10326600
8323
Heinrich Peters
9981
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8182271
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
10139.809803411456
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.3001248192233066
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.005578662823307313
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
58252
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.
1468
cnae-9
https://www.openml.org/data/download/1586233/phpmcGu2X
-1
21574886
description
https://api.openml.org/data/download/21574886/description.xml
-1
21574887
predictions
https://api.openml.org/data/download/21574887/predictions.arff
area_under_roc_curve
0.9125 [0.966667,0.920312,0.902083,0.847917,0.976562,0.882292,0.910417,0.970833,0.835417]
average_cost
0
f_measure
0.846195435810437 [0.937759,0.883117,0.852174,0.761062,0.958333,0.714801,0.776119,0.942149,0.790244]
kappa
0.8250000000000001
kb_relative_information_score
0.8361058313889025
mean_absolute_error
0.034567901234567815
mean_prior_absolute_error
0.197530864197526
number_of_instances
1080 [120,120,120,120,120,120,120,120,120]
precision
0.8593344169431241 [0.933884,0.918919,0.890909,0.811321,0.958333,0.630573,0.702703,0.934426,0.952941]
predictive_accuracy
0.8444444444444444
prior_entropy
3.1699250014422624
recall
0.8444444444444444 [0.941667,0.85,0.816667,0.716667,0.958333,0.825,0.866667,0.95,0.675]
relative_absolute_error
0.17500000000000387
root_mean_prior_squared_error
0.3142696805273506
root_mean_squared_error
0.18592445034090543
root_relative_squared_error
0.5916079783099681
total_cost
0
area_under_roc_curve
0.9010416666666666 [0.953125,0.890625,0.786458,0.911458,0.953125,0.869792,0.958333,0.869792,0.916667]
area_under_roc_curve
0.9010416666666666 [0.994792,0.958333,0.953125,0.90625,0.875,0.765625,0.90625,1,0.75]
area_under_roc_curve
0.9322916666666666 [1,0.90625,0.864583,0.828125,1,0.979167,0.901042,0.994792,0.916667]
area_under_roc_curve
0.8854166666666666 [1,0.869792,0.864583,0.697917,1,0.78125,0.921875,1,0.833333]
area_under_roc_curve
0.9010416666666666 [0.958333,1,0.828125,0.786458,0.979167,0.90625,0.984375,0.916667,0.75]
area_under_roc_curve
0.9322916666666666 [0.958333,0.958333,0.989583,0.854167,1,0.9375,0.875,0.984375,0.833333]
area_under_roc_curve
0.9166666666666666 [0.953125,0.875,0.947917,0.875,1,0.869792,0.854167,1,0.875]
area_under_roc_curve
0.9166666666666666 [0.953125,0.911458,0.911458,0.901042,0.958333,0.932292,0.973958,0.958333,0.75]
area_under_roc_curve
0.9166666666666666 [0.9375,0.875,1,0.869792,1,0.890625,0.78125,0.989583,0.90625]
area_under_roc_curve
0.921875 [0.958333,0.958333,0.875,0.848958,1,0.890625,0.947917,0.994792,0.822917]
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
0.8265659818799915 [0.916667,0.740741,0.7,0.869565,0.916667,0.818182,0.75,0.818182,0.909091]
f_measure
0.8267034736599954 [0.96,0.956522,0.916667,0.833333,0.857143,0.583333,0.666667,1,0.666667]
f_measure
0.8782311730137816 [1,0.833333,0.782609,0.761905,1,0.857143,0.8,0.96,0.909091]
f_measure
0.7993081077749269 [1,0.818182,0.782609,0.526316,1,0.533333,0.733333,1,0.8]
f_measure
0.8229869432767983 [0.956522,1,0.761905,0.7,0.857143,0.666667,0.888889,0.909091,0.666667]
f_measure
0.8796629957982616 [0.956522,0.956522,0.923077,0.72,1,0.814815,0.857143,0.888889,0.8]
f_measure
0.8592507253797577 [0.916667,0.857143,0.88,0.857143,1,0.645161,0.72,1,0.857143]
f_measure
0.8498675265541833 [0.916667,0.869565,0.869565,0.8,0.956522,0.785714,0.827586,0.956522,0.666667]
f_measure
0.8504396837730172 [0.814815,0.857143,1,0.818182,1,0.740741,0.666667,0.923077,0.833333]
f_measure
0.8633897217472097 [0.956522,0.956522,0.857143,0.692308,1,0.740741,0.88,0.96,0.727273]
kappa
0.8020833333333335
kappa
0.8020833333333335
kappa
0.8645833333333335
kappa
0.7708333333333333
kappa
0.8020833333333335
kappa
0.8645833333333335
kappa
0.8333333333333334
kappa
0.8333333333333334
kappa
0.8333333333333334
kappa
0.84375
kb_relative_information_score
0.8146434997850601
kb_relative_information_score
0.8146434997850599
kb_relative_information_score
0.8731771314318831
kb_relative_information_score
0.7853766839616483
kb_relative_information_score
0.8146434997850601
kb_relative_information_score
0.8731771314318831
kb_relative_information_score
0.8439103156084715
kb_relative_information_score
0.8439103156084716
kb_relative_information_score
0.8439103156084715
kb_relative_information_score
0.853665920882942
mean_absolute_error
0.039094650205761326
mean_absolute_error
0.039094650205761326
mean_absolute_error
0.026748971193415644
mean_absolute_error
0.045267489711934165
mean_absolute_error
0.039094650205761326
mean_absolute_error
0.026748971193415644
mean_absolute_error
0.03292181069958849
mean_absolute_error
0.03292181069958849
mean_absolute_error
0.03292181069958849
mean_absolute_error
0.030864197530864206
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
precision
0.8537878787878788 [0.916667,0.666667,0.875,0.909091,0.916667,0.9,0.6,0.9,1]
precision
0.8644688644688645 [0.923077,1,0.916667,0.833333,1,0.583333,0.52381,1,1]
precision
0.8869679703013036 [1,0.833333,0.818182,0.888889,1,0.75,0.769231,0.923077,1]
precision
0.8320025653358987 [1,0.9,0.818182,0.714286,1,0.444444,0.611111,1,1]
precision
0.8708553791887126 [1,1,0.888889,0.875,0.75,0.52381,0.8,1,1]
precision
0.898087098087098 [1,1,0.857143,0.692308,1,0.733333,1,0.8,1]
precision
0.886827110511321 [0.916667,1,0.846154,1,1,0.526316,0.692308,1,1]
precision
0.8774957341133812 [0.916667,0.909091,0.909091,0.769231,1,0.6875,0.705882,1,1]
precision
0.8631393298059964 [0.733333,1,1,0.9,1,0.666667,0.777778,0.857143,0.833333]
precision
0.8754171754171755 [1,1,1,0.642857,1,0.666667,0.846154,0.923077,0.8]
predictive_accuracy
0.8240740740740741
predictive_accuracy
0.8240740740740741
predictive_accuracy
0.8796296296296297
predictive_accuracy
0.7962962962962963
predictive_accuracy
0.8240740740740741
predictive_accuracy
0.8796296296296297
predictive_accuracy
0.8518518518518519
predictive_accuracy
0.8518518518518519
predictive_accuracy
0.8518518518518519
predictive_accuracy
0.8611111111111112
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
recall
0.8240740740740741 [0.916667,0.833333,0.583333,0.833333,0.916667,0.75,1,0.75,0.833333]
recall
0.8240740740740741 [1,0.916667,0.916667,0.833333,0.75,0.583333,0.916667,1,0.5]
recall
0.8796296296296297 [1,0.833333,0.75,0.666667,1,1,0.833333,1,0.833333]
recall
0.7962962962962963 [1,0.75,0.75,0.416667,1,0.666667,0.916667,1,0.666667]
recall
0.8240740740740741 [0.916667,1,0.666667,0.583333,1,0.916667,1,0.833333,0.5]
recall
0.8796296296296297 [0.916667,0.916667,1,0.75,1,0.916667,0.75,1,0.666667]
recall
0.8518518518518519 [0.916667,0.75,0.916667,0.75,1,0.833333,0.75,1,0.75]
recall
0.8518518518518519 [0.916667,0.833333,0.833333,0.833333,0.916667,0.916667,1,0.916667,0.5]
recall
0.8518518518518519 [0.916667,0.75,1,0.75,1,0.833333,0.583333,1,0.833333]
recall
0.8611111111111112 [0.916667,0.916667,0.75,0.75,1,0.833333,0.916667,1,0.666667]
relative_absolute_error
0.19791666666666619
relative_absolute_error
0.19791666666666619
relative_absolute_error
0.13541666666666632
relative_absolute_error
0.2291666666666661
relative_absolute_error
0.19791666666666619
relative_absolute_error
0.13541666666666632
relative_absolute_error
0.16666666666666624
relative_absolute_error
0.16666666666666624
relative_absolute_error
0.16666666666666624
relative_absolute_error
0.1562499999999996
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_squared_error
0.1977236713339132
root_mean_squared_error
0.1977236713339132
root_mean_squared_error
0.1635511271542194
root_mean_squared_error
0.21276157950140848
root_mean_squared_error
0.1977236713339132
root_mean_squared_error
0.1635511271542194
root_mean_squared_error
0.1814436846506058
root_mean_squared_error
0.1814436846506058
root_mean_squared_error
0.1814436846506058
root_mean_squared_error
0.17568209223157666
root_relative_squared_error
0.629152869605895
root_relative_squared_error
0.629152869605895
root_relative_squared_error
0.5204164998665326
root_relative_squared_error
0.6770032003863292
root_relative_squared_error
0.629152869605895
root_relative_squared_error
0.5204164998665326
root_relative_squared_error
0.5773502691896251
root_relative_squared_error
0.5773502691896251
root_relative_squared_error
0.5773502691896251
root_relative_squared_error
0.5590169943749468
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
893.161672000133
usercpu_time_millis
907.9981710019638
usercpu_time_millis
908.707257003698
usercpu_time_millis
887.999619000766
usercpu_time_millis
894.3352130008861
usercpu_time_millis
858.8550990025396
usercpu_time_millis
902.802160999272
usercpu_time_millis
892.1723550010938
usercpu_time_millis
951.0543039941695
usercpu_time_millis
896.7572739929892
usercpu_time_millis_testing
58.43887299852213
usercpu_time_millis_testing
62.32957800239092
usercpu_time_millis_testing
64.07852700067451
usercpu_time_millis_testing
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usercpu_time_millis_testing
61.45825400017202
usercpu_time_millis_testing
63.172594003845006
usercpu_time_millis_testing
60.40401400241535
usercpu_time_millis_testing
59.58188400109066
usercpu_time_millis_testing
59.84151599841425
usercpu_time_millis_testing
66.1702189972857
usercpu_time_millis_training
834.7227990016108
usercpu_time_millis_training
845.6685929995729
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
832.5904710000032
usercpu_time_millis_training
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usercpu_time_millis_training
830.5870549957035
wall_clock_time_millis
973.3152389526367
wall_clock_time_millis
1104.1340827941895
wall_clock_time_millis
1072.7620124816895
wall_clock_time_millis
888.0908489227295
wall_clock_time_millis
1014.4214630126953
wall_clock_time_millis
858.9298725128174
wall_clock_time_millis
1058.8626861572266
wall_clock_time_millis
968.2965278625488
wall_clock_time_millis
1063.1091594696045
wall_clock_time_millis
1052.8404712677002
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
94.35844421386719
wall_clock_time_millis_testing
64.09454345703125
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
61.47408485412598
wall_clock_time_millis_testing
63.187599182128906
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_training
914.860725402832
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
795.7422733306885
wall_clock_time_millis_training
998.441219329834
wall_clock_time_millis_training
908.6987972259521
wall_clock_time_millis_training
1003.2515525817871
wall_clock_time_millis_training
942.6579475402832