10583995
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)
8300277
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
0.31159995715048144
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1572
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
142
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
5
19040
random_state
7513
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.12154461084347996
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
22094258
description
https://api.openml.org/data/download/22094258/description.xml
-1
22094259
predictions
https://api.openml.org/data/download/22094259/predictions.arff
area_under_roc_curve
0.9281473996209632 [0.928147,0.928147]
average_cost
0
f_measure
0.8652292454157157 [0.90595,0.767203]
kappa
0.6732046408413013
kb_relative_information_score
0.5326215509554868
mean_absolute_error
0.19611583010366102
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.8660251665433013 [0.913305,0.752207]
number_of_instances
5404 [3818,1586]
precision
0.8646954140714517 [0.898711,0.782808]
predictive_accuracy
0.8660251665433013
prior_entropy
0.8731822780289229
relative_absolute_error
0.4728693694694047
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.31026551000160485
root_relative_squared_error
0.6813641533881722
total_cost
0
unweighted_recall
0.8327561025394412 [0.913305,0.752207]
area_under_roc_curve
0.9270884783825613 [0.927088,0.927088]
area_under_roc_curve
0.9411324047548486 [0.941132,0.941132]
area_under_roc_curve
0.9133244426882676 [0.913324,0.913324]
area_under_roc_curve
0.9276976522111363 [0.927698,0.927698]
area_under_roc_curve
0.9135380078202664 [0.913538,0.913538]
area_under_roc_curve
0.9361786732056466 [0.936179,0.936179]
area_under_roc_curve
0.9404615945390682 [0.940462,0.940462]
area_under_roc_curve
0.9299324010868845 [0.929932,0.929932]
area_under_roc_curve
0.9200795655260073 [0.92008,0.92008]
area_under_roc_curve
0.9328480166394296 [0.932848,0.932848]
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
0.8651877681683523 [0.904325,0.77116]
f_measure
0.878003696857671 [0.913613,0.792453]
f_measure
0.843214416442289 [0.891473,0.727273]
f_measure
0.851850783891563 [0.895561,0.746835]
f_measure
0.8624413877018043 [0.903646,0.762821]
f_measure
0.8897752706754397 [0.923674,0.807818]
f_measure
0.8888888888888888 [0.921466,0.810127]
f_measure
0.8587235873694206 [0.901042,0.75641]
f_measure
0.8477350051607477 [0.895753,0.732673]
f_measure
0.8659403398533833 [0.909091,0.762542]
kappa
0.6754862406428975
kappa
0.7060653956337055
kappa
0.618905455948208
kappa
0.642402710071883
kappa
0.666488615877679
kappa
0.7315832041517827
kappa
0.7315925508648683
kappa
0.657474794685184
kappa
0.6287809349220898
kappa
0.6721395587480758
kb_relative_information_score
0.5299556189294615
kb_relative_information_score
0.5431852732679296
kb_relative_information_score
0.4923824771123328
kb_relative_information_score
0.5228069213208425
kb_relative_information_score
0.5122100367266462
kb_relative_information_score
0.557144103849754
kb_relative_information_score
0.553795639699059
kb_relative_information_score
0.5406980311494519
kb_relative_information_score
0.5117904532221688
kb_relative_information_score
0.5623812292657285
mean_absolute_error
0.19796405932207334
mean_absolute_error
0.1943652661936161
mean_absolute_error
0.21108741032791348
mean_absolute_error
0.19848749402429347
mean_absolute_error
0.20408124350954346
mean_absolute_error
0.18740189693612047
mean_absolute_error
0.19086793266381197
mean_absolute_error
0.18984118808952538
mean_absolute_error
0.20273019818389781
mean_absolute_error
0.18429931380534614
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
0.865317489484332 [0.905512,0.76875]
precision
0.878003696857671 [0.913613,0.792453]
precision
0.8423581480874799 [0.880102,0.751678]
precision
0.8516020820333501 [0.893229,0.751592]
precision
0.8620278780900542 [0.898964,0.772727]
precision
0.8893935955214041 [0.913043,0.832215]
precision
0.8888888888888888 [0.921466,0.810127]
precision
0.8582952645128811 [0.896373,0.766234]
precision
0.8470012626262626 [0.878788,0.770833]
precision
0.8659424603174604 [0.8875,0.814286]
predictive_accuracy
0.8650646950092421
predictive_accuracy
0.878003696857671
predictive_accuracy
0.844731977818854
predictive_accuracy
0.8521256931608133
predictive_accuracy
0.8629629629629629
predictive_accuracy
0.8907407407407407
predictive_accuracy
0.8888888888888888
predictive_accuracy
0.8592592592592593
predictive_accuracy
0.85
predictive_accuracy
0.8685185185185185
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
0.47712918422196515
relative_absolute_error
0.4684554419505419
relative_absolute_error
0.5087588334679828
relative_absolute_error
0.47839075651604224
relative_absolute_error
0.4925135572211804
relative_absolute_error
0.4522609393336512
relative_absolute_error
0.46062559625334115
relative_absolute_error
0.4581477319776084
relative_absolute_error
0.48835195231358697
relative_absolute_error
0.44395423332666506
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
0.3090710046418983
root_mean_squared_error
0.2996655292939998
root_mean_squared_error
0.3277159677854984
root_mean_squared_error
0.3155682121820066
root_mean_squared_error
0.3195566215552363
root_mean_squared_error
0.2973722272142826
root_mean_squared_error
0.2939823192659797
root_mean_squared_error
0.31319040978042645
root_mean_squared_error
0.32199142491635485
root_mean_squared_error
0.30263689368890073
root_relative_squared_error
0.6784614343004356
root_relative_squared_error
0.6578148767166655
root_relative_squared_error
0.7193901796272328
root_relative_squared_error
0.6927238681114521
root_relative_squared_error
0.7023933134399644
root_relative_squared_error
0.653631469069583
root_relative_squared_error
0.6461803680269048
root_relative_squared_error
0.6884002233866064
root_relative_squared_error
0.7064414986341514
root_relative_squared_error
0.6639781192157832
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
0.8383631334584609 [0.903141,0.773585]
unweighted_recall
0.8530326978168528 [0.913613,0.792453]
unweighted_recall
0.8037719384899075 [0.903141,0.704403]
unweighted_recall
0.820022061971089 [0.897906,0.742138]
unweighted_recall
0.8307707601564054 [0.908377,0.753165]
unweighted_recall
0.8596825502021339 [0.934555,0.78481]
unweighted_recall
0.8657962754324342 [0.921466,0.810127]
unweighted_recall
0.8262973026708198 [0.905759,0.746835]
unweighted_recall
0.8057495171594117 [0.913386,0.698113]
unweighted_recall
0.8243698311295993 [0.931759,0.716981]
usercpu_time_millis
651.0363690000531
usercpu_time_millis
789.2210100000625
usercpu_time_millis
442.44847400000253
usercpu_time_millis
729.2151770000146
usercpu_time_millis
668.0999449999945
usercpu_time_millis
921.1790230000361
usercpu_time_millis
512.1254459999705
usercpu_time_millis
688.2664830000067
usercpu_time_millis
605.3897969999866
usercpu_time_millis
654.248234000022
usercpu_time_millis_testing
5.912858000044707
usercpu_time_millis_testing
6.426979000025312
usercpu_time_millis_testing
5.608257999995203
usercpu_time_millis_testing
5.947382999977435
usercpu_time_millis_testing
5.990346999965368
usercpu_time_millis_testing
6.717588000014985
usercpu_time_millis_testing
5.692479999993338
usercpu_time_millis_testing
5.942301000004591
usercpu_time_millis_testing
5.588461999991523
usercpu_time_millis_testing
4.683105000026444
usercpu_time_millis_training
645.1235110000084
usercpu_time_millis_training
782.7940310000372
usercpu_time_millis_training
436.84021600000733
usercpu_time_millis_training
723.2677940000372
usercpu_time_millis_training
662.1095980000291
usercpu_time_millis_training
914.4614350000211
usercpu_time_millis_training
506.4329659999771
usercpu_time_millis_training
682.3241820000021
usercpu_time_millis_training
599.8013349999951
usercpu_time_millis_training
649.5651289999955
wall_clock_time_millis
655.5228233337402
wall_clock_time_millis
802.1259307861328
wall_clock_time_millis
463.99736404418945
wall_clock_time_millis
747.5242614746094
wall_clock_time_millis
675.7752895355225
wall_clock_time_millis
950.1028060913086
wall_clock_time_millis
520.6470489501953
wall_clock_time_millis
713.824987411499
wall_clock_time_millis
618.086576461792
wall_clock_time_millis
656.8067073822021
wall_clock_time_millis_testing
5.917549133300781
wall_clock_time_millis_testing
6.797313690185547
wall_clock_time_millis_testing
5.613088607788086
wall_clock_time_millis_testing
5.9528350830078125
wall_clock_time_millis_testing
5.995512008666992
wall_clock_time_millis_testing
6.725072860717773
wall_clock_time_millis_testing
5.698680877685547
wall_clock_time_millis_testing
6.013631820678711
wall_clock_time_millis_testing
5.593061447143555
wall_clock_time_millis_testing
4.686832427978516
wall_clock_time_millis_training
649.6052742004395
wall_clock_time_millis_training
795.3286170959473
wall_clock_time_millis_training
458.38427543640137
wall_clock_time_millis_training
741.5714263916016
wall_clock_time_millis_training
669.7797775268555
wall_clock_time_millis_training
943.3777332305908
wall_clock_time_millis_training
514.9483680725098
wall_clock_time_millis_training
707.8113555908203
wall_clock_time_millis_training
612.4935150146484
wall_clock_time_millis_training
652.1198749542236
weighted_recall
0.8650646950092421 [0.903141,0.773585]
weighted_recall
0.878003696857671 [0.913613,0.792453]
weighted_recall
0.844731977818854 [0.903141,0.704403]
weighted_recall
0.8521256931608133 [0.897906,0.742138]
weighted_recall
0.8629629629629629 [0.908377,0.753165]
weighted_recall
0.8907407407407407 [0.934555,0.78481]
weighted_recall
0.8888888888888888 [0.921466,0.810127]
weighted_recall
0.8592592592592593 [0.905759,0.746835]
weighted_recall
0.85 [0.913386,0.698113]
weighted_recall
0.8685185185185185 [0.931759,0.716981]