10583957
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)
8300239
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
0.8522652648175043
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
316
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
187
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
2
19040
random_state
22741
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.2105528583995058
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
22094182
description
https://api.openml.org/data/download/22094182/description.xml
-1
22094183
predictions
https://api.openml.org/data/download/22094183/predictions.arff
area_under_roc_curve
0.9144130114404656 [0.914413,0.914413]
average_cost
0
f_measure
0.8478466351156806 [0.894526,0.735475]
kappa
0.6301298399406631
kb_relative_information_score
0.5014880918297743
mean_absolute_error
0.20646559678534593
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.8491857883049593 [0.905186,0.714376]
number_of_instances
5404 [3818,1586]
precision
0.847059748564758 [0.884114,0.75786]
predictive_accuracy
0.8491857883049593
prior_entropy
0.8731822780289229
relative_absolute_error
0.49782445668667286
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.3254920841702632
root_relative_squared_error
0.7148027454423663
total_cost
0
unweighted_recall
0.8097808746912647 [0.905186,0.714376]
area_under_roc_curve
0.9142382034311304 [0.914238,0.914238]
area_under_roc_curve
0.9296239586420364 [0.929624,0.929624]
area_under_roc_curve
0.9106654812473247 [0.910665,0.910665]
area_under_roc_curve
0.905355790444203 [0.905356,0.905356]
area_under_roc_curve
0.8913032672808006 [0.891303,0.891303]
area_under_roc_curve
0.9152859699118563 [0.915286,0.915286]
area_under_roc_curve
0.9224766386109086 [0.922477,0.922477]
area_under_roc_curve
0.9214659685863875 [0.921466,0.921466]
area_under_roc_curve
0.9079301408078707 [0.90793,0.90793]
area_under_roc_curve
0.9270704369500982 [0.92707,0.92707]
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
0.8487035830895446 [0.892388,0.74375]
f_measure
0.8671543656396001 [0.905512,0.775]
f_measure
0.8463024608287393 [0.894602,0.730263]
f_measure
0.8215359501865972 [0.875325,0.692308]
f_measure
0.8313325194429372 [0.884021,0.703947]
f_measure
0.8558480130050728 [0.900645,0.747541]
f_measure
0.8666666666666667 [0.905759,0.772152]
f_measure
0.8381272554605887 [0.889744,0.713333]
f_measure
0.8326964871519326 [0.885457,0.706271]
f_measure
0.8694183211424591 [0.911877,0.767677]
kappa
0.6361444202030806
kappa
0.6805170518856317
kappa
0.6251753214931476
kappa
0.5676971482794786
kappa
0.5882193452179219
kappa
0.6483661457276232
kappa
0.6779110610378422
kappa
0.6035106891605766
kappa
0.5921173235563701
kappa
0.6801606922126082
kb_relative_information_score
0.4982810242314879
kb_relative_information_score
0.5185830242793967
kb_relative_information_score
0.5031796081468662
kb_relative_information_score
0.4650762943349775
kb_relative_information_score
0.4510267654122881
kb_relative_information_score
0.4984508247431666
kb_relative_information_score
0.5276065453012218
kb_relative_information_score
0.5120684403298745
kb_relative_information_score
0.49278341779010626
kb_relative_information_score
0.5478020185060779
mean_absolute_error
0.20858987119428024
mean_absolute_error
0.20207050960525963
mean_absolute_error
0.2047925540769152
mean_absolute_error
0.21823371940110514
mean_absolute_error
0.22603442108754362
mean_absolute_error
0.2086294400261654
mean_absolute_error
0.19819783591207182
mean_absolute_error
0.1989309120783075
mean_absolute_error
0.20979089915298157
mean_absolute_error
0.1893713159352412
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
0.8490040902303979 [0.894737,0.73913]
precision
0.8674222122049478 [0.907895,0.770186]
precision
0.8454976175162292 [0.878788,0.765517]
precision
0.8207466800581543 [0.868557,0.705882]
precision
0.8302737408154278 [0.870558,0.732877]
precision
0.8551151192736071 [0.888041,0.77551]
precision
0.8666666666666667 [0.905759,0.772152]
precision
0.8372344246008341 [0.871859,0.753521]
precision
0.8316954264870933 [0.868687,0.743056]
precision
0.8698121710289134 [0.88806,0.826087]
predictive_accuracy
0.8484288354898336
predictive_accuracy
0.866913123844732
predictive_accuracy
0.8484288354898336
predictive_accuracy
0.822550831792976
predictive_accuracy
0.8333333333333333
predictive_accuracy
0.8574074074074075
predictive_accuracy
0.8666666666666667
predictive_accuracy
0.8407407407407408
predictive_accuracy
0.8351851851851851
predictive_accuracy
0.8722222222222222
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
0.5027393124828421
relative_absolute_error
0.4870264720446859
relative_absolute_error
0.4935870914956335
relative_absolute_error
0.5259827307247198
relative_absolute_error
0.5454936223918608
relative_absolute_error
0.5034898155329234
relative_absolute_error
0.4783150059257138
relative_absolute_error
0.4800841540558305
relative_absolute_error
0.5053603069338823
relative_absolute_error
0.4561720586159497
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
0.32186676797693803
root_mean_squared_error
0.31270815152716225
root_mean_squared_error
0.3308093722586224
root_mean_squared_error
0.33944778699217065
root_mean_squared_error
0.34275016024093785
root_mean_squared_error
0.3207994300592966
root_mean_squared_error
0.3125394381945175
root_mean_squared_error
0.32532046094278444
root_mean_squared_error
0.33329618544240536
root_mean_squared_error
0.31370676495941086
root_relative_squared_error
0.7065502288326777
root_relative_squared_error
0.6864455669284595
root_relative_squared_error
0.7261807086777945
root_relative_squared_error
0.7451434426844858
root_relative_squared_error
0.7533732818992691
root_relative_squared_error
0.7051250370978558
root_relative_squared_error
0.6869693718306084
root_relative_squared_error
0.7150623741712123
root_relative_squared_error
0.7312438733240921
root_relative_squared_error
0.6882651524871128
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
0.8192400144884586 [0.890052,0.748428]
unweighted_recall
0.8415077875465113 [0.903141,0.779874]
unweighted_recall
0.8045539859725377 [0.910995,0.698113]
unweighted_recall
0.7807221179492245 [0.882199,0.679245]
unweighted_recall
0.7875604745178606 [0.897906,0.677215]
unweighted_recall
0.8175657763933992 [0.913613,0.721519]
unweighted_recall
0.8389555305189211 [0.905759,0.772152]
unweighted_recall
0.7927960766121015 [0.908377,0.677215]
unweighted_recall
0.7879215569751894 [0.902887,0.672956]
unweighted_recall
0.8269945030456098 [0.937008,0.716981]
usercpu_time_millis
164.5480710000129
usercpu_time_millis
281.9315119999999
usercpu_time_millis
220.06989699997348
usercpu_time_millis
181.62958199999935
usercpu_time_millis
132.0616120000011
usercpu_time_millis
139.07204299999876
usercpu_time_millis
129.60812599999372
usercpu_time_millis
208.546522000006
usercpu_time_millis
190.5208829999765
usercpu_time_millis
161.76459899998008
usercpu_time_millis_testing
5.618485000013607
usercpu_time_millis_testing
5.856631000000334
usercpu_time_millis_testing
5.4545299999801955
usercpu_time_millis_testing
5.283649999995532
usercpu_time_millis_testing
5.469365999999809
usercpu_time_millis_testing
5.249794999997448
usercpu_time_millis_testing
5.2336969999942085
usercpu_time_millis_testing
5.777326000014682
usercpu_time_millis_testing
6.056436999983816
usercpu_time_millis_testing
3.8061059999847657
usercpu_time_millis_training
158.9295859999993
usercpu_time_millis_training
276.07488099999955
usercpu_time_millis_training
214.61536699999328
usercpu_time_millis_training
176.3459320000038
usercpu_time_millis_training
126.5922460000013
usercpu_time_millis_training
133.8222480000013
usercpu_time_millis_training
124.37442899999951
usercpu_time_millis_training
202.76919599999133
usercpu_time_millis_training
184.46444599999268
usercpu_time_millis_training
157.95849299999531
wall_clock_time_millis
165.86899757385254
wall_clock_time_millis
294.3308353424072
wall_clock_time_millis
250.410795211792
wall_clock_time_millis
189.2411708831787
wall_clock_time_millis
139.33038711547852
wall_clock_time_millis
147.86314964294434
wall_clock_time_millis
131.97612762451172
wall_clock_time_millis
215.40570259094238
wall_clock_time_millis
192.8844451904297
wall_clock_time_millis
162.37807273864746
wall_clock_time_millis_testing
5.623579025268555
wall_clock_time_millis_testing
5.861759185791016
wall_clock_time_millis_testing
5.461215972900391
wall_clock_time_millis_testing
5.288362503051758
wall_clock_time_millis_testing
5.474567413330078
wall_clock_time_millis_testing
5.256175994873047
wall_clock_time_millis_testing
5.239248275756836
wall_clock_time_millis_testing
5.783796310424805
wall_clock_time_millis_testing
6.067752838134766
wall_clock_time_millis_testing
3.8118362426757812
wall_clock_time_millis_training
160.24541854858398
wall_clock_time_millis_training
288.4690761566162
wall_clock_time_millis_training
244.9495792388916
wall_clock_time_millis_training
183.95280838012695
wall_clock_time_millis_training
133.85581970214844
wall_clock_time_millis_training
142.6069736480713
wall_clock_time_millis_training
126.73687934875488
wall_clock_time_millis_training
209.62190628051758
wall_clock_time_millis_training
186.81669235229492
wall_clock_time_millis_training
158.56623649597168
weighted_recall
0.8484288354898336 [0.890052,0.748428]
weighted_recall
0.866913123844732 [0.903141,0.779874]
weighted_recall
0.8484288354898336 [0.910995,0.698113]
weighted_recall
0.822550831792976 [0.882199,0.679245]
weighted_recall
0.8333333333333334 [0.897906,0.677215]
weighted_recall
0.8574074074074074 [0.913613,0.721519]
weighted_recall
0.8666666666666667 [0.905759,0.772152]
weighted_recall
0.8407407407407408 [0.908377,0.677215]
weighted_recall
0.8351851851851851 [0.902887,0.672956]
weighted_recall
0.8722222222222222 [0.937008,0.716981]