10326879
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)
8182549
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
0.42681252219264904
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.23495235580748663
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.0419665675168468
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
38634
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
21575444
description
https://api.openml.org/data/download/21575444/description.xml
-1
21575445
predictions
https://api.openml.org/data/download/21575445/predictions.arff
area_under_roc_curve
0.7578979771269958 [0.757898,0.757898]
average_cost
0
f_measure
0.7971071070813364 [0.855263,0.657107]
kappa
0.5123963091606234
kb_relative_information_score
0.47091344521933115
mean_absolute_error
0.20355292376017764
mean_prior_absolute_error
0.4147357447231523
number_of_instances
5404 [3818,1586]
precision
0.7978428332971985 [0.859334,0.649815]
predictive_accuracy
0.7964470762398225
prior_entropy
0.8731822780289229
recall
0.7964470762398224 [0.851231,0.664565]
relative_absolute_error
0.4908014955307383
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.45116839845026563
root_relative_squared_error
0.9907964757151795
total_cost
0
area_under_roc_curve
0.7424758800092199 [0.742476,0.742476]
area_under_roc_curve
0.7851921367183641 [0.785192,0.785192]
area_under_roc_curve
0.7367134248740492 [0.736713,0.736713]
area_under_roc_curve
0.7519098422733709 [0.75191,0.75191]
area_under_roc_curve
0.7513420372456756 [0.751342,0.751342]
area_under_roc_curve
0.7751342037245674 [0.775134,0.775134]
area_under_roc_curve
0.796192590628935 [0.796193,0.796193]
area_under_roc_curve
0.7392305653124793 [0.739231,0.739231]
area_under_roc_curve
0.7472639033328381 [0.747264,0.747264]
area_under_roc_curve
0.7538255831228643 [0.753826,0.753826]
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
0.7884856938083522 [0.851563,0.636943]
f_measure
0.8150660518383945 [0.86587,0.693009]
f_measure
0.7831269329060613 [0.847458,0.628571]
f_measure
0.7946348801391027 [0.854902,0.649842]
f_measure
0.7929726289454909 [0.853018,0.647799]
f_measure
0.8029763529241786 [0.855228,0.676647]
f_measure
0.8195278640355271 [0.867114,0.704478]
f_measure
0.7835330954654892 [0.846658,0.630915]
f_measure
0.7905478080831885 [0.8519,0.643533]
f_measure
0.798858173076923 [0.859375,0.653846]
kappa
0.48853910966629077
kappa
0.5590943201349159
kappa
0.4760485733442599
kappa
0.5047462743189858
kappa
0.5008253549026083
kappa
0.5324825242095813
kappa
0.5722104858843864
kappa
0.4775749156578685
kappa
0.495435602302044
kappa
0.5132942767012169
kb_relative_information_score
0.4526107623932176
kb_relative_information_score
0.5150323421203065
kb_relative_information_score
0.4382057824561971
kb_relative_information_score
0.4670157423302382
kb_relative_information_score
0.46019469220958603
kb_relative_information_score
0.4794734532021008
kb_relative_information_score
0.5228506654352585
kb_relative_information_score
0.4360962409689425
kb_relative_information_score
0.45683628871296067
kb_relative_information_score
0.4808700812477856
mean_absolute_error
0.21072088724584104
mean_absolute_error
0.1866913123844732
mean_absolute_error
0.21626617375231053
mean_absolute_error
0.20517560073937152
mean_absolute_error
0.2074074074074074
mean_absolute_error
0.2
mean_absolute_error
0.18333333333333332
mean_absolute_error
0.21666666666666667
mean_absolute_error
0.20925925925925926
mean_absolute_error
0.2
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
0.7877856638170441 [0.84715,0.645161]
precision
0.8175402913231697 [0.878706,0.670588]
precision
0.7825718643648403 [0.844156,0.634615]
precision
0.7944512252003585 [0.853786,0.651899]
precision
0.7933759746588693 [0.855263,0.64375]
precision
0.807810939060939 [0.876374,0.642045]
precision
0.8245179063360881 [0.889807,0.666667]
precision
0.7837385892801135 [0.847769,0.628931]
precision
0.7903607116295167 [0.850785,0.64557]
precision
0.7979328165374676 [0.852713,0.666667]
predictive_accuracy
0.789279112754159
predictive_accuracy
0.8133086876155268
predictive_accuracy
0.7837338262476895
predictive_accuracy
0.7948243992606285
predictive_accuracy
0.7925925925925925
predictive_accuracy
0.8
predictive_accuracy
0.8166666666666668
predictive_accuracy
0.7833333333333333
predictive_accuracy
0.7907407407407407
predictive_accuracy
0.8
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8743961361606727
prior_entropy
0.8743961361606727
recall
0.789279112754159 [0.856021,0.628931]
recall
0.8133086876155268 [0.853403,0.716981]
recall
0.7837338262476895 [0.850785,0.622642]
recall
0.7948243992606284 [0.856021,0.647799]
recall
0.7925925925925926 [0.850785,0.651899]
recall
0.8 [0.835079,0.71519]
recall
0.8166666666666667 [0.84555,0.746835]
recall
0.7833333333333333 [0.84555,0.632911]
recall
0.7907407407407407 [0.853018,0.641509]
recall
0.8 [0.866142,0.641509]
relative_absolute_error
0.5078754465554968
relative_absolute_error
0.4499598254570628
relative_absolute_error
0.5212405898859045
relative_absolute_error
0.49451030322508877
relative_absolute_error
0.5005406585121476
relative_absolute_error
0.4826642064224281
relative_absolute_error
0.442442189220559
relative_absolute_error
0.5228862236242972
relative_absolute_error
0.5040796522393529
relative_absolute_error
0.48177524284823114
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.45579347410776366
root_mean_prior_squared_error
0.45579347410776366
root_mean_squared_error
0.4590434481025092
root_mean_squared_error
0.4320779008286274
root_mean_squared_error
0.4650442707445287
root_mean_squared_error
0.45296313397380533
root_mean_squared_error
0.4554200340426488
root_mean_squared_error
0.4472135954999579
root_mean_squared_error
0.4281744192888376
root_mean_squared_error
0.4654746681256314
root_mean_squared_error
0.45744864111642003
root_mean_squared_error
0.4472135954999579
root_relative_squared_error
1.0076754905129202
root_relative_squared_error
0.9484817013662112
root_relative_squared_error
1.020848278239819
root_relative_squared_error
0.9943282059640595
root_relative_squared_error
1.0010244355486297
root_relative_squared_error
0.982986481800437
root_relative_squared_error
0.9411379042337705
root_relative_squared_error
1.023124768549402
root_relative_squared_error
1.0036313968994321
root_relative_squared_error
0.9811759511813959
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
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usercpu_time_millis
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usercpu_time_millis
920.8167050019256
usercpu_time_millis_testing
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usercpu_time_millis_testing
69.38551900384482
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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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
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wall_clock_time_millis
901.5848636627197
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903.3112525939941
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933.1827163696289
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906.5568447113037
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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
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