10584002
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)
8300284
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
0.3818827857993943
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1596
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
66
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
36907
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.10989317415522461
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
22094272
description
https://api.openml.org/data/download/22094272/description.xml
-1
22094273
predictions
https://api.openml.org/data/download/22094273/predictions.arff
area_under_roc_curve
0.9280023212538734 [0.928002,0.928002]
average_cost
0
f_measure
0.8668755376650558 [0.906844,0.77066]
kappa
0.6775370411237647
kb_relative_information_score
0.5333178725297535
mean_absolute_error
0.19524434377164973
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.8675055514433753 [0.912782,0.758512]
number_of_instances
5404 [3818,1586]
precision
0.8664158096330937 [0.900982,0.783203]
predictive_accuracy
0.8675055514433753
prior_entropy
0.8731822780289229
relative_absolute_error
0.4707680643779108
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.3107641630047031
root_relative_squared_error
0.6824592292839391
total_cost
0
unweighted_recall
0.8356467704250854 [0.912782,0.758512]
area_under_roc_curve
0.9285949487964701 [0.928595,0.928595]
area_under_roc_curve
0.9361849254173663 [0.936185,0.936185]
area_under_roc_curve
0.9297474398235044 [0.929747,0.929747]
area_under_roc_curve
0.9201570680628272 [0.920157,0.920157]
area_under_roc_curve
0.9126847372257936 [0.912685,0.912685]
area_under_roc_curve
0.9391941149181523 [0.939194,0.939194]
area_under_roc_curve
0.9398402809994035 [0.93984,0.93984]
area_under_roc_curve
0.921192590628935 [0.921193,0.921193]
area_under_roc_curve
0.9207316066623749 [0.920732,0.920732]
area_under_roc_curve
0.9341025768005414 [0.934103,0.934103]
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
0.860499813189107 [0.899471,0.766871]
f_measure
0.8764898725272608 [0.911958,0.791277]
f_measure
0.8690733606169949 [0.909794,0.771242]
f_measure
0.8356398817394979 [0.883355,0.721003]
f_measure
0.8693585247989394 [0.909326,0.772727]
f_measure
0.9013819568045001 [0.931079,0.829582]
f_measure
0.8842889791076319 [0.919689,0.798701]
f_measure
0.8489819047259265 [0.894942,0.737864]
f_measure
0.8547309027777777 [0.898438,0.75]
f_measure
0.8682694253865026 [0.910026,0.768212]
kappa
0.6664286873276002
kappa
0.7032461418805518
kappa
0.6812289562289563
kappa
0.6043599372221629
kappa
0.6821392532795155
kappa
0.7606863335340157
kappa
0.7184661957618567
kappa
0.6328812193648022
kappa
0.6484903109508786
kappa
0.6785878271516759
kb_relative_information_score
0.5325648444899275
kb_relative_information_score
0.5422541354366114
kb_relative_information_score
0.5547107842190749
kb_relative_information_score
0.49601745892224314
kb_relative_information_score
0.5055377320130066
kb_relative_information_score
0.5469756229465229
kb_relative_information_score
0.5626672244806724
kb_relative_information_score
0.5034036528104323
kb_relative_information_score
0.5164986832181284
kb_relative_information_score
0.5725173811157853
mean_absolute_error
0.19526608821206343
mean_absolute_error
0.19373014080362275
mean_absolute_error
0.18597163552908888
mean_absolute_error
0.20624713400349332
mean_absolute_error
0.20656876606282865
mean_absolute_error
0.19235791369124514
mean_absolute_error
0.18557451526801702
mean_absolute_error
0.20635150888431492
mean_absolute_error
0.2005256381734974
mean_absolute_error
0.17984965704487985
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
0.8618940911656774 [0.909091,0.748503]
precision
0.8768851201388427 [0.915567,0.783951]
precision
0.8685422994929601 [0.895939,0.802721]
precision
0.8357962374042431 [0.884514,0.71875]
precision
0.8687901234567901 [0.9,0.793333]
precision
0.9010932653279515 [0.925065,0.843137]
precision
0.8838480531813866 [0.910256,0.82]
precision
0.8482898925756311 [0.886889,0.754967]
precision
0.8541470334903988 [0.891473,0.764706]
precision
0.8679852193706098 [0.891688,0.811189]
predictive_accuracy
0.8595194085027726
predictive_accuracy
0.8761552680221811
predictive_accuracy
0.8706099815157117
predictive_accuracy
0.8354898336414048
predictive_accuracy
0.8703703703703703
predictive_accuracy
0.9018518518518519
predictive_accuracy
0.8851851851851852
predictive_accuracy
0.85
predictive_accuracy
0.8555555555555556
predictive_accuracy
0.8703703703703703
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
0.47062658592618484
relative_absolute_error
0.4669246748999775
relative_absolute_error
0.4482252740840063
relative_absolute_error
0.4970928921754667
relative_absolute_error
0.49851674771687693
relative_absolute_error
0.4642213988042937
relative_absolute_error
0.44785088072032103
relative_absolute_error
0.4979924363985924
relative_absolute_error
0.48304144014166617
relative_absolute_error
0.4332355609948404
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
0.3091645374163497
root_mean_squared_error
0.3037926404693448
root_mean_squared_error
0.30927270486368424
root_mean_squared_error
0.324660142721633
root_mean_squared_error
0.3229871262838763
root_mean_squared_error
0.296176648104021
root_mean_squared_error
0.2934168890666645
root_mean_squared_error
0.3215466002101724
root_mean_squared_error
0.3230331942794663
root_mean_squared_error
0.30155408391223026
root_relative_squared_error
0.6786667540468864
root_relative_squared_error
0.6668745611435053
root_relative_squared_error
0.678904199295263
root_relative_squared_error
0.7126821435298205
root_relative_squared_error
0.7099336472042718
root_relative_squared_error
0.6510035567808338
root_relative_squared_error
0.6449375385424676
root_relative_squared_error
0.7067673354655847
root_relative_squared_error
0.7087271157442927
root_relative_squared_error
0.6616024604181444
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
0.8381079390167605 [0.890052,0.786164]
unweighted_recall
0.8535595508577827 [0.908377,0.798742]
unweighted_recall
0.833111067206691 [0.924084,0.742138]
unweighted_recall
0.8027346965655767 [0.882199,0.72327]
unweighted_recall
0.8360063622506462 [0.918848,0.753165]
unweighted_recall
0.8768142355358208 [0.937173,0.816456]
unweighted_recall
0.8539001921929883 [0.929319,0.778481]
unweighted_recall
0.8123301742991583 [0.903141,0.721519]
unweighted_recall
0.8206804338136977 [0.905512,0.735849]
unweighted_recall
0.8293468033476947 [0.929134,0.72956]
usercpu_time_millis
573.0645460000687
usercpu_time_millis
655.6976370000029
usercpu_time_millis
619.419884000024
usercpu_time_millis
597.3738369999637
usercpu_time_millis
540.5625870000108
usercpu_time_millis
552.1622790000151
usercpu_time_millis
489.4141530000411
usercpu_time_millis
398.4763340000086
usercpu_time_millis
540.4400369999962
usercpu_time_millis
726.6394590000118
usercpu_time_millis_testing
5.661354000039864
usercpu_time_millis_testing
6.217352000021492
usercpu_time_millis_testing
5.886535000001913
usercpu_time_millis_testing
6.053356999984771
usercpu_time_millis_testing
5.94645300003549
usercpu_time_millis_testing
6.596191000028284
usercpu_time_millis_testing
5.8114340000088305
usercpu_time_millis_testing
6.116447000010794
usercpu_time_millis_testing
6.149123000000145
usercpu_time_millis_testing
4.176824000012402
usercpu_time_millis_training
567.4031920000289
usercpu_time_millis_training
649.4802849999814
usercpu_time_millis_training
613.5333490000221
usercpu_time_millis_training
591.3204799999789
usercpu_time_millis_training
534.6161339999753
usercpu_time_millis_training
545.5660879999868
usercpu_time_millis_training
483.60271900003227
usercpu_time_millis_training
392.3598869999978
usercpu_time_millis_training
534.2909139999961
usercpu_time_millis_training
722.4626349999994
wall_clock_time_millis
584.4974517822266
wall_clock_time_millis
671.5908050537109
wall_clock_time_millis
638.9105319976807
wall_clock_time_millis
616.5070533752441
wall_clock_time_millis
544.4364547729492
wall_clock_time_millis
575.9222507476807
wall_clock_time_millis
498.01087379455566
wall_clock_time_millis
408.1137180328369
wall_clock_time_millis
547.9211807250977
wall_clock_time_millis
740.8955097198486
wall_clock_time_millis_testing
5.666255950927734
wall_clock_time_millis_testing
6.222963333129883
wall_clock_time_millis_testing
6.628274917602539
wall_clock_time_millis_testing
6.058692932128906
wall_clock_time_millis_testing
5.951881408691406
wall_clock_time_millis_testing
6.602287292480469
wall_clock_time_millis_testing
5.81669807434082
wall_clock_time_millis_testing
12.10927963256836
wall_clock_time_millis_testing
6.165981292724609
wall_clock_time_millis_testing
4.180669784545898
wall_clock_time_millis_training
578.8311958312988
wall_clock_time_millis_training
665.367841720581
wall_clock_time_millis_training
632.2822570800781
wall_clock_time_millis_training
610.4483604431152
wall_clock_time_millis_training
538.4845733642578
wall_clock_time_millis_training
569.3199634552002
wall_clock_time_millis_training
492.19417572021484
wall_clock_time_millis_training
396.00443840026855
wall_clock_time_millis_training
541.755199432373
wall_clock_time_millis_training
736.7148399353027
weighted_recall
0.8595194085027726 [0.890052,0.786164]
weighted_recall
0.8761552680221811 [0.908377,0.798742]
weighted_recall
0.8706099815157117 [0.924084,0.742138]
weighted_recall
0.8354898336414048 [0.882199,0.72327]
weighted_recall
0.8703703703703703 [0.918848,0.753165]
weighted_recall
0.9018518518518519 [0.937173,0.816456]
weighted_recall
0.8851851851851852 [0.929319,0.778481]
weighted_recall
0.85 [0.903141,0.721519]
weighted_recall
0.8555555555555555 [0.905512,0.735849]
weighted_recall
0.8703703703703703 [0.929134,0.72956]