10560385
6691
Sergey Redyuk
9952
Supervised Classification
18907
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(DecisionTreeClassifier=sklearn.tree.tree.DecisionTreeClassifier,ExtraTreeClassifier=sklearn.tree.tree.ExtraTreeClassifier))(2)
8276794
Python_3.6.14. Sklearn_0.18.1. NumPy_1.16.6. SciPy_0.19.0.
copy
true
18877
with_mean
true
18877
with_std
true
18877
class_weight
null
18895
criterion
"gini"
18895
max_depth
null
18895
max_features
null
18895
max_leaf_nodes
null
18895
min_impurity_split
1e-07
18895
min_samples_leaf
1
18895
min_samples_split
2
18895
min_weight_fraction_leaf
0.0
18895
presort
false
18895
random_state
59023
18895
splitter
"best"
18895
class_weight
null
18896
criterion
"gini"
18896
max_depth
1000
18896
max_features
"auto"
18896
max_leaf_nodes
null
18896
min_impurity_split
1e-07
18896
min_samples_leaf
1
18896
min_samples_split
2
18896
min_weight_fraction_leaf
0.0
18896
random_state
57727
18896
splitter
"random"
18896
estimators
[{"oml-python:serialized_object": "component_reference", "value": {"key": "DecisionTreeClassifier", "step_name": "DecisionTreeClassifier"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "ExtraTreeClassifier", "step_name": "ExtraTreeClassifier"}}]
18898
n_jobs
1
18898
voting
"hard"
18898
weights
null
18898
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "votingclassifier", "step_name": "votingclassifier"}}]
18907
openml-python
Sklearn_0.18.1.
1489
phoneme
https://www.openml.org/data/download/1592281/php8Mz7BG
-1
22046855
description
https://api.openml.org/data/download/22046855/description.xml
-1
22046856
predictions
https://api.openml.org/data/download/22046856/predictions.arff
area_under_roc_curve
0.8025698935882793 [0.80257,0.80257]
average_cost
0
f_measure
0.8628244390006443 [0.912807,0.742502]
kappa
0.6582782123186036
kb_relative_information_score
0.6613846049403728
mean_absolute_error
0.13027387120651368
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.8697261287934863 [0.965165,0.639975]
number_of_instances
5404 [3818,1586]
precision
0.8712101638379949 [0.865836,0.884146]
predictive_accuracy
0.8697261287934863
prior_entropy
0.8731822780289229
relative_absolute_error
0.3141129571396725
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.3609347187602125
root_relative_squared_error
0.7926371805721435
total_cost
0
unweighted_recall
0.8025698935882792 [0.965165,0.639975]
area_under_roc_curve
0.8016480621686588 [0.801648,0.801648]
area_under_roc_curve
0.8181533800915407 [0.818153,0.818153]
area_under_roc_curve
0.7901066877407883 [0.790107,0.790107]
area_under_roc_curve
0.7953587539925583 [0.795359,0.795359]
area_under_roc_curve
0.7878752733779575 [0.787875,0.787875]
area_under_roc_curve
0.8124295844655046 [0.81243,0.81243]
area_under_roc_curve
0.8145006295977202 [0.814501,0.814501]
area_under_roc_curve
0.8020577904433693 [0.802058,0.802058]
area_under_roc_curve
0.7913881047887882 [0.791388,0.791388]
area_under_roc_curve
0.8123607190610608 [0.812361,0.812361]
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
0.858910493040837 [0.909091,0.738351]
f_measure
0.872615563020097 [0.917706,0.764286]
f_measure
0.8576948091566046 [0.91198,0.727273]
f_measure
0.854638440613592 [0.906832,0.729242]
f_measure
0.849976523086808 [0.904585,0.717949]
f_measure
0.8639312467051627 [0.910692,0.750877]
f_measure
0.8688121693121693 [0.915,0.757143]
f_measure
0.8647620415486972 [0.91492,0.743494]
f_measure
0.8591960861271285 [0.913097,0.730038]
f_measure
0.8772417805506042 [0.92402,0.765152]
kappa
0.6498195586057687
kappa
0.6840232916231571
kappa
0.644059433082954
kappa
0.6387971477660171
kappa
0.6256751890529348
kappa
0.6629983826735109
kappa
0.6740288331794618
kappa
0.6618383794380309
kappa
0.6480889965855269
kappa
0.6933223413025557
kb_relative_information_score
0.6494788215325
kb_relative_information_score
0.6830904413855481
kb_relative_information_score
0.6542804815115076
kb_relative_information_score
0.6398755015744862
kb_relative_information_score
0.6288838508940914
kb_relative_information_score
0.6578019923828634
kb_relative_information_score
0.6722610631272495
kb_relative_information_score
0.6674413728791214
kb_relative_information_score
0.6587201460054902
kb_relative_information_score
0.7019809725681746
mean_absolute_error
0.13493530499075784
mean_absolute_error
0.12199630314232902
mean_absolute_error
0.133086876155268
mean_absolute_error
0.13863216266173753
mean_absolute_error
0.1425925925925926
mean_absolute_error
0.13148148148148148
mean_absolute_error
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mean_absolute_error
0.12777777777777777
mean_absolute_error
0.13148148148148148
mean_absolute_error
0.11481481481481481
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
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mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
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mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.415131335553089
mean_prior_absolute_error
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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
0.8644411246877209 [0.866983,0.858333]
precision
0.8785731380589388 [0.87619,0.884298]
precision
0.8727803712846702 [0.855505,0.914286]
precision
0.8608409792014168 [0.862884,0.855932]
precision
0.8568779009188217 [0.858824,0.852174]
precision
0.8665670322283162 [0.876513,0.84252]
precision
0.8736243656002068 [0.875598,0.868852]
precision
0.8753641753641754 [0.864802,0.900901]
precision
0.8754008860660237 [0.855505,0.923077]
precision
0.8947089947089947 [0.866667,0.961905]
predictive_accuracy
0.8650646950092421
predictive_accuracy
0.878003696857671
predictive_accuracy
0.866913123844732
predictive_accuracy
0.8613678373382625
predictive_accuracy
0.8574074074074075
predictive_accuracy
0.8685185185185185
predictive_accuracy
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predictive_accuracy
0.8722222222222222
predictive_accuracy
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predictive_accuracy
0.8851851851851852
prior_entropy
0.8737066175945942
prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
0.8720500383981036
prior_entropy
0.8743961361606727
prior_entropy
0.8743961361606727
relative_absolute_error
0.32521848770659
relative_absolute_error
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relative_absolute_error
0.32076343992978734
relative_absolute_error
0.3341285832601952
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.30389968552523244
relative_absolute_error
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relative_absolute_error
0.3167226133539297
relative_absolute_error
0.27657467644991046
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
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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
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root_mean_prior_squared_error
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root_mean_squared_error
0.3673354121109995
root_mean_squared_error
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root_mean_squared_error
0.36481074018628895
root_mean_squared_error
0.3723334025597724
root_mean_squared_error
0.3776143437325873
root_mean_squared_error
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root_mean_squared_error
0.35486043161491804
root_mean_squared_error
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root_mean_squared_error
0.3626037527129049
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
0.8300056146730266
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
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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
unweighted_recall
0.8016480621686588 [0.955497,0.647799]
unweighted_recall
0.8181533800915407 [0.963351,0.672956]
unweighted_recall
0.7901066877407883 [0.97644,0.603774]
unweighted_recall
0.7953587539925582 [0.955497,0.63522]
unweighted_recall
0.7878752733779575 [0.955497,0.620253]
unweighted_recall
0.8124295844655046 [0.947644,0.677215]
unweighted_recall
0.8145006295977202 [0.958115,0.670886]
unweighted_recall
0.8020577904433694 [0.971204,0.632911]
unweighted_recall
0.7913881047887882 [0.979003,0.603774]
unweighted_recall
0.8123607190610607 [0.989501,0.63522]
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
46.875
usercpu_time_millis
46.875
usercpu_time_millis
46.875
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
31.25
usercpu_time_millis_training
31.25
usercpu_time_millis_training
31.25
usercpu_time_millis_training
31.25
usercpu_time_millis_training
31.25
usercpu_time_millis_training
31.25
usercpu_time_millis_training
31.25
usercpu_time_millis_training
31.25
usercpu_time_millis_training
31.25
usercpu_time_millis_training
31.25
wall_clock_time_millis
36.600589752197266
wall_clock_time_millis
35.863399505615234
wall_clock_time_millis
35.620689392089844
wall_clock_time_millis
35.26663780212402
wall_clock_time_millis
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wall_clock_time_millis
36.29803657531738
wall_clock_time_millis
35.604000091552734
wall_clock_time_millis
33.49041938781738
wall_clock_time_millis
38.09833526611328
wall_clock_time_millis
36.2401008605957
wall_clock_time_millis_testing
3.8166046142578125
wall_clock_time_millis_testing
4.384040832519531
wall_clock_time_millis_testing
4.210948944091797
wall_clock_time_millis_testing
3.997802734375
wall_clock_time_millis_testing
3.9746761322021484
wall_clock_time_millis_testing
3.9141178131103516
wall_clock_time_millis_testing
3.8323402404785156
wall_clock_time_millis_testing
3.8433074951171875
wall_clock_time_millis_testing
3.9119720458984375
wall_clock_time_millis_testing
4.016399383544922
wall_clock_time_millis_training
32.78398513793945
wall_clock_time_millis_training
31.479358673095703
wall_clock_time_millis_training
31.409740447998047
wall_clock_time_millis_training
31.268835067749023
wall_clock_time_millis_training
30.434131622314453
wall_clock_time_millis_training
32.38391876220703
wall_clock_time_millis_training
31.77165985107422
wall_clock_time_millis_training
29.647111892700195
wall_clock_time_millis_training
34.186363220214844
wall_clock_time_millis_training
32.22370147705078
weighted_recall
0.8650646950092421 [0.955497,0.647799]
weighted_recall
0.878003696857671 [0.963351,0.672956]
weighted_recall
0.866913123844732 [0.97644,0.603774]
weighted_recall
0.8613678373382625 [0.955497,0.63522]
weighted_recall
0.8574074074074074 [0.955497,0.620253]
weighted_recall
0.8685185185185185 [0.947644,0.677215]
weighted_recall
0.8740740740740741 [0.958115,0.670886]
weighted_recall
0.8722222222222222 [0.971204,0.632911]
weighted_recall
0.8685185185185185 [0.979003,0.603774]
weighted_recall
0.8851851851851852 [0.989501,0.63522]