10330571
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)
8186154
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
0.7572726382539152
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.4813122570452757
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.06810078725839559
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
37315
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
21582841
description
https://api.openml.org/data/download/21582841/description.xml
-1
21582842
predictions
https://api.openml.org/data/download/21582842/predictions.arff
area_under_roc_curve
0.5097459381544609 [0.509746,0.509746]
average_cost
0
f_measure
0.4021033136046101 [0.041002,0.706927]
kappa
0.021098649739726427
kb_relative_information_score
0.09278914146953644
mean_absolute_error
0.4489469474806718
mean_prior_absolute_error
0.4964308656158626
number_of_instances
3751 [1717,2034]
precision
0.7192254810741892 [0.923077,0.547144]
predictive_accuracy
0.5510530525193282
prior_entropy
0.9948419333531207
recall
0.5510530525193281 [0.020967,0.998525]
relative_absolute_error
0.9043493839242184
root_mean_prior_squared_error
0.4982112822885347
root_mean_squared_error
0.670035034517354
root_relative_squared_error
1.3448812950191464
total_cost
0
area_under_roc_curve
0.502906976744186 [0.502907,0.502907]
area_under_roc_curve
0.506257876045366 [0.506258,0.506258]
area_under_roc_curve
0.5058139534883721 [0.505814,0.505814]
area_under_roc_curve
0.5058139534883721 [0.505814,0.505814]
area_under_roc_curve
0.5116279069767442 [0.511628,0.511628]
area_under_roc_curve
0.5145348837209303 [0.514535,0.514535]
area_under_roc_curve
0.5058139534883721 [0.505814,0.505814]
area_under_roc_curve
0.5092449260405917 [0.509245,0.509245]
area_under_roc_curve
0.5121689026487788 [0.512169,0.512169]
area_under_roc_curve
0.5233918128654971 [0.523392,0.523392]
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
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f_measure
0.39664449371766447 [0.034091,0.703833]
f_measure
0.3921088761174968 [0.022989,0.704861]
f_measure
0.3921088761174968 [0.022989,0.704861]
f_measure
0.4037427937915742 [0.045455,0.707317]
f_measure
0.4094759073564646 [0.056497,0.708551]
f_measure
0.3921088761174968 [0.022989,0.704861]
f_measure
0.40550776053215076 [0.045455,0.707317]
f_measure
0.4112147188452096 [0.056497,0.708551]
f_measure
0.42946730718429876 [0.089385,0.714536]
kappa
0.006305637982195777
kappa
0.013524387224560425
kappa
0.012577057711966821
kappa
0.012577057711966821
kappa
0.02512998266897753
kappa
0.03139741705977878
kappa
0.012577057711966821
kappa
0.020065328978068203
kappa
0.026398022480294783
kappa
0.05069188836602535
kb_relative_information_score
0.08092015516068346
kb_relative_information_score
0.08413271678711474
kb_relative_information_score
0.08413271678711479
kb_relative_information_score
0.08413271678711469
kb_relative_information_score
0.09490762600138383
kb_relative_information_score
0.10029508060851847
kb_relative_information_score
0.08413271678711479
kb_relative_information_score
0.09431468031794456
kb_relative_information_score
0.09970566436367109
kb_relative_information_score
0.12126960054657708
mean_absolute_error
0.45478723404255317
mean_absolute_error
0.4533333333333333
mean_absolute_error
0.4533333333333333
mean_absolute_error
0.4533333333333333
mean_absolute_error
0.448
mean_absolute_error
0.44533333333333336
mean_absolute_error
0.4533333333333333
mean_absolute_error
0.448
mean_absolute_error
0.44533333333333336
mean_absolute_error
0.43466666666666665
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
0.7525957446808511 [1,0.544]
precision
0.6387421383647799 [0.75,0.544474]
precision
0.7532797140303843 [1,0.544236]
precision
0.7532797140303843 [1,0.544236]
precision
0.754867924528302 [1,0.54717]
precision
0.7556684684684685 [1,0.548649]
precision
0.7532797140303843 [1,0.544236]
precision
0.6632648648648649 [0.8,0.548649]
precision
0.6792737127371273 [0.833333,0.550136]
precision
0.7583869209809263 [1,0.555858]
predictive_accuracy
0.5452127659574468
predictive_accuracy
0.5466666666666666
predictive_accuracy
0.5466666666666666
predictive_accuracy
0.5466666666666666
predictive_accuracy
0.552
predictive_accuracy
0.5546666666666666
predictive_accuracy
0.5466666666666666
predictive_accuracy
0.552
predictive_accuracy
0.5546666666666666
predictive_accuracy
0.5653333333333334
prior_entropy
0.9947691829105159
prior_entropy
0.9950671927429882
prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
0.994415729388281
prior_entropy
0.994415729388281
prior_entropy
0.994415729388281
recall
0.5452127659574468 [0.005814,1]
recall
0.5466666666666666 [0.017442,0.995074]
recall
0.5466666666666666 [0.011628,1]
recall
0.5466666666666666 [0.011628,1]
recall
0.552 [0.023256,1]
recall
0.5546666666666666 [0.02907,1]
recall
0.5466666666666666 [0.011628,1]
recall
0.552 [0.023392,0.995098]
recall
0.5546666666666666 [0.02924,0.995098]
recall
0.5653333333333334 [0.046784,1]
relative_absolute_error
0.9161603558641641
relative_absolute_error
0.9130419849622338
relative_absolute_error
0.9130419849622338
relative_absolute_error
0.9130419849622338
relative_absolute_error
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relative_absolute_error
0.8969294793452534
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.8973365575833588
relative_absolute_error
0.8758434663837573
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.6673330003329173
root_mean_squared_error
0.6592925501373929
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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