10392120
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)
8232360
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
1091.7044234294376
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.22557986981301337
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0014491159214531093
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
1
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
21705949
description
https://api.openml.org/data/download/21705949/description.xml
-1
21705950
predictions
https://api.openml.org/data/download/21705950/predictions.arff
area_under_roc_curve
0.7583795339450655 [0.75838,0.75838]
average_cost
0
f_measure
0.7613784614697998 [0.733671,0.784767]
kappa
0.5186657602248802
kb_relative_information_score
0.5189196575607816
mean_absolute_error
0.23806984804052253
mean_prior_absolute_error
0.4964308656158626
number_of_instances
3751 [1717,2034]
precision
0.761543480894994 [0.751834,0.76974]
predictive_accuracy
0.7619301519594776
prior_entropy
0.9948419333531207
recall
0.7619301519594774 [0.716366,0.800393]
relative_absolute_error
0.4795629452757286
root_mean_prior_squared_error
0.4982112822885347
root_mean_squared_error
0.48792401871656466
root_relative_squared_error
0.9793516045547674
total_cost
0
area_under_roc_curve
0.7823187414500685 [0.782319,0.782319]
area_under_roc_curve
0.7760339099553213 [0.776034,0.776034]
area_under_roc_curve
0.7348923129797228 [0.734892,0.734892]
area_under_roc_curve
0.7690886699507389 [0.769089,0.769089]
area_under_roc_curve
0.756128995303013 [0.756129,0.756129]
area_under_roc_curve
0.761942948791385 [0.761943,0.761943]
area_under_roc_curve
0.6966147325008594 [0.696615,0.696615]
area_under_roc_curve
0.7650928792569659 [0.765093,0.765093]
area_under_roc_curve
0.7879256965944272 [0.787926,0.787926]
area_under_roc_curve
0.7537839697282421 [0.753784,0.753784]
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
0.7844130730122846 [0.762463,0.80292]
f_measure
0.7783807247593826 [0.755162,0.798054]
f_measure
0.7392853203403881 [0.69969,0.772834]
f_measure
0.7706666666666667 [0.75,0.788177]
f_measure
0.759291801013358 [0.730539,0.783654]
f_measure
0.7648069933287325 [0.738095,0.78744]
f_measure
0.7002228243116004 [0.662651,0.732057]
f_measure
0.7693658988308831 [0.736196,0.79717]
f_measure
0.789381623340807 [0.769679,0.805897]
f_measure
0.7568445962956303 [0.728358,0.780723]
kappa
0.5654109589041095
kappa
0.5532959226143489
kappa
0.47420534539830295
kappa
0.5381773399014779
kappa
0.5145421593164754
kappa
0.5257530466773971
kappa
0.3953354448603514
kappa
0.5342287694974005
kappa
0.5755791464305668
kappa
0.5092540661805944
kb_relative_information_score
0.564646389286632
kb_relative_information_score
0.5528412676078192
kb_relative_information_score
0.4774169031079356
kb_relative_information_score
0.5366789037864154
kb_relative_information_score
0.5151290853578775
kb_relative_information_score
0.5259039945721463
kb_relative_information_score
0.39660508400091776
kb_relative_information_score
0.5363753720675125
kb_relative_information_score
0.574112260387597
kb_relative_information_score
0.5094204518388797
mean_absolute_error
0.2154255319148936
mean_absolute_error
0.22133333333333333
mean_absolute_error
0.25866666666666666
mean_absolute_error
0.22933333333333333
mean_absolute_error
0.24
mean_absolute_error
0.23466666666666666
mean_absolute_error
0.2986666666666667
mean_absolute_error
0.22933333333333333
mean_absolute_error
0.21066666666666667
mean_absolute_error
0.24266666666666667
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
0.7843520956379422 [0.769231,0.797101]
precision
0.7783734070320898 [0.766467,0.788462]
precision
0.7419906181015452 [0.748344,0.736607]
precision
0.7706666666666667 [0.75,0.788177]
precision
0.7596754187677505 [0.753086,0.765258]
precision
0.7649831618695334 [0.756098,0.772512]
precision
0.7005612403100775 [0.6875,0.711628]
precision
0.7709231671554253 [0.774194,0.768182]
precision
0.789441173101157 [0.767442,0.807882]
precision
0.7568877586406195 [0.743902,0.767773]
predictive_accuracy
0.7845744680851063
predictive_accuracy
0.7786666666666666
predictive_accuracy
0.7413333333333334
predictive_accuracy
0.7706666666666666
predictive_accuracy
0.76
predictive_accuracy
0.7653333333333333
predictive_accuracy
0.7013333333333334
predictive_accuracy
0.7706666666666666
predictive_accuracy
0.7893333333333333
predictive_accuracy
0.7573333333333333
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
0.7845744680851063 [0.755814,0.808824]
recall
0.7786666666666666 [0.744186,0.807882]
recall
0.7413333333333333 [0.656977,0.812808]
recall
0.7706666666666667 [0.75,0.788177]
recall
0.76 [0.709302,0.802956]
recall
0.7653333333333333 [0.72093,0.802956]
recall
0.7013333333333334 [0.639535,0.753695]
recall
0.7706666666666667 [0.701754,0.828431]
recall
0.7893333333333333 [0.77193,0.803922]
recall
0.7573333333333333 [0.71345,0.794118]
relative_absolute_error
0.43397069488302514
relative_absolute_error
0.44577932206979654
relative_absolute_error
0.5209710149490393
relative_absolute_error
0.4618918276867771
relative_absolute_error
0.483375168509418
relative_absolute_error
0.4726334980980975
relative_absolute_error
0.6015335430339424
relative_absolute_error
0.4621014607914303
relative_absolute_error
0.4244885511921278
relative_absolute_error
0.48896782479093204
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
0.464139560816457
root_mean_squared_error
0.4704607670500627
root_mean_squared_error
0.508592829940284
root_mean_squared_error
0.4788875998951459
root_mean_squared_error
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root_mean_squared_error
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0.4788875998951459
root_mean_squared_error
0.45898438608156017
root_mean_squared_error
0.49261208538429774
root_relative_squared_error
0.931659110012214
root_relative_squared_error
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root_relative_squared_error
1.02067752277917
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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total_cost
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