10583952
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)
8300234
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
0.9981643185830419
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1276
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
100
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
7
19040
random_state
57313
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.346311555858054
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
22094172
description
https://api.openml.org/data/download/22094172/description.xml
-1
22094173
predictions
https://api.openml.org/data/download/22094173/predictions.arff
area_under_roc_curve
0.9191008510163248 [0.919101,0.919101]
average_cost
0
f_measure
0.8494187244951585 [0.895785,0.737801]
kappa
0.6337337158887181
kb_relative_information_score
0.5392351356835324
mean_absolute_error
0.18841294179929424
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.8508512213175425 [0.907281,0.715006]
number_of_instances
5404 [3818,1586]
precision
0.8486300936826725 [0.884576,0.762097]
predictive_accuracy
0.8508512213175426
prior_entropy
0.8731822780289229
relative_absolute_error
0.45429636629238496
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.32341211763504196
root_relative_squared_error
0.710234997524335
total_cost
0
unweighted_recall
0.8111438021398605 [0.907281,0.715006]
area_under_roc_curve
0.9303730778096084 [0.930373,0.930373]
area_under_roc_curve
0.931607889624288 [0.931608,0.931608]
area_under_roc_curve
0.9088708880766572 [0.908871,0.908871]
area_under_roc_curve
0.9088461918403635 [0.908846,0.908846]
area_under_roc_curve
0.8961577970707137 [0.896158,0.896158]
area_under_roc_curve
0.9312744383325602 [0.931274,0.931274]
area_under_roc_curve
0.9353419709722314 [0.935342,0.935342]
area_under_roc_curve
0.9258234475445689 [0.925823,0.925823]
area_under_roc_curve
0.9138893015731524 [0.913889,0.913889]
area_under_roc_curve
0.9109179748757821 [0.910918,0.910918]
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
0.8666657055024068 [0.906005,0.772152]
f_measure
0.8656123569505335 [0.906977,0.766234]
f_measure
0.8367544306413253 [0.888318,0.712871]
f_measure
0.8326899532999349 [0.883117,0.711538]
f_measure
0.825925925925926 [0.876963,0.702532]
f_measure
0.8718597600061834 [0.910039,0.779553]
f_measure
0.8754931522263609 [0.915601,0.778523]
f_measure
0.8398309408719696 [0.891165,0.715719]
f_measure
0.8453447293447293 [0.894872,0.726667]
f_measure
0.8337469236075259 [0.884565,0.711974]
kappa
0.6781624390646946
kappa
0.6733475336698924
kappa
0.6015694440917286
kappa
0.5947160765120112
kappa
0.5794949963549606
kappa
0.6896034655114962
kappa
0.6945491943777854
kappa
0.607370149866557
kappa
0.6220617606391149
kappa
0.5966767371601207
kb_relative_information_score
0.5677775837451047
kb_relative_information_score
0.562042275977294
kb_relative_information_score
0.5274924338565425
kb_relative_information_score
0.49772513913193167
kb_relative_information_score
0.4663233388517333
kb_relative_information_score
0.5709858618391555
kb_relative_information_score
0.5990247883538524
kb_relative_information_score
0.5442159038013297
kb_relative_information_score
0.5338317134002852
kb_relative_information_score
0.5229976850457393
mean_absolute_error
0.17885140220752468
mean_absolute_error
0.18049194150102335
mean_absolute_error
0.19071131470108962
mean_absolute_error
0.20379659540402778
mean_absolute_error
0.21472722506336686
mean_absolute_error
0.17851578192382234
mean_absolute_error
0.1673218268175414
mean_absolute_error
0.1844392988227719
mean_absolute_error
0.19089653965940506
mean_absolute_error
0.19437712247271224
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
0.8664451912397818 [0.903646,0.77707]
precision
0.8650007050916733 [0.895408,0.791946]
precision
0.835816917081438 [0.871537,0.75]
precision
0.8319689634338405 [0.876289,0.72549]
precision
0.825925925925926 [0.876963,0.702532]
precision
0.8715589070427779 [0.906494,0.787097]
precision
0.875563492063492 [0.895,0.828571]
precision
0.8390252621308986 [0.87218,0.758865]
precision
0.8447602457680845 [0.874687,0.77305]
precision
0.8328347578347577 [0.874359,0.733333]
predictive_accuracy
0.866913123844732
predictive_accuracy
0.866913123844732
predictive_accuracy
0.8391866913123844
predictive_accuracy
0.833641404805915
predictive_accuracy
0.825925925925926
predictive_accuracy
0.8722222222222222
predictive_accuracy
0.8777777777777778
predictive_accuracy
0.8425925925925926
predictive_accuracy
0.8481481481481481
predictive_accuracy
0.8351851851851851
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
0.4310642241044196
relative_absolute_error
0.43501822048877137
relative_absolute_error
0.4596487580464732
relative_absolute_error
0.4911866509775875
relative_absolute_error
0.5182057284125005
relative_absolute_error
0.43081589108070467
relative_absolute_error
0.4038012837901978
relative_absolute_error
0.4451112389970114
relative_absolute_error
0.4598461337664843
relative_absolute_error
0.46823042691715655
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
0.3067798883362663
root_mean_squared_error
0.3088262967809791
root_mean_squared_error
0.33880450757353664
root_mean_squared_error
0.33895625991693035
root_mean_squared_error
0.3467923298540624
root_mean_squared_error
0.30284244185943265
root_mean_squared_error
0.30068267147091804
root_mean_squared_error
0.3249243528245755
root_mean_squared_error
0.32811224670463424
root_mean_squared_error
0.33341128666247044
root_relative_squared_error
0.6734320590710469
root_relative_squared_error
0.6779242604995602
root_relative_squared_error
0.7437313390886534
root_relative_squared_error
0.7440644603164976
root_relative_squared_error
0.7622580701231242
root_relative_squared_error
0.6656551353955541
root_relative_squared_error
0.6609079069636248
root_relative_squared_error
0.7141917187853994
root_relative_squared_error
0.7198704355013612
root_relative_squared_error
0.7314964026528421
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
0.837836280417531 [0.908377,0.767296]
unweighted_recall
0.8304932661595705 [0.918848,0.742138]
unweighted_recall
0.7925022226612664 [0.905759,0.679245]
unweighted_recall
0.7940827817840561 [0.890052,0.698113]
unweighted_recall
0.7897474981774802 [0.876963,0.702532]
unweighted_recall
0.8428822320896017 [0.913613,0.772152]
unweighted_recall
0.8356749950294917 [0.937173,0.734177]
unweighted_recall
0.7941049771356616 [0.910995,0.677215]
unweighted_recall
0.8007725449413163 [0.91601,0.685535]
unweighted_recall
0.7934185113653246 [0.895013,0.691824]
usercpu_time_millis
320.1083579999704
usercpu_time_millis
337.8651859999877
usercpu_time_millis
428.7841530000378
usercpu_time_millis
303.1208779999872
usercpu_time_millis
234.7448179999958
usercpu_time_millis
271.05512299999646
usercpu_time_millis
371.9356830000038
usercpu_time_millis
227.31669499998475
usercpu_time_millis
238.52581099998815
usercpu_time_millis
312.9918910000242
usercpu_time_millis_testing
5.480389999974022
usercpu_time_millis_testing
6.254031999986864
usercpu_time_millis_testing
5.660778000020628
usercpu_time_millis_testing
5.584088999995629
usercpu_time_millis_testing
5.4999930000008135
usercpu_time_millis_testing
5.811144999995577
usercpu_time_millis_testing
6.059555999996746
usercpu_time_millis_testing
5.369473999991214
usercpu_time_millis_testing
5.470035000001872
usercpu_time_millis_testing
3.9158130000203073
usercpu_time_millis_training
314.6279679999964
usercpu_time_millis_training
331.61115400000085
usercpu_time_millis_training
423.1233750000172
usercpu_time_millis_training
297.5367889999916
usercpu_time_millis_training
229.244824999995
usercpu_time_millis_training
265.2439780000009
usercpu_time_millis_training
365.87612700000705
usercpu_time_millis_training
221.94722099999353
usercpu_time_millis_training
233.05577599998628
usercpu_time_millis_training
309.0760780000039
wall_clock_time_millis
332.8719139099121
wall_clock_time_millis
344.5165157318115
wall_clock_time_millis
447.45540618896484
wall_clock_time_millis
331.79402351379395
wall_clock_time_millis
242.0370578765869
wall_clock_time_millis
280.72047233581543
wall_clock_time_millis
376.0359287261963
wall_clock_time_millis
227.5376319885254
wall_clock_time_millis
251.68657302856445
wall_clock_time_millis
316.67613983154297
wall_clock_time_millis_testing
5.486011505126953
wall_clock_time_millis_testing
6.2580108642578125
wall_clock_time_millis_testing
5.66554069519043
wall_clock_time_millis_testing
5.597829818725586
wall_clock_time_millis_testing
5.506277084350586
wall_clock_time_millis_testing
5.822896957397461
wall_clock_time_millis_testing
6.065845489501953
wall_clock_time_millis_testing
5.375385284423828
wall_clock_time_millis_testing
5.475521087646484
wall_clock_time_millis_testing
3.921031951904297
wall_clock_time_millis_training
327.38590240478516
wall_clock_time_millis_training
338.2585048675537
wall_clock_time_millis_training
441.7898654937744
wall_clock_time_millis_training
326.19619369506836
wall_clock_time_millis_training
236.53078079223633
wall_clock_time_millis_training
274.89757537841797
wall_clock_time_millis_training
369.97008323669434
wall_clock_time_millis_training
222.16224670410156
wall_clock_time_millis_training
246.21105194091797
wall_clock_time_millis_training
312.7551078796387
weighted_recall
0.866913123844732 [0.908377,0.767296]
weighted_recall
0.866913123844732 [0.918848,0.742138]
weighted_recall
0.8391866913123844 [0.905759,0.679245]
weighted_recall
0.833641404805915 [0.890052,0.698113]
weighted_recall
0.825925925925926 [0.876963,0.702532]
weighted_recall
0.8722222222222222 [0.913613,0.772152]
weighted_recall
0.8777777777777778 [0.937173,0.734177]
weighted_recall
0.8425925925925926 [0.910995,0.677215]
weighted_recall
0.8481481481481481 [0.91601,0.685535]
weighted_recall
0.8351851851851851 [0.895013,0.691824]