10583994
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)
8300276
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
0.3840643482724717
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
144
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
166
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
14
19040
random_state
10415
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.28308236943847526
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
22094256
description
https://api.openml.org/data/download/22094256/description.xml
-1
22094257
predictions
https://api.openml.org/data/download/22094257/predictions.arff
area_under_roc_curve
0.9287712283422852 [0.928771,0.928771]
average_cost
0
f_measure
0.8627582971260354 [0.904006,0.763462]
kappa
0.6675052640214391
kb_relative_information_score
0.5425968169949758
mean_absolute_error
0.1912404527681915
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.8634344929681718 [0.910162,0.750946]
number_of_instances
5404 [3818,1586]
precision
0.8622650582709076 [0.897933,0.776402]
predictive_accuracy
0.8634344929681717
prior_entropy
0.8731822780289229
relative_absolute_error
0.4611139869215996
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.3100583870889915
root_relative_squared_error
0.6809092973908064
total_cost
0
unweighted_recall
0.8305540821105575 [0.910162,0.750946]
area_under_roc_curve
0.9247588000921994 [0.924759,0.924759]
area_under_roc_curve
0.9381276960057954 [0.938128,0.938128]
area_under_roc_curve
0.9251045474003095 [0.925105,0.925105]
area_under_roc_curve
0.9178191576937009 [0.917819,0.917819]
area_under_roc_curve
0.9175226986546492 [0.917523,0.917523]
area_under_roc_curve
0.9357976009013189 [0.935798,0.935798]
area_under_roc_curve
0.9391941149181523 [0.939194,0.939194]
area_under_roc_curve
0.9329478427993902 [0.932948,0.932948]
area_under_roc_curve
0.9170339556612027 [0.917034,0.917034]
area_under_roc_curve
0.9405487049967811 [0.940549,0.940549]
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
0.8686403287376241 [0.90719,0.776025]
f_measure
0.8706099815157117 [0.908377,0.779874]
f_measure
0.8592582446969851 [0.900783,0.759494]
f_measure
0.8418778685825443 [0.886544,0.734568]
f_measure
0.8584455926391411 [0.901299,0.754839]
f_measure
0.8919716364877656 [0.924675,0.812903]
f_measure
0.875331907658519 [0.912874,0.784566]
f_measure
0.8530032941048207 [0.897269,0.745981]
f_measure
0.8446362696115131 [0.892626,0.729642]
f_measure
0.8635824600110314 [0.908163,0.756757]
kappa
0.6832160853752073
kappa
0.6882511771872635
kappa
0.6602825745682889
kappa
0.6211669679352516
kappa
0.6561892634541922
kappa
0.7376181221097782
kappa
0.6974714027694159
kappa
0.6432871763997592
kappa
0.6224603254826646
kappa
0.6656174209195522
kb_relative_information_score
0.5358653361784309
kb_relative_information_score
0.5366817771527264
kb_relative_information_score
0.5413834086925601
kb_relative_information_score
0.4983024633185671
kb_relative_information_score
0.5184339049546014
kb_relative_information_score
0.5768628508764625
kb_relative_information_score
0.5630354402315377
kb_relative_information_score
0.5538752195548188
kb_relative_information_score
0.5198504602621021
kb_relative_information_score
0.5818512663647885
mean_absolute_error
0.19644010094625788
mean_absolute_error
0.19601188844663484
mean_absolute_error
0.19031019667168134
mean_absolute_error
0.20796811855436712
mean_absolute_error
0.20068731634089407
mean_absolute_error
0.1815114749687475
mean_absolute_error
0.18419558220486293
mean_absolute_error
0.1816751228340649
mean_absolute_error
0.19756748492752826
mean_absolute_error
0.17598952235438414
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
0.868525833254577 [0.906005,0.778481]
precision
0.8706099815157117 [0.908377,0.779874]
precision
0.8590236366365659 [0.898438,0.764331]
precision
0.8429471892798278 [0.893617,0.721212]
precision
0.8578748919836819 [0.89433,0.769737]
precision
0.8916083880950946 [0.917526,0.828947]
precision
0.8749111933030461 [0.906977,0.797386]
precision
0.8524694172816988 [0.891473,0.75817]
precision
0.8437837071765643 [0.880102,0.756757]
precision
0.8639836264512507 [0.883375,0.817518]
predictive_accuracy
0.8687615526802219
predictive_accuracy
0.8706099815157117
predictive_accuracy
0.8595194085027726
predictive_accuracy
0.8410351201478743
predictive_accuracy
0.8592592592592593
predictive_accuracy
0.8925925925925925
predictive_accuracy
0.875925925925926
predictive_accuracy
0.8537037037037036
predictive_accuracy
0.8462962962962963
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
0.4734561689325682
relative_absolute_error
0.4724240993674236
relative_absolute_error
0.45868199105450663
relative_absolute_error
0.5012407761783962
relative_absolute_error
0.4843229214036221
relative_absolute_error
0.43804546011177464
relative_absolute_error
0.4445230725571364
relative_absolute_error
0.4384403949470053
relative_absolute_error
0.4759156151493709
relative_absolute_error
0.42393697435513816
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
0.31238386985791333
root_mean_squared_error
0.30208308922786836
root_mean_squared_error
0.31624403584550753
root_mean_squared_error
0.32560874904487136
root_mean_squared_error
0.3158199452124217
root_mean_squared_error
0.2927283458437525
root_mean_squared_error
0.2957812545393157
root_mean_squared_error
0.313922085327255
root_mean_squared_error
0.32610841061701407
root_mean_squared_error
0.29776038728559323
root_relative_squared_error
0.685733715596139
root_relative_squared_error
0.6631218164023864
root_relative_squared_error
0.6942074116505954
root_relative_squared_error
0.7147644896476534
root_relative_squared_error
0.6941800069376342
root_relative_squared_error
0.6434241036042897
root_relative_squared_error
0.6501344720011957
root_relative_squared_error
0.6900084642335611
root_relative_squared_error
0.7154740669672509
root_relative_squared_error
0.6532791805948355
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
0.8409809345055814 [0.908377,0.773585]
unweighted_recall
0.8441255885936316 [0.908377,0.779874]
unweighted_recall
0.8289291711943101 [0.903141,0.754717]
unweighted_recall
0.8140044123942178 [0.879581,0.748428]
unweighted_recall
0.8244416462323547 [0.908377,0.740506]
unweighted_recall
0.8647027636026244 [0.931937,0.797468]
unweighted_recall
0.8455000331367222 [0.918848,0.772152]
unweighted_recall
0.818659288223209 [0.903141,0.734177]
unweighted_recall
0.8049571633734462 [0.905512,0.704403]
unweighted_recall
0.819392858911504 [0.934383,0.704403]
usercpu_time_millis
615.597136999952
usercpu_time_millis
749.8217840000052
usercpu_time_millis
916.1463250000565
usercpu_time_millis
722.1990669999627
usercpu_time_millis
887.3840680000171
usercpu_time_millis
765.7945309999832
usercpu_time_millis
552.768227999934
usercpu_time_millis
924.9307209999529
usercpu_time_millis
734.1811650000523
usercpu_time_millis
736.3639159999593
usercpu_time_millis_testing
6.011596999996982
usercpu_time_millis_testing
6.506483000009666
usercpu_time_millis_testing
6.965754000020752
usercpu_time_millis_testing
6.402734000005239
usercpu_time_millis_testing
6.421724999995604
usercpu_time_millis_testing
6.242111000005934
usercpu_time_millis_testing
6.142680999971617
usercpu_time_millis_testing
6.713034999961565
usercpu_time_millis_testing
6.561467000040011
usercpu_time_millis_testing
4.580737999958728
usercpu_time_millis_training
609.585539999955
usercpu_time_millis_training
743.3153009999955
usercpu_time_millis_training
909.1805710000358
usercpu_time_millis_training
715.7963329999575
usercpu_time_millis_training
880.9623430000215
usercpu_time_millis_training
759.5524199999772
usercpu_time_millis_training
546.6255469999624
usercpu_time_millis_training
918.2176859999913
usercpu_time_millis_training
727.6196980000122
usercpu_time_millis_training
731.7831780000006
wall_clock_time_millis
620.4831600189209
wall_clock_time_millis
767.2076225280762
wall_clock_time_millis
943.4876441955566
wall_clock_time_millis
726.8309593200684
wall_clock_time_millis
913.3503437042236
wall_clock_time_millis
779.757022857666
wall_clock_time_millis
578.5632133483887
wall_clock_time_millis
937.5722408294678
wall_clock_time_millis
743.5061931610107
wall_clock_time_millis
738.8131618499756
wall_clock_time_millis_testing
6.017208099365234
wall_clock_time_millis_testing
6.511926651000977
wall_clock_time_millis_testing
7.001399993896484
wall_clock_time_millis_testing
6.431102752685547
wall_clock_time_millis_testing
6.42704963684082
wall_clock_time_millis_testing
6.273984909057617
wall_clock_time_millis_testing
6.147861480712891
wall_clock_time_millis_testing
6.718635559082031
wall_clock_time_millis_testing
6.566762924194336
wall_clock_time_millis_testing
4.585027694702148
wall_clock_time_millis_training
614.4659519195557
wall_clock_time_millis_training
760.6956958770752
wall_clock_time_millis_training
936.4862442016602
wall_clock_time_millis_training
720.3998565673828
wall_clock_time_millis_training
906.9232940673828
wall_clock_time_millis_training
773.4830379486084
wall_clock_time_millis_training
572.4153518676758
wall_clock_time_millis_training
930.8536052703857
wall_clock_time_millis_training
736.9394302368164
wall_clock_time_millis_training
734.2281341552734
weighted_recall
0.8687615526802218 [0.908377,0.773585]
weighted_recall
0.8706099815157117 [0.908377,0.779874]
weighted_recall
0.8595194085027726 [0.903141,0.754717]
weighted_recall
0.8410351201478743 [0.879581,0.748428]
weighted_recall
0.8592592592592593 [0.908377,0.740506]
weighted_recall
0.8925925925925926 [0.931937,0.797468]
weighted_recall
0.8759259259259259 [0.918848,0.772152]
weighted_recall
0.8537037037037037 [0.903141,0.734177]
weighted_recall
0.8462962962962963 [0.905512,0.704403]
weighted_recall
0.8666666666666667 [0.934383,0.704403]