10326874
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)
8182544
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
4297.397059178814
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.013499300518863278
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.1820082271280914
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
37385
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
21575434
description
https://api.openml.org/data/download/21575434/description.xml
-1
21575435
predictions
https://api.openml.org/data/download/21575435/predictions.arff
area_under_roc_curve
0.851443880682002 [0.851444,0.851444]
average_cost
0
f_measure
0.8810164003107497 [0.917024,0.794335]
kappa
0.7114100937218778
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0.6926488104501327
mean_absolute_error
0.11824574389341229
mean_prior_absolute_error
0.4147357447231523
number_of_instances
5404 [3818,1586]
precision
0.8805750173963416 [0.909348,0.811308]
predictive_accuracy
0.8817542561065878
prior_entropy
0.8731822780289229
recall
0.8817542561065878 [0.92483,0.778058]
relative_absolute_error
0.28511105058558345
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.343868788774748
root_relative_squared_error
0.755159238095496
total_cost
0
area_under_roc_curve
0.8608861009582139 [0.860886,0.860886]
area_under_roc_curve
0.8574862524284632 [0.857486,0.857486]
area_under_roc_curve
0.8257680529487306 [0.825768,0.825768]
area_under_roc_curve
0.817659455365669 [0.817659,0.817659]
area_under_roc_curve
0.8441911326131619 [0.844191,0.844191]
area_under_roc_curve
0.8671051759559945 [0.867105,0.867105]
area_under_roc_curve
0.8860925177281463 [0.886093,0.886093]
area_under_roc_curve
0.8455000331367221 [0.8455,0.8455]
area_under_roc_curve
0.8513593819640469 [0.851359,0.851359]
area_under_roc_curve
0.8587134155400387 [0.858713,0.858713]
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
0.8884599688666232 [0.922078,0.807692]
f_measure
0.8817005545286506 [0.91623,0.798742]
f_measure
0.8679184174755389 [0.910714,0.765101]
f_measure
0.8529936370388379 [0.897536,0.745981]
f_measure
0.8735947886989555 [0.911458,0.782051]
f_measure
0.8906387246256526 [0.922876,0.812698]
f_measure
0.9022929644086355 [0.930171,0.834891]
f_measure
0.875331907658519 [0.912874,0.784566]
f_measure
0.8823152380592599 [0.918288,0.796117]
f_measure
0.8943817663817664 [0.928205,0.813333]
kappa
0.7298107176746742
kappa
0.7149725048569263
kappa
0.6763690435496001
kappa
0.643589209023058
kappa
0.6935300794551646
kappa
0.735575327003519
kappa
0.7650863484142099
kappa
0.6974714027694159
kappa
0.7145015105740181
kappa
0.7418958365340297
kb_relative_information_score
0.7119004012595882
kb_relative_information_score
0.6926937613435604
kb_relative_information_score
0.6638838014695199
kb_relative_information_score
0.6206688616584576
kb_relative_information_score
0.6722610631272486
kb_relative_information_score
0.7156382753604066
kb_relative_information_score
0.7445564168491786
kb_relative_information_score
0.6770807533753772
kb_relative_information_score
0.6971742140612084
kb_relative_information_score
0.7308215236099633
mean_absolute_error
0.11090573012939002
mean_absolute_error
0.11829944547134935
mean_absolute_error
0.12939001848428835
mean_absolute_error
0.14602587800369685
mean_absolute_error
0.1259259259259259
mean_absolute_error
0.10925925925925926
mean_absolute_error
0.09814814814814815
mean_absolute_error
0.12407407407407407
mean_absolute_error
0.11666666666666667
mean_absolute_error
0.1037037037037037
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
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mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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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
0.8880803803122712 [0.914948,0.823529]
precision
0.8817005545286506 [0.91623,0.798742]
precision
0.8680992304399093 [0.88806,0.820144]
precision
0.8523398968271098 [0.88946,0.763158]
precision
0.8732257188215736 [0.906736,0.792208]
precision
0.8905437326035686 [0.921671,0.815287]
precision
0.9029097558608876 [0.93634,0.822086]
precision
0.8749111933030461 [0.906977,0.797386]
precision
0.8818717948717949 [0.907692,0.82]
precision
0.8948956315137726 [0.907268,0.865248]
predictive_accuracy
0.8890942698706099
predictive_accuracy
0.8817005545286507
predictive_accuracy
0.8706099815157117
predictive_accuracy
0.8539741219963031
predictive_accuracy
0.874074074074074
predictive_accuracy
0.8907407407407407
predictive_accuracy
0.9018518518518519
predictive_accuracy
0.875925925925926
predictive_accuracy
0.8833333333333333
predictive_accuracy
0.8962962962962964
prior_entropy
0.8737066175945942
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0.8737066175945942
prior_entropy
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0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8743961361606727
prior_entropy
0.8743961361606727
recall
0.88909426987061 [0.929319,0.792453]
recall
0.8817005545286506 [0.91623,0.798742]
recall
0.8706099815157117 [0.934555,0.716981]
recall
0.8539741219963032 [0.905759,0.72956]
recall
0.8740740740740741 [0.91623,0.772152]
recall
0.8907407407407407 [0.924084,0.810127]
recall
0.9018518518518519 [0.924084,0.848101]
recall
0.8759259259259259 [0.918848,0.772152]
recall
0.8833333333333333 [0.929134,0.773585]
recall
0.8962962962962963 [0.950131,0.767296]
relative_absolute_error
0.26730286660815616
relative_absolute_error
0.28512305771536656
relative_absolute_error
0.3118533443761822
relative_absolute_error
0.35194877436740557
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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relative_absolute_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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