10330401
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)
8186011
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
166.75510985968455
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.7160996053142499
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
56722
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
21582499
description
https://api.openml.org/data/download/21582499/description.xml
-1
21582500
predictions
https://api.openml.org/data/download/21582500/predictions.arff
area_under_roc_curve
0.8645247143516773 [0.864525,0.864525]
average_cost
0
f_measure
0.8897506819073578 [0.922535,0.810828]
kappa
0.7333745761371617
kb_relative_information_score
0.7142932604184375
mean_absolute_error
0.10991857883049592
mean_prior_absolute_error
0.4147357447231523
number_of_instances
5404 [3818,1586]
precision
0.8894920800620283 [0.918701,0.819176]
predictive_accuracy
0.8900814211695041
prior_entropy
0.8731822780289229
recall
0.8900814211695041 [0.926401,0.802648]
relative_absolute_error
0.26503280758659864
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0.4553593089081206
root_mean_squared_error
0.33153970928155185
root_relative_squared_error
0.7280837413350162
total_cost
0
area_under_roc_curve
0.850925285653133 [0.850925,0.850925]
area_under_roc_curve
0.8682291152161744 [0.868229,0.868229]
area_under_roc_curve
0.830748460601271 [0.830748,0.830748]
area_under_roc_curve
0.8354901379696402 [0.83549,0.83549]
area_under_roc_curve
0.8531380475843329 [0.853138,0.853138]
area_under_roc_curve
0.8950394326993174 [0.895039,0.895039]
area_under_roc_curve
0.9255914904897607 [0.925591,0.925591]
area_under_roc_curve
0.8633938630790642 [0.863394,0.863394]
area_under_roc_curve
0.8550240182241372 [0.855024,0.855024]
area_under_roc_curve
0.8681473778041896 [0.868147,0.868147]
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
0.8840364051179098 [0.920103,0.797386]
f_measure
0.8892953046996668 [0.92126,0.8125]
f_measure
0.8702448342401287 [0.911652,0.770764]
f_measure
0.8570642939203947 [0.896552,0.762195]
f_measure
0.8810303893637227 [0.916667,0.794872]
f_measure
0.9096670803023236 [0.935441,0.847352]
f_measure
0.9320218109092282 [0.950993,0.886154]
f_measure
0.8902176500276509 [0.923277,0.810289]
f_measure
0.882781760395883 [0.917862,0.798722]
f_measure
0.9003698181916004 [0.931789,0.825083]
kappa
0.7176599326599327
kappa
0.7337642099046933
kappa
0.6828057951310703
kappa
0.6588847751927958
kappa
0.7115577218401551
kappa
0.7828156806093636
kappa
0.8372009647350237
kappa
0.7335942203491872
kappa
0.7166133546581367
kappa
0.7571035747021082
kb_relative_information_score
0.7022970813015745
kb_relative_information_score
0.7119004012595879
kb_relative_information_score
0.6686854614485267
kb_relative_information_score
0.6254705216374643
kb_relative_information_score
0.6915398241197631
kb_relative_information_score
0.7638351778416934
kb_relative_information_score
0.8216714608192379
kb_relative_information_score
0.7156382753604066
kb_relative_information_score
0.697174214061208
kb_relative_information_score
0.7452417991308582
mean_absolute_error
0.11460258780036968
mean_absolute_error
0.11090573012939002
mean_absolute_error
0.12754158964879853
mean_absolute_error
0.14417744916820702
mean_absolute_error
0.11851851851851852
mean_absolute_error
0.09074074074074075
mean_absolute_error
0.06851851851851852
mean_absolute_error
0.10925925925925926
mean_absolute_error
0.11666666666666667
mean_absolute_error
0.09814814814814815
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
0.8837081094764674 [0.906091,0.829932]
precision
0.8895239585744076 [0.923684,0.807453]
precision
0.870091320044664 [0.892231,0.816901]
precision
0.8589456040688249 [0.908602,0.739645]
precision
0.8806909459759201 [0.911917,0.805195]
precision
0.9102526734640126 [0.941645,0.834356]
precision
0.9331513321287126 [0.962466,0.862275]
precision
0.8898723773172778 [0.917313,0.823529]
precision
0.8824052890115065 [0.911917,0.811688]
precision
0.9005716891133558 [0.914141,0.868056]
predictive_accuracy
0.8853974121996303
predictive_accuracy
0.8890942698706099
predictive_accuracy
0.8724584103512015
predictive_accuracy
0.8558225508317929
predictive_accuracy
0.8814814814814815
predictive_accuracy
0.9092592592592592
predictive_accuracy
0.9314814814814816
predictive_accuracy
0.8907407407407407
predictive_accuracy
0.8833333333333333
predictive_accuracy
0.9018518518518519
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
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prior_entropy
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prior_entropy
0.8743961361606727
prior_entropy
0.8743961361606727
recall
0.8853974121996303 [0.934555,0.767296]
recall
0.88909426987061 [0.918848,0.81761]
recall
0.8724584103512015 [0.931937,0.72956]
recall
0.8558225508317929 [0.884817,0.786164]
recall
0.8814814814814815 [0.921466,0.78481]
recall
0.9092592592592592 [0.929319,0.860759]
recall
0.9314814814814815 [0.939791,0.911392]
recall
0.8907407407407407 [0.929319,0.797468]
recall
0.8833333333333333 [0.923885,0.786164]
recall
0.9018518518518519 [0.950131,0.786164]
relative_absolute_error
0.27621296216176133
relative_absolute_error
0.26730286660815616
relative_absolute_error
0.30739829659937956
relative_absolute_error
0.347493726590603
relative_absolute_error
0.28602323343551295
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_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_squared_error
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total_cost
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