10326774
8323
Heinrich Peters
9952
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8182444
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
140.1628286743181
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0016356557189051856
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
16291
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.
1489
phoneme
https://www.openml.org/data/download/1592281/php8Mz7BG
-1
21575234
description
https://api.openml.org/data/download/21575234/description.xml
-1
21575235
predictions
https://api.openml.org/data/download/21575235/predictions.arff
area_under_roc_curve
0.726934934210222 [0.726935,0.726935]
average_cost
0
f_measure
0.779881456306839 [0.848297,0.615183]
kappa
0.4637850301692977
kb_relative_information_score
0.4343583741617658
mean_absolute_error
0.21761658031088082
mean_prior_absolute_error
0.4147357447231523
number_of_instances
5404 [3818,1586]
precision
0.7781689799495061 [0.835791,0.639456]
predictive_accuracy
0.7823834196891191
prior_entropy
0.8731822780289229
recall
0.7823834196891192 [0.861184,0.592686]
relative_absolute_error
0.5247114170401348
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.46649392312320725
root_relative_squared_error
1.0244523698039374
total_cost
0
area_under_roc_curve
0.7162649412229576 [0.716265,0.716265]
area_under_roc_curve
0.7568902499259113 [0.75689,0.75689]
area_under_roc_curve
0.7015953768645659 [0.701595,0.701595]
area_under_roc_curve
0.7267526095689684 [0.726753,0.726753]
area_under_roc_curve
0.7217675127576381 [0.721768,0.721768]
area_under_roc_curve
0.756362250646166 [0.756362,0.756362]
area_under_roc_curve
0.7457750679302805 [0.745775,0.745775]
area_under_roc_curve
0.7059447279475114 [0.705945,0.705945]
area_under_roc_curve
0.7326053582924776 [0.732605,0.732605]
area_under_roc_curve
0.70561580745803 [0.705616,0.705616]
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
0.7740870132510128 [0.846547,0.6]
f_measure
0.7970413919493889 [0.855643,0.65625]
f_measure
0.761175274615889 [0.837388,0.578073]
f_measure
0.7781141326974522 [0.846054,0.614887]
f_measure
0.7767457226203102 [0.846847,0.607261]
f_measure
0.7953682839501612 [0.853755,0.654206]
f_measure
0.7918031813865146 [0.854167,0.641026]
f_measure
0.7660780435767991 [0.841432,0.583893]
f_measure
0.7871147428033121 [0.854942,0.624585]
f_measure
0.7693647039693844 [0.846641,0.584192]
kappa
0.4473106196046381
kappa
0.5119010514919374
kappa
0.4161787823426945
kappa
0.4611238061756607
kappa
0.45449915110356554
kappa
0.5080110315844769
kappa
0.4952260132202712
kappa
0.4261227288309907
kappa
0.48016765487630336
kappa
0.43263519849953097
kb_relative_information_score
0.42380080251917723
kb_relative_information_score
0.471817402309245
kb_relative_information_score
0.390189182666129
kb_relative_information_score
0.4286024624981837
kb_relative_information_score
0.42645686047268555
kb_relative_information_score
0.46501438245771454
kb_relative_information_score
0.46019469220958603
kb_relative_information_score
0.40235840923204236
kb_relative_information_score
0.4568362887129612
kb_relative_information_score
0.4183822206572419
mean_absolute_error
0.22181146025878004
mean_absolute_error
0.2033271719038817
mean_absolute_error
0.23475046210720887
mean_absolute_error
0.2199630314232902
mean_absolute_error
0.22037037037037038
mean_absolute_error
0.20555555555555555
mean_absolute_error
0.2074074074074074
mean_absolute_error
0.22962962962962963
mean_absolute_error
0.20925925925925926
mean_absolute_error
0.22407407407407406
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.415131335553089
mean_prior_absolute_error
0.415131335553089
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [381,159]
number_of_instances
540 [381,159]
precision
0.7718934597081842 [0.8275,0.638298]
precision
0.7974333487016585 [0.857895,0.652174]
precision
0.7587489133653952 [0.819549,0.612676]
precision
0.77666015855832 [0.836317,0.633333]
precision
0.7748526440014872 [0.832911,0.634483]
precision
0.7964374506155762 [0.859416,0.644172]
precision
0.7911082201237641 [0.849741,0.649351]
precision
0.7636679894179893 [0.8225,0.621429]
precision
0.7852405611783487 [0.836683,0.661972]
precision
0.767191523073876 [0.818627,0.643939]
predictive_accuracy
0.7781885397412199
predictive_accuracy
0.7966728280961184
predictive_accuracy
0.765249537892791
predictive_accuracy
0.7800369685767098
predictive_accuracy
0.7796296296296297
predictive_accuracy
0.7944444444444444
predictive_accuracy
0.7925925925925925
predictive_accuracy
0.7703703703703704
predictive_accuracy
0.7907407407407407
predictive_accuracy
0.7759259259259259
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
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prior_entropy
0.8720500383981036
prior_entropy
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0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8743961361606727
prior_entropy
0.8743961361606727
recall
0.7781885397412199 [0.866492,0.566038]
recall
0.7966728280961183 [0.853403,0.660377]
recall
0.7652495378927912 [0.856021,0.54717]
recall
0.7800369685767098 [0.856021,0.597484]
recall
0.7796296296296297 [0.861257,0.582278]
recall
0.7944444444444444 [0.848168,0.664557]
recall
0.7925925925925926 [0.858639,0.632911]
recall
0.7703703703703704 [0.861257,0.550633]
recall
0.7907407407407407 [0.874016,0.591195]
recall
0.7759259259259259 [0.87664,0.534591]
relative_absolute_error
0.5346057332163123
relative_absolute_error
0.49005525544828626
relative_absolute_error
0.5657910676539305
relative_absolute_error
0.5301506854395097
relative_absolute_error
0.5318244496691569
relative_absolute_error
0.4960715454897177
relative_absolute_error
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relative_absolute_error
0.5541700147813063
relative_absolute_error
0.5040796522393529
relative_absolute_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.454953963029931
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_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
1.0318323703978245
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
1.0036313968994321
root_relative_squared_error
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total_cost
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usercpu_time_millis
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