10584025
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)
8300307
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
0.6168701963413356
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
237
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
11
19040
random_state
19900
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.3526159516896706
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
22094318
description
https://api.openml.org/data/download/22094318/description.xml
-1
22094319
predictions
https://api.openml.org/data/download/22094319/predictions.arff
area_under_roc_curve
0.9235790412045681 [0.923579,0.923579]
average_cost
0
f_measure
0.8620559097999952 [0.903142,0.76315]
kappa
0.6663081953523502
kb_relative_information_score
0.5538163440779753
mean_absolute_error
0.18434817324497527
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.8625092524056255 [0.907281,0.754729]
number_of_instances
5404 [3818,1586]
precision
0.8616849029588732 [0.89904,0.77176]
predictive_accuracy
0.8625092524056255
prior_entropy
0.8731822780289229
relative_absolute_error
0.4444955024747935
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.31490154283522404
root_relative_squared_error
0.6915451966718501
total_cost
0
unweighted_recall
0.8310050883945894 [0.907281,0.754729]
area_under_roc_curve
0.9152919095129901 [0.915292,0.915292]
area_under_roc_curve
0.9364812802528895 [0.936481,0.936481]
area_under_roc_curve
0.9282903618821825 [0.92829,0.92829]
area_under_roc_curve
0.9186670618064473 [0.918667,0.918667]
area_under_roc_curve
0.8928772615812843 [0.892877,0.892877]
area_under_roc_curve
0.9297004440320763 [0.9297,0.9297]
area_under_roc_curve
0.9427563125455629 [0.942756,0.942756]
area_under_roc_curve
0.930918218569819 [0.930918,0.930918]
area_under_roc_curve
0.9237854702124498 [0.923785,0.923785]
area_under_roc_curve
0.92099572459103 [0.920996,0.920996]
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
0.8458155829984869 [0.888889,0.742331]
f_measure
0.8795149627255897 [0.915254,0.793651]
f_measure
0.8618793668658261 [0.904393,0.75974]
f_measure
0.8622198313630346 [0.900925,0.769231]
f_measure
0.8313241345921084 [0.881046,0.711111]
f_measure
0.8755739698610766 [0.912647,0.785942]
f_measure
0.8851851851851852 [0.918848,0.803797]
f_measure
0.8630456953889296 [0.906049,0.759076]
f_measure
0.8544421170227622 [0.898701,0.748387]
f_measure
0.8613382648494368 [0.904393,0.75817]
kappa
0.6313159175726109
kappa
0.7089158740801444
kappa
0.6642738540496118
kappa
0.6702211529865
kappa
0.5921585552088175
kappa
0.6986004665111628
kappa
0.7226456358936973
kappa
0.665365025466893
kappa
0.6471829924109161
kappa
0.6627677350751936
kb_relative_information_score
0.5221405216515771
kb_relative_information_score
0.5553815001228665
kb_relative_information_score
0.5698352172577449
kb_relative_information_score
0.5467227924639704
kb_relative_information_score
0.4981550748632245
kb_relative_information_score
0.552690302256309
kb_relative_information_score
0.5959026570566867
kb_relative_information_score
0.5754353609891077
kb_relative_information_score
0.5600952696864084
kb_relative_information_score
0.5618458013642335
mean_absolute_error
0.19560505796736072
mean_absolute_error
0.18678909711787317
mean_absolute_error
0.1766843728822676
mean_absolute_error
0.18733446589567213
mean_absolute_error
0.20339091763801856
mean_absolute_error
0.18676914977015374
mean_absolute_error
0.1697778759457844
mean_absolute_error
0.17333634714151128
mean_absolute_error
0.18033854605163077
mean_absolute_error
0.18343919777858855
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
0.8473026960993942 [0.898396,0.724551]
precision
0.8792398913471001 [0.911688,0.801282]
precision
0.8612269455909745 [0.892857,0.785235]
precision
0.863390478735645 [0.909333,0.753012]
precision
0.8311731115459641 [0.879896,0.713376]
precision
0.8752840230259584 [0.909091,0.793548]
precision
0.8851851851851852 [0.918848,0.803797]
precision
0.862454693890748 [0.891139,0.793103]
precision
0.8537592854264912 [0.88946,0.768212]
precision
0.8607080830635901 [0.890585,0.789116]
predictive_accuracy
0.844731977818854
predictive_accuracy
0.8798521256931607
predictive_accuracy
0.8632162661737524
predictive_accuracy
0.8613678373382625
predictive_accuracy
0.8314814814814815
predictive_accuracy
0.875925925925926
predictive_accuracy
0.8851851851851852
predictive_accuracy
0.8648148148148148
predictive_accuracy
0.8555555555555556
predictive_accuracy
0.8629629629629629
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
0.4714435643381995
relative_absolute_error
0.4501955043486569
relative_absolute_error
0.4258412915292553
relative_absolute_error
0.4515099417315962
relative_absolute_error
0.4908475792764183
relative_absolute_error
0.4507339172900144
relative_absolute_error
0.4097285188072873
relative_absolute_error
0.4183162521861002
relative_absolute_error
0.43441323409460675
relative_absolute_error
0.44188232028832103
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
0.32633387052696133
root_mean_squared_error
0.30260023967138555
root_mean_squared_error
0.31325992517240453
root_mean_squared_error
0.3229250217095509
root_mean_squared_error
0.34138776274030447
root_mean_squared_error
0.30373520332885295
root_mean_squared_error
0.28968888977356066
root_mean_squared_error
0.3129375595597451
root_mean_squared_error
0.31788451525490313
root_mean_squared_error
0.31535516137712366
root_relative_squared_error
0.7163562499661306
root_relative_squared_error
0.6642570462569769
root_relative_squared_error
0.6876568003768834
root_relative_squared_error
0.708873268957759
root_relative_squared_error
0.7503786986857061
root_relative_squared_error
0.6676174470621558
root_relative_squared_error
0.6367433044088073
root_relative_squared_error
0.6878444523828826
root_relative_squared_error
0.697431036890505
root_relative_squared_error
0.6918816948716645
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
0.8202937205703185 [0.879581,0.761006]
unweighted_recall
0.8525058447759228 [0.918848,0.786164]
unweighted_recall
0.8260397115479601 [0.91623,0.735849]
unweighted_recall
0.8394168395403208 [0.89267,0.786164]
unweighted_recall
0.795529856186626 [0.882199,0.708861]
unweighted_recall
0.8473556895751873 [0.91623,0.778481]
unweighted_recall
0.8613228179468486 [0.918848,0.803797]
unweighted_recall
0.8246570349261051 [0.921466,0.727848]
unweighted_recall
0.8188481156836527 [0.908136,0.72956]
unweighted_recall
0.8240974595156737 [0.918635,0.72956]
usercpu_time_millis
472.4274600000058
usercpu_time_millis
379.2938139999933
usercpu_time_millis
509.196218999989
usercpu_time_millis
489.50198
usercpu_time_millis
416.82799799997383
usercpu_time_millis
413.44792399996777
usercpu_time_millis
452.68063399998937
usercpu_time_millis
666.9783449999613
usercpu_time_millis
727.5607069999523
usercpu_time_millis
440.10973199999626
usercpu_time_millis_testing
6.010581999987608
usercpu_time_millis_testing
5.451615000026777
usercpu_time_millis_testing
5.757324000001063
usercpu_time_millis_testing
5.557914999997138
usercpu_time_millis_testing
6.161773999963316
usercpu_time_millis_testing
5.896867999979349
usercpu_time_millis_testing
6.033030999958555
usercpu_time_millis_testing
5.992559999981495
usercpu_time_millis_testing
4.2398239999670295
usercpu_time_millis_testing
5.589843999985078
usercpu_time_millis_training
466.4168780000182
usercpu_time_millis_training
373.8421989999665
usercpu_time_millis_training
503.43889499998795
usercpu_time_millis_training
483.94406500000287
usercpu_time_millis_training
410.6662240000105
usercpu_time_millis_training
407.5510559999884
usercpu_time_millis_training
446.6476030000308
usercpu_time_millis_training
660.9857849999798
usercpu_time_millis_training
723.3208829999853
usercpu_time_millis_training
434.5198880000112
wall_clock_time_millis
483.40487480163574
wall_clock_time_millis
389.55163955688477
wall_clock_time_millis
524.8746871948242
wall_clock_time_millis
503.91340255737305
wall_clock_time_millis
424.2663383483887
wall_clock_time_millis
417.21296310424805
wall_clock_time_millis
502.58588790893555
wall_clock_time_millis
688.6608600616455
wall_clock_time_millis
733.2754135131836
wall_clock_time_millis
443.32122802734375
wall_clock_time_millis_testing
6.015539169311523
wall_clock_time_millis_testing
5.466699600219727
wall_clock_time_millis_testing
5.780220031738281
wall_clock_time_millis_testing
5.562782287597656
wall_clock_time_millis_testing
6.184816360473633
wall_clock_time_millis_testing
5.970239639282227
wall_clock_time_millis_testing
6.0520172119140625
wall_clock_time_millis_testing
5.997180938720703
wall_clock_time_millis_testing
4.244327545166016
wall_clock_time_millis_testing
5.594730377197266
wall_clock_time_millis_training
477.3893356323242
wall_clock_time_millis_training
384.08493995666504
wall_clock_time_millis_training
519.0944671630859
wall_clock_time_millis_training
498.3506202697754
wall_clock_time_millis_training
418.08152198791504
wall_clock_time_millis_training
411.2427234649658
wall_clock_time_millis_training
496.5338706970215
wall_clock_time_millis_training
682.6636791229248
wall_clock_time_millis_training
729.0310859680176
wall_clock_time_millis_training
437.7264976501465
weighted_recall
0.844731977818854 [0.879581,0.761006]
weighted_recall
0.8798521256931608 [0.918848,0.786164]
weighted_recall
0.8632162661737524 [0.91623,0.735849]
weighted_recall
0.8613678373382625 [0.89267,0.786164]
weighted_recall
0.8314814814814815 [0.882199,0.708861]
weighted_recall
0.8759259259259259 [0.91623,0.778481]
weighted_recall
0.8851851851851852 [0.918848,0.803797]
weighted_recall
0.8648148148148148 [0.921466,0.727848]
weighted_recall
0.8555555555555555 [0.908136,0.72956]
weighted_recall
0.8629629629629629 [0.918635,0.72956]