10583986
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)
8300268
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
0.599162179982778
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
915
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
163
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
12
19040
random_state
47308
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.08568486383922859
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
22094240
description
https://api.openml.org/data/download/22094240/description.xml
-1
22094241
predictions
https://api.openml.org/data/download/22094241/predictions.arff
area_under_roc_curve
0.9288980583774872 [0.928898,0.928898]
average_cost
0
f_measure
0.8606787274786616 [0.902908,0.759021]
kappa
0.6619935579467042
kb_relative_information_score
0.5441045879922761
mean_absolute_error
0.1896172512153077
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.8615840118430792 [0.910948,0.742749]
number_of_instances
5404 [3818,1586]
precision
0.8600867706335465 [0.895008,0.776021]
predictive_accuracy
0.8615840118430792
prior_entropy
0.8731822780289229
relative_absolute_error
0.45720016571487593
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.3103614443438133
root_relative_squared_error
0.6815748317257657
total_cost
0
unweighted_recall
0.8268485973060508 [0.910948,0.742749]
area_under_roc_curve
0.9355016628799104 [0.935502,0.935502]
area_under_roc_curve
0.9355428232737331 [0.935543,0.935543]
area_under_roc_curve
0.9189140241693834 [0.918914,0.918914]
area_under_roc_curve
0.9201241397477692 [0.920124,0.920124]
area_under_roc_curve
0.9197759957584996 [0.919776,0.919776]
area_under_roc_curve
0.9396745973888263 [0.939675,0.939675]
area_under_roc_curve
0.9439658029027769 [0.943966,0.943966]
area_under_roc_curve
0.9319371727748691 [0.931937,0.931937]
area_under_roc_curve
0.9178345631324385 [0.917835,0.917835]
area_under_roc_curve
0.9278050149391703 [0.927805,0.927805]
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
0.8607293120249999 [0.899204,0.768293]
f_measure
0.8753237174886348 [0.9131,0.784566]
f_measure
0.8480127457695097 [0.896021,0.732673]
f_measure
0.8342369022290518 [0.881579,0.720497]
f_measure
0.8581606840674199 [0.901554,0.753247]
f_measure
0.8856006335282651 [0.918421,0.80625]
f_measure
0.880796288538224 [0.916883,0.793548]
f_measure
0.8524109556501649 [0.897801,0.742671]
f_measure
0.8470586975792119 [0.896287,0.729097]
f_measure
0.8635824600110314 [0.908163,0.756757]
kappa
0.6676313194186216
kappa
0.6977275570195555
kappa
0.6290474134647129
kappa
0.6021018566945607
kappa
0.6548940464177598
kappa
0.7246891651865008
kappa
0.7104751692245829
kappa
0.6405944597964549
kappa
0.6259620318111851
kappa
0.6656174209195522
kb_relative_information_score
0.5520318177649685
kb_relative_information_score
0.5543285468981018
kb_relative_information_score
0.5323560677129435
kb_relative_information_score
0.4951638923820689
kb_relative_information_score
0.537154633270394
kb_relative_information_score
0.5778777206857374
kb_relative_information_score
0.5845562466998037
kb_relative_information_score
0.5411100205871225
kb_relative_information_score
0.5092039241366656
kb_relative_information_score
0.5574806485673391
mean_absolute_error
0.184605150821445
mean_absolute_error
0.18660092540479786
mean_absolute_error
0.19428873551315645
mean_absolute_error
0.20868081877973335
mean_absolute_error
0.18979216288333564
mean_absolute_error
0.1774180287997718
mean_absolute_error
0.17638991661411738
mean_absolute_error
0.18981215371601004
mean_absolute_error
0.2026718734853015
mean_absolute_error
0.18588365979159305
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
0.8625827761996883 [0.91129,0.745562]
precision
0.8748322196326601 [0.904884,0.802632]
precision
0.8472756044641652 [0.879093,0.770833]
precision
0.8349322509761598 [0.886243,0.711656]
precision
0.8574966761633429 [0.892308,0.773333]
precision
0.8861258083480306 [0.92328,0.796296]
precision
0.8803638893912904 [0.909794,0.809211]
precision
0.8516642477112104 [0.887468,0.765101]
precision
0.8466071428571429 [0.875,0.778571]
precision
0.8639836264512507 [0.883375,0.817518]
predictive_accuracy
0.8595194085027726
predictive_accuracy
0.8761552680221811
predictive_accuracy
0.8502772643253235
predictive_accuracy
0.833641404805915
predictive_accuracy
0.8592592592592593
predictive_accuracy
0.8851851851851852
predictive_accuracy
0.8814814814814815
predictive_accuracy
0.8537037037037036
predictive_accuracy
0.85
predictive_accuracy
0.8666666666666667
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
0.44493179881358275
relative_absolute_error
0.4497419764898086
relative_absolute_error
0.468270989170271
relative_absolute_error
0.5029585126114049
relative_absolute_error
0.45802941841640704
relative_absolute_error
0.42816666037836676
relative_absolute_error
0.4256854956173561
relative_absolute_error
0.45807766271334954
relative_absolute_error
0.48821145533443555
relative_absolute_error
0.44777072668806367
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
0.30355938038964325
root_mean_squared_error
0.30506676572164554
root_mean_squared_error
0.3226866929261987
root_mean_squared_error
0.3247111279667289
root_mean_squared_error
0.3152252778691493
root_mean_squared_error
0.29215551316356525
root_mean_squared_error
0.290488446391224
root_mean_squared_error
0.311406120555168
root_mean_squared_error
0.3272322956376039
root_mean_squared_error
0.3086851987033841
root_relative_squared_error
0.6663625170958188
root_relative_squared_error
0.6696714745814252
root_relative_squared_error
0.7083500982760721
root_relative_squared_error
0.7127940644864823
root_relative_squared_error
0.6928729134917126
root_relative_squared_error
0.6421650032848369
root_relative_squared_error
0.6385007495189421
root_relative_squared_error
0.6844783117861989
root_relative_squared_error
0.7179398438693663
root_relative_squared_error
0.6772479560126423
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
0.8399436925812507 [0.887435,0.792453]
unweighted_recall
0.844380783035332 [0.921466,0.767296]
unweighted_recall
0.8058628864960979 [0.913613,0.698113]
unweighted_recall
0.8032615496065065 [0.876963,0.72956]
unweighted_recall
0.8225859897938896 [0.910995,0.734177]
unweighted_recall
0.865034130823779 [0.913613,0.816456]
unweighted_recall
0.8512823911458678 [0.924084,0.778481]
unweighted_recall
0.8149479753462787 [0.908377,0.721519]
unweighted_recall
0.8020848808993215 [0.918635,0.685535]
unweighted_recall
0.819392858911504 [0.934383,0.704403]
usercpu_time_millis
830.9134779999567
usercpu_time_millis
1037.313135999966
usercpu_time_millis
570.2909549999617
usercpu_time_millis
400.15629499998795
usercpu_time_millis
1103.6471229999734
usercpu_time_millis
761.800433000019
usercpu_time_millis
495.63366399996767
usercpu_time_millis
510.13460600000826
usercpu_time_millis
376.56589500005566
usercpu_time_millis
439.9773030000347
usercpu_time_millis_testing
6.107639999981984
usercpu_time_millis_testing
6.74640099998669
usercpu_time_millis_testing
5.799261999982264
usercpu_time_millis_testing
5.7610000000067885
usercpu_time_millis_testing
6.263627999999244
usercpu_time_millis_testing
6.427830000006907
usercpu_time_millis_testing
5.884317999971245
usercpu_time_millis_testing
5.585845000041445
usercpu_time_millis_testing
5.567992000010236
usercpu_time_millis_testing
4.0348480000034215
usercpu_time_millis_training
824.8058379999748
usercpu_time_millis_training
1030.5667349999794
usercpu_time_millis_training
564.4916929999795
usercpu_time_millis_training
394.39529499998116
usercpu_time_millis_training
1097.3834949999741
usercpu_time_millis_training
755.3726030000121
usercpu_time_millis_training
489.7493459999964
usercpu_time_millis_training
504.5487609999668
usercpu_time_millis_training
370.9979030000454
usercpu_time_millis_training
435.94245500003126
wall_clock_time_millis
844.4960117340088
wall_clock_time_millis
1062.8948211669922
wall_clock_time_millis
574.735164642334
wall_clock_time_millis
406.10432624816895
wall_clock_time_millis
1126.6515254974365
wall_clock_time_millis
782.606840133667
wall_clock_time_millis
511.75880432128906
wall_clock_time_millis
519.4733142852783
wall_clock_time_millis
382.36236572265625
wall_clock_time_millis
441.0884380340576
wall_clock_time_millis_testing
6.111860275268555
wall_clock_time_millis_testing
6.751298904418945
wall_clock_time_millis_testing
5.804538726806641
wall_clock_time_millis_testing
5.766868591308594
wall_clock_time_millis_testing
6.268501281738281
wall_clock_time_millis_testing
6.457805633544922
wall_clock_time_millis_testing
5.890607833862305
wall_clock_time_millis_testing
5.590677261352539
wall_clock_time_millis_testing
5.574703216552734
wall_clock_time_millis_testing
4.039525985717773
wall_clock_time_millis_training
838.3841514587402
wall_clock_time_millis_training
1056.1435222625732
wall_clock_time_millis_training
568.9306259155273
wall_clock_time_millis_training
400.33745765686035
wall_clock_time_millis_training
1120.3830242156982
wall_clock_time_millis_training
776.1490345001221
wall_clock_time_millis_training
505.86819648742676
wall_clock_time_millis_training
513.8826370239258
wall_clock_time_millis_training
376.7876625061035
wall_clock_time_millis_training
437.04891204833984
weighted_recall
0.8595194085027726 [0.887435,0.792453]
weighted_recall
0.8761552680221811 [0.921466,0.767296]
weighted_recall
0.8502772643253235 [0.913613,0.698113]
weighted_recall
0.833641404805915 [0.876963,0.72956]
weighted_recall
0.8592592592592593 [0.910995,0.734177]
weighted_recall
0.8851851851851852 [0.913613,0.816456]
weighted_recall
0.8814814814814815 [0.924084,0.778481]
weighted_recall
0.8537037037037037 [0.908377,0.721519]
weighted_recall
0.85 [0.918635,0.685535]
weighted_recall
0.8666666666666667 [0.934383,0.704403]