.7621888407459325 [0.834586,0.627119]
kappa
0.4660599165718621
kb_relative_information_score
0.475104839723144
mean_absolute_error
0.22916666666666666
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7656880127937701 [0.787234,0.72549]
predictive_accuracy
0.7708333333333333
prior_entropy
0.9331348051619819
recall
0.7708333333333334 [0.888,0.552239]
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
0.8103703703703704 [0.81037,0.81037]
area_under_roc_curve
0.6237037037037036 [0.623704,0.623704]
area_under_roc_curve
0.7277777777777777 [0.727778,0.727778]
area_under_roc_curve
0.6637037037037036 [0.663704,0.663704]
area_under_roc_curve
0.7548148148148148 [0.754815,0.754815]
area_under_roc_curve
0.8003703703703704 [0.80037,0.80037]
area_under_roc_curve
0.7177777777777776 [0.717778,0.717778]
area_under_roc_curve
0.7492592592592593 [0.749259,0.749259]
area_under_roc_curve
0.7000000000000001 [0.7,0.7]
area_under_roc_curve
0.6507692307692308 [0.650769,0.650769]
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
0.8304118821585662 [0.871287,0.754717]
f_measure
0.6727523684045422 [0.777778,0.478261]
f_measure
0.7700015236304757 [0.841121,0.638298]
f_measure
0.7170686456400742 [0.821429,0.52381]
f_measure
0.7878921078921078 [0.846154,0.68]
f_measure
0.8181818181818181 [0.86,0.740741]
f_measure
0.7582394021073267 [0.830189,0.625]
f_measure
0.801948051948052 [0.875,0.666667]
f_measure
0.7503987240829346 [0.833333,0.590909]
f_measure
0.699840248693925 [0.792453,0.521739]
kappa
0.6260739633918567
kappa
0.2655007949125597
kappa
0.48444269397400563
kappa
0.36468646864686466
kappa
0.5276073619631902
kappa
0.6007407407407408
kappa
0.459016393442623
kappa
0.5552805280528054
kappa
0.4318936877076413
kappa
0.3192182410423453
kb_relative_information_score
0.6139280939002139
kb_relative_information_score
0.28725186566193417
kb_relative_information_score
0.4951367381772037
kb_relative_information_score
0.40604322138494553
kb_relative_information_score
0.5248345771079564
kb_relative_information_score
0.5842302549694612
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.5842302549694617
kb_relative_information_score
0.4539264351680107
kb_relative_information_score
0.33257675409423476
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.3116883116883117
mean_absolute_error
0.22077922077922077
mean_absolute_error
0.2597402597402597
mean_absolute_error
0.2077922077922078
mean_absolute_error
0.18181818181818182
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.18181818181818182
mean_absolute_error
0.23684210526315788
mean_absolute_error
0.2894736842105263
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
0.8299543593661242 [0.862745,0.769231]
precision
0.6732269545336695 [0.724138,0.578947]
precision
0.7756322624743677 [0.789474,0.75]
precision
0.7389191453707582 [0.741935,0.733333]
precision
0.788276136102223 [0.814815,0.73913]
precision
0.8181818181818182 [0.86,0.740741]
precision
0.7606679035250463 [0.785714,0.714286]
precision
0.8404692082111437 [0.790323,0.933333]
precision
0.7575115950796532 [0.775862,0.722222]
precision
0.6986842105263158 [0.75,0.6]
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.6883116883116882
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.763157894736842
predictive_accuracy
0.7105263157894737
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 [0.88,0.740741]
recall
0.6883116883116883 [0.84,0.407407]
recall
0.7792207792207793 [0.9,0.555556]
recall
0.7402597402597403 [0.92,0.407407]
recall
0.7922077922077922 [0.88,0.62963]
recall
0.8181818181818182 [0.86,0.740741]
recall
0.7662337662337663 [0.88,0.555556]
recall
0.8181818181818182 [0.98,0.518519]
recall
0.7631578947368421 [0.9,0.5]
recall
0.7105263157894737 [0.84,0.461538]
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.6850279868035726
relative_absolute_error
0.4852281573191972
relative_absolute_error
0.5708566556696436
relative_absolute_error
0.45668532453571503
relative_absolute_error
0.3995996589687507
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.3995996589687507
relative_absolute_error
0.5234929747696018
relative_absolute_error
0.6398247469406244
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
0.5582905262390825
root_mean_squared_error
0.4698714938993648
root_mean_squared_error
0.5096471914376255
root_mean_squared_error
0.4558423058385518
root_mean_squared_error
0.4264014327112209
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.4264014327112209
root_mean_squared_error
0.4866642633922876
root_mean_squared_error
0.5380275868489703
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.169990918360609
root_relative_squared_error
0.9846940881518128
root_relative_squared_error
1.0680506967704846
root_relative_squared_error
0.9552935845579276
root_relative_squared_error
0.8935953242997315
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
0.8935953242997315
root_relative_squared_error
1.025700885786965
root_relative_squared_error
1.133954995096847
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
42.02032298780978
usercpu_time_millis
38.96936701494269
usercpu_time_millis
42.59554998134263
usercpu_time_millis
41.864401995553635
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
42.22924499481451
usercpu_time_millis
40.395768999587744
usercpu_time_millis
40.297011015354656
usercpu_time_millis
41.05637398606632
usercpu_time_millis_testing
2.7228589897276834
usercpu_time_millis_testing
2.516602005925961
usercpu_time_millis_testing
2.6243899919791147
usercpu_time_millis_testing
2.641946994117461
usercpu_time_millis_testing
7.341920994804241
usercpu_time_millis_testing
2.730544001678936
usercpu_time_millis_testing
2.609944000141695
usercpu_time_millis_testing
2.681553000002168
usercpu_time_millis_testing
2.578405008534901
usercpu_time_millis_testing
2.6219269930152223
usercpu_time_millis_training
39.297463998082094
usercpu_time_millis_training
36.45276500901673
usercpu_time_millis_training
39.971159989363514
usercpu_time_millis_training
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usercpu_time_millis_training
42.34990000259131
usercpu_time_millis_training
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usercpu_time_millis_training
39.61930099467281
usercpu_time_millis_training
37.714215999585576
usercpu_time_millis_training
37.718606006819755
usercpu_time_millis_training
38.4344469930511
wall_clock_time_millis
42.03486442565918
wall_clock_time_millis
38.98143768310547
wall_clock_time_millis
42.61183738708496
wall_clock_time_millis
41.88227653503418
wall_clock_time_millis
49.71194267272949
wall_clock_time_millis
41.733741760253906
wall_clock_time_millis
42.24395751953125
wall_clock_time_millis
40.41266441345215
wall_clock_time_millis
40.30966758728027
wall_clock_time_millis
41.074514389038086
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
2.5272369384765625
wall_clock_time_millis_testing
2.6352405548095703
wall_clock_time_millis_testing
2.652406692504883
wall_clock_time_millis_testing
7.352352142333984
wall_clock_time_millis_testing
2.7379989624023438
wall_clock_time_millis_testing
2.619028091430664
wall_clock_time_millis_testing
2.691984176635742
wall_clock_time_millis_testing
2.5870800018310547
wall_clock_time_millis_testing
2.6319026947021484
wall_clock_time_millis_training
39.30234909057617
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
37.72258758544922
wall_clock_time_millis_training
38.44261169433594