10330469
8323
Heinrich Peters
9910
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8186069
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
877.9239202633385
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.5310687015843991
13389
decision_function_shape
"ovr"
13389
degree
1
13389
gamma
0.01855031591678096
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
3886
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.
4134
Bioresponse
https://www.openml.org/data/download/1681097/phpSSK7iA
-1
21582636
description
https://api.openml.org/data/download/21582636/description.xml
-1
21582637
predictions
https://api.openml.org/data/download/21582637/predictions.arff
area_under_roc_curve
0.6895002488275896 [0.6895,0.6895]
average_cost
0
f_measure
0.6921356816654041 [0.661186,0.718262]
kappa
0.37948273192772797
kb_relative_information_score
0.37831274896430694
mean_absolute_error
0.3076512929885364
mean_prior_absolute_error
0.4964308656158626
number_of_instances
3751 [1717,2034]
precision
0.6919999693152199 [0.666667,0.713385]
predictive_accuracy
0.6923487070114637
prior_entropy
0.9948419333531207
recall
0.6923487070114636 [0.655795,0.723206]
relative_absolute_error
0.619726359292487
root_mean_prior_squared_error
0.4982112822885347
root_mean_squared_error
0.5546632248387632
root_relative_squared_error
1.1133092415950847
total_cost
0
area_under_roc_curve
0.6965914272685819 [0.696591,0.696591]
area_under_roc_curve
0.6726715545881544 [0.672672,0.672672]
area_under_roc_curve
0.7004095543590331 [0.70041,0.70041]
area_under_roc_curve
0.7064239890021766 [0.706424,0.706424]
area_under_roc_curve
0.6740033222591362 [0.674003,0.674003]
area_under_roc_curve
0.6733159582999199 [0.673316,0.673316]
area_under_roc_curve
0.6648384694695842 [0.664838,0.664838]
area_under_roc_curve
0.7020123839009289 [0.702012,0.702012]
area_under_roc_curve
0.7248452012383901 [0.724845,0.724845]
area_under_roc_curve
0.679953560371517 [0.679954,0.679954]
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
0.6992429290171376 [0.668622,0.725061]
f_measure
0.6762597993677132 [0.636637,0.709832]
f_measure
0.7034342906000101 [0.670623,0.731235]
f_measure
0.7070519262981575 [0.6875,0.723618]
f_measure
0.6769164782636781 [0.643068,0.705596]
f_measure
0.6749178246697547 [0.649425,0.696517]
f_measure
0.6683575925072932 [0.628743,0.701923]
f_measure
0.7057577679137603 [0.668675,0.736842]
f_measure
0.7256905301216872 [0.704871,0.743142]
f_measure
0.6825893065842588 [0.651026,0.709046]
kappa
0.3937214611872147
kappa
0.34703774589515196
kappa
0.4020685197155785
kappa
0.41138698630136994
kappa
0.3487808028474245
kappa
0.346017496712219
kappa
0.3311469750582549
kappa
0.4059448716840922
kappa
0.4482064029486137
kappa
0.3600774360077435
kb_relative_information_score
0.39265483937518375
kb_relative_information_score
0.34811799253670683
kb_relative_information_score
0.4019925386080525
kb_relative_information_score
0.4073799932151865
kb_relative_information_score
0.3481179925367071
kb_relative_information_score
0.34273053792957264
kb_relative_information_score
0.33195562871530354
kb_relative_information_score
0.40699175497007817
kb_relative_information_score
0.444728643290162
kb_relative_information_score
0.35847289855854003
mean_absolute_error
0.300531914893617
mean_absolute_error
0.32266666666666666
mean_absolute_error
0.296
mean_absolute_error
0.29333333333333333
mean_absolute_error
0.32266666666666666
mean_absolute_error
0.3253333333333333
mean_absolute_error
0.33066666666666666
mean_absolute_error
0.29333333333333333
mean_absolute_error
0.27466666666666667
mean_absolute_error
0.31733333333333336
mean_prior_absolute_error
0.4964057123095849
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4962835065281108
mean_prior_absolute_error
0.4962835065281108
mean_prior_absolute_error
0.4962835065281108
number_of_instances
376 [172,204]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [171,204]
number_of_instances
375 [171,204]
number_of_instances
375 [171,204]
precision
0.6991070434819101 [0.674556,0.719807]
precision
0.6763593583715486 [0.658385,0.691589]
precision
0.7033616161616162 [0.684848,0.719048]
precision
0.7080797720797721 [0.672222,0.738462]
precision
0.6767410563488407 [0.652695,0.697115]
precision
0.6753223694228719 [0.642045,0.703518]
precision
0.6683387237002261 [0.648148,0.685446]
precision
0.7058617286817206 [0.689441,0.719626]
precision
0.7265529002452519 [0.691011,0.756345]
precision
0.6825216642754662 [0.652941,0.707317]
predictive_accuracy
0.6994680851063829
predictive_accuracy
0.6773333333333333
predictive_accuracy
0.7040000000000001
predictive_accuracy
0.7066666666666667
predictive_accuracy
0.6773333333333333
predictive_accuracy
0.6746666666666666
predictive_accuracy
0.6693333333333333
predictive_accuracy
0.7066666666666667
predictive_accuracy
0.7253333333333333
predictive_accuracy
0.6826666666666666
prior_entropy
0.9947691829105159
prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
prior_entropy
0.994415729388281
prior_entropy
0.994415729388281
prior_entropy
0.994415729388281
recall
0.699468085106383 [0.662791,0.730392]
recall
0.6773333333333333 [0.616279,0.729064]
recall
0.704 [0.656977,0.743842]
recall
0.7066666666666667 [0.703488,0.70936]
recall
0.6773333333333333 [0.633721,0.714286]
recall
0.6746666666666666 [0.656977,0.689655]
recall
0.6693333333333333 [0.610465,0.719212]
recall
0.7066666666666667 [0.649123,0.754902]
recall
0.7253333333333334 [0.719298,0.730392]
recall
0.6826666666666666 [0.649123,0.710784]
relative_absolute_error
0.6054159076763189
relative_absolute_error
0.6498710598848841
relative_absolute_error
0.5961627078282821
relative_absolute_error
0.5907918726226219
relative_absolute_error
0.6498710598848841
relative_absolute_error
0.6552418950905442
relative_absolute_error
0.6659835655018647
relative_absolute_error
0.5910600079890387
relative_absolute_error
0.5534470983897363
relative_absolute_error
0.6394194631881419
root_mean_prior_squared_error
0.4981860380352768
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4980633721845164
root_mean_prior_squared_error
0.4980633721845164
root_mean_prior_squared_error
0.4980633721845164
root_mean_squared_error
0.5482079121041733
root_mean_squared_error
0.5680375574437545
root_mean_squared_error
0.5440588203494178
root_mean_squared_error
0.5416025603090641
root_mean_squared_error
0.5680375574437545
root_mean_squared_error
0.570379990298865
root_mean_squared_error
0.5750362307426087
root_mean_squared_error
0.5416025603090641
root_mean_squared_error
0.5240865068542279
root_mean_squared_error
0.5633234713140696
root_relative_squared_error
1.1004080207991587
root_relative_squared_error
1.1399751094511037
root_relative_squared_error
1.0918530036406573
root_relative_squared_error
1.0869236195327767
root_relative_squared_error
1.1399751094511037
root_relative_squared_error
1.1446760576813637
root_relative_squared_error
1.1540205070754743
root_relative_squared_error
1.0874169644990834
root_relative_squared_error
1.0522486416850398
root_relative_squared_error
1.1310277020438604
total_cost
0
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0
total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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usercpu_time_millis
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wall_clock_time_millis
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