10583992
28997
Marc Boel
9952
Supervised Classification
19039
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2)
8300274
Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1.
n_jobs
null
19031
remainder
"drop"
19031
sparse_threshold
0.3
19031
transformer_weights
null
19031
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}]
19031
verbose
false
19031
verbose_feature_names_out
true
19031
add_indicator
false
19032
copy
true
19032
fill_value
null
19032
missing_values
NaN
19032
strategy
"most_frequent"
19032
verbose
0
19032
categories
"auto"
19033
drop
null
19033
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
19033
handle_unknown
"ignore"
19033
sparse
true
19033
memory
null
19039
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
19039
verbose
false
19039
ccp_alpha
0.0
19040
criterion
"friedman_mse"
19040
init
null
19040
learning_rate
0.0600137897335993
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1220
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
36
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
6
19040
random_state
60856
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.3635586618440081
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1489
phoneme
https://www.openml.org/data/download/1592281/php8Mz7BG
-1
22094252
description
https://api.openml.org/data/download/22094252/description.xml
-1
22094253
predictions
https://api.openml.org/data/download/22094253/predictions.arff
area_under_roc_curve
0.9183155947436877 [0.918316,0.918316]
average_cost
0
f_measure
0.8503995599851136 [0.897818,0.736249]
kappa
0.634435650713081
kb_relative_information_score
0.45633822580559147
mean_absolute_error
0.22947590755613023
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.8527017024426351 [0.915925,0.700504]
number_of_instances
5404 [3818,1586]
precision
0.8497215886720318 [0.880413,0.775838]
predictive_accuracy
0.8527017024426351
prior_entropy
0.8731822780289229
relative_absolute_error
0.5533063172775519
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.32419222169275747
root_relative_squared_error
0.7119481590705129
total_cost
0
unweighted_recall
0.8082144907278657 [0.915925,0.700504]
area_under_roc_curve
0.915505943560868 [0.915506,0.915506]
area_under_roc_curve
0.9316161217030524 [0.931616,0.931616]
area_under_roc_curve
0.9114639928874839 [0.911464,0.911464]
area_under_roc_curve
0.9148638414172346 [0.914864,0.914864]
area_under_roc_curve
0.9114503943269932 [0.91145,0.91145]
area_under_roc_curve
0.9216233680164359 [0.921623,0.921623]
area_under_roc_curve
0.9345384054609318 [0.934538,0.934538]
area_under_roc_curve
0.9109699118563191 [0.91097,0.91097]
area_under_roc_curve
0.9114792254741744 [0.911479,0.911479]
area_under_roc_curve
0.9231334290760824 [0.923133,0.923133]
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
0.8636048926553651 [0.905806,0.762215]
f_measure
0.8740058535375163 [0.914213,0.777409]
f_measure
0.840374403795962 [0.893671,0.712329]
f_measure
0.8154058751012416 [0.871928,0.679612]
f_measure
0.857569683085147 [0.902062,0.75]
f_measure
0.8604014131022835 [0.905371,0.751678]
f_measure
0.878220029239766 [0.913158,0.79375]
f_measure
0.8255239680982255 [0.880309,0.693069]
f_measure
0.8419233104638032 [0.892031,0.721854]
f_measure
0.845737274628652 [0.899749,0.716312]
kappa
0.6681901817295816
kappa
0.6919998300548073
kappa
0.6071508843513893
kappa
0.5516912337091632
kappa
0.6522741137395784
kappa
0.6575248543023654
kappa
0.7069271758436945
kappa
0.5736842105263157
kappa
0.6143053925820111
kappa
0.6182599013838079
kb_relative_information_score
0.45778526067185643
kb_relative_information_score
0.45872344650481134
kb_relative_information_score
0.4541327078377951
kb_relative_information_score
0.4417791734978382
kb_relative_information_score
0.44576105379089603
kb_relative_information_score
0.44592973249567586
kb_relative_information_score
0.4935311754690751
kb_relative_information_score
0.43991571792168954
kb_relative_information_score
0.44913883275375616
kb_relative_information_score
0.47669831151454206
mean_absolute_error
0.2302674374034173
mean_absolute_error
0.23080627096346704
mean_absolute_error
0.22924541178046867
mean_absolute_error
0.2334314733175044
mean_absolute_error
0.23341312960296914
mean_absolute_error
0.23369583140765415
mean_absolute_error
0.21731523226282443
mean_absolute_error
0.23179485467081415
mean_absolute_error
0.23176530727090908
mean_absolute_error
0.22301329917154963
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
0.8629787771996856 [0.89313,0.790541]
precision
0.8739307133784319 [0.894737,0.823944]
precision
0.8407314769472337 [0.865196,0.781955]
precision
0.8143123230164845 [0.861893,0.7]
precision
0.8568703046972986 [0.888325,0.780822]
precision
0.8601296296296297 [0.885,0.8]
precision
0.8787706577830035 [0.917989,0.783951]
precision
0.8243668461128085 [0.865823,0.724138]
precision
0.8411313287887594 [0.874055,0.762238]
precision
0.8492003145451119 [0.860911,0.821138]
predictive_accuracy
0.8650646950092421
predictive_accuracy
0.8761552680221811
predictive_accuracy
0.844731977818854
predictive_accuracy
0.8170055452865064
predictive_accuracy
0.8592592592592593
predictive_accuracy
0.8629629629629629
predictive_accuracy
0.8777777777777778
predictive_accuracy
0.8277777777777777
predictive_accuracy
0.8444444444444444
predictive_accuracy
0.8518518518518519
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
relative_absolute_error
0.5549861673751024
relative_absolute_error
0.55628485370139
relative_absolute_error
0.5525229007932727
relative_absolute_error
0.5626120661352471
relative_absolute_error
0.5633008148419623
relative_absolute_error
0.5639830650530246
relative_absolute_error
0.5244514206182089
relative_absolute_error
0.5593953979124527
relative_absolute_error
0.5582939359711857
relative_absolute_error
0.5372114318337927
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
0.32466963630852
root_mean_squared_error
0.31641965667914157
root_mean_squared_error
0.3309601571549707
root_mean_squared_error
0.32937939834628543
root_mean_squared_error
0.3270931649584619
root_mean_squared_error
0.3215949503483411
root_mean_squared_error
0.30680413204863144
root_mean_squared_error
0.33176948261926825
root_mean_squared_error
0.3307703046168763
root_mean_squared_error
0.32159124394110605
root_relative_squared_error
0.712702983506652
root_relative_squared_error
0.6945929281205678
root_relative_squared_error
0.7265117062010524
root_relative_squared_error
0.7230416819266426
root_relative_squared_error
0.718958821196031
root_relative_squared_error
0.7068736102584158
root_relative_squared_error
0.6743630278662878
root_relative_squared_error
0.7292374824250986
root_relative_squared_error
0.725702151098969
root_relative_squared_error
0.7055635111288845
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
0.8273486120715203 [0.918848,0.735849]
unweighted_recall
0.8352020152128815 [0.934555,0.735849]
unweighted_recall
0.7890859099739866 [0.924084,0.654088]
unweighted_recall
0.7712881556850736 [0.882199,0.660377]
unweighted_recall
0.8188746769169594 [0.91623,0.721519]
unweighted_recall
0.8177811650871496 [0.926702,0.708861]
unweighted_recall
0.8560872158526078 [0.908377,0.803797]
unweighted_recall
0.7799224600702499 [0.895288,0.664557]
unweighted_recall
0.7981478730253058 [0.910761,0.685535]
unweighted_recall
0.7887386718169662 [0.942257,0.63522]
usercpu_time_millis
878.650916999959
usercpu_time_millis
877.0853409999972
usercpu_time_millis
881.5251199999921
usercpu_time_millis
880.2693240000394
usercpu_time_millis
876.7887249999831
usercpu_time_millis
876.2713999999505
usercpu_time_millis
877.883751000013
usercpu_time_millis
878.7466130000325
usercpu_time_millis
874.867877999975
usercpu_time_millis
874.2327259999456
usercpu_time_millis_testing
7.468790999951125
usercpu_time_millis_testing
7.362489000001915
usercpu_time_millis_testing
6.89329300001873
usercpu_time_millis_testing
6.905531000029441
usercpu_time_millis_testing
7.015088999992258
usercpu_time_millis_testing
6.8194099999914215
usercpu_time_millis_testing
6.604115000016009
usercpu_time_millis_testing
7.318469000040295
usercpu_time_millis_testing
6.7811679999749686
usercpu_time_millis_testing
4.754087999970125
usercpu_time_millis_training
871.1821260000079
usercpu_time_millis_training
869.7228519999953
usercpu_time_millis_training
874.6318269999733
usercpu_time_millis_training
873.36379300001
usercpu_time_millis_training
869.7736359999908
usercpu_time_millis_training
869.4519899999591
usercpu_time_millis_training
871.279635999997
usercpu_time_millis_training
871.4281439999922
usercpu_time_millis_training
868.08671
usercpu_time_millis_training
869.4786379999755
wall_clock_time_millis
895.1964378356934
wall_clock_time_millis
888.037919998169
wall_clock_time_millis
899.4166851043701
wall_clock_time_millis
892.1332359313965
wall_clock_time_millis
890.9957408905029
wall_clock_time_millis
891.3562297821045
wall_clock_time_millis
897.5117206573486
wall_clock_time_millis
903.6736488342285
wall_clock_time_millis
885.1370811462402
wall_clock_time_millis
894.0815925598145
wall_clock_time_millis_testing
7.474422454833984
wall_clock_time_millis_testing
7.368564605712891
wall_clock_time_millis_testing
6.897449493408203
wall_clock_time_millis_testing
6.995677947998047
wall_clock_time_millis_testing
7.020711898803711
wall_clock_time_millis_testing
6.824016571044922
wall_clock_time_millis_testing
6.6089630126953125
wall_clock_time_millis_testing
7.323980331420898
wall_clock_time_millis_testing
6.785869598388672
wall_clock_time_millis_testing
4.7588348388671875
wall_clock_time_millis_training
887.7220153808594
wall_clock_time_millis_training
880.669355392456
wall_clock_time_millis_training
892.5192356109619
wall_clock_time_millis_training
885.1375579833984
wall_clock_time_millis_training
883.9750289916992
wall_clock_time_millis_training
884.5322132110596
wall_clock_time_millis_training
890.9027576446533
wall_clock_time_millis_training
896.3496685028076
wall_clock_time_millis_training
878.3512115478516
wall_clock_time_millis_training
889.3227577209473
weighted_recall
0.8650646950092421 [0.918848,0.735849]
weighted_recall
0.8761552680221811 [0.934555,0.735849]
weighted_recall
0.844731977818854 [0.924084,0.654088]
weighted_recall
0.8170055452865065 [0.882199,0.660377]
weighted_recall
0.8592592592592593 [0.91623,0.721519]
weighted_recall
0.8629629629629629 [0.926702,0.708861]
weighted_recall
0.8777777777777778 [0.908377,0.803797]
weighted_recall
0.8277777777777777 [0.895288,0.664557]
weighted_recall
0.8444444444444444 [0.910761,0.685535]
weighted_recall
0.8518518518518519 [0.942257,0.63522]