10584045
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)
8300327
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
"median"
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
0.9675120500164444
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
518
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
161
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
15
19040
random_state
53031
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.3804267041354585
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
22094358
description
https://api.openml.org/data/download/22094358/description.xml
-1
22094359
predictions
https://api.openml.org/data/download/22094359/predictions.arff
area_under_roc_curve
0.9208313048234386 [0.920831,0.920831]
average_cost
0
f_measure
0.857256163452059 [0.899726,0.755018]
kappa
0.6547593095977083
kb_relative_information_score
0.5542914072758051
mean_absolute_error
0.18297369619227713
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.8576980014803849 [0.903614,0.747163]
number_of_instances
5404 [3818,1586]
precision
0.8568868516886552 [0.895871,0.763039]
predictive_accuracy
0.8576980014803849
prior_entropy
0.8731822780289229
relative_absolute_error
0.4411813992893648
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.3190613287434695
root_relative_squared_error
0.7006803693297232
total_cost
0
unweighted_recall
0.8253885656117534 [0.903614,0.747163]
area_under_roc_curve
0.9235239882775198 [0.923524,0.923524]
area_under_roc_curve
0.9278046692350752 [0.927805,0.927805]
area_under_roc_curve
0.9134149955546773 [0.913415,0.913415]
area_under_roc_curve
0.9173170008890645 [0.917317,0.917317]
area_under_roc_curve
0.904549671946451 [0.90455,0.90455]
area_under_roc_curve
0.9295016236993836 [0.929502,0.929502]
area_under_roc_curve
0.9313241434157333 [0.931324,0.931324]
area_under_roc_curve
0.9281761548147657 [0.928176,0.928176]
area_under_roc_curve
0.9111078096370029 [0.911108,0.911108]
area_under_roc_curve
0.930223344723419 [0.930223,0.930223]
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
0.8529096451930644 [0.894459,0.753086]
f_measure
0.8531576980937969 [0.89418,0.754601]
f_measure
0.8442599740601149 [0.893453,0.726073]
f_measure
0.8452877754137816 [0.889474,0.73913]
f_measure
0.854128455861242 [0.899225,0.745098]
f_measure
0.8735947886989555 [0.911458,0.782051]
f_measure
0.8819103313840154 [0.915789,0.8]
f_measure
0.8560782163742691 [0.897368,0.75625]
f_measure
0.8486910203619054 [0.894942,0.737864]
f_measure
0.8618483687449205 [0.906769,0.754209]
kappa
0.6475971794746527
kappa
0.6488723024501055
kappa
0.6198880903403847
kappa
0.62862839958159
kappa
0.6444729556350867
kappa
0.6935300794551646
kappa
0.7158081705150978
kappa
0.6536412078152751
kappa
0.6329305135951662
kappa
0.661619283065513
kb_relative_information_score
0.5564248595157885
kb_relative_information_score
0.5486874393022757
kb_relative_information_score
0.5405645073102955
kb_relative_information_score
0.524509292075819
kb_relative_information_score
0.5412877834858651
kb_relative_information_score
0.5785639589322793
kb_relative_information_score
0.5696932816208846
kb_relative_information_score
0.5716390975425579
kb_relative_information_score
0.5375725510282894
kb_relative_information_score
0.5741392923304448
mean_absolute_error
0.18275596470017413
mean_absolute_error
0.1865182646986194
mean_absolute_error
0.18748558780361632
mean_absolute_error
0.19605434667441765
mean_absolute_error
0.18682151475781508
mean_absolute_error
0.1740953409297575
mean_absolute_error
0.17966784550467388
mean_absolute_error
0.17289985206975597
mean_absolute_error
0.18822620323333436
mean_absolute_error
0.1751733019596678
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
0.8539246041251783 [0.901596,0.739394]
precision
0.8545983936325359 [0.903743,0.736527]
precision
0.8434560420032561 [0.876574,0.763889]
precision
0.845945423619125 [0.89418,0.730061]
precision
0.8533799105227676 [0.887755,0.77027]
precision
0.8732257188215736 [0.906736,0.792208]
precision
0.8824482330655169 [0.920635,0.790123]
precision
0.8567052060879222 [0.902116,0.746914]
precision
0.847923076923077 [0.884615,0.76]
precision
0.8620346335953085 [0.883085,0.811594]
predictive_accuracy
0.8521256931608133
predictive_accuracy
0.8521256931608133
predictive_accuracy
0.8465804066543439
predictive_accuracy
0.844731977818854
predictive_accuracy
0.8555555555555556
predictive_accuracy
0.874074074074074
predictive_accuracy
0.8814814814814815
predictive_accuracy
0.8555555555555556
predictive_accuracy
0.85
predictive_accuracy
0.8648148148148148
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
0.44047492584109477
relative_absolute_error
0.4495427492389571
relative_absolute_error
0.45187417285972314
relative_absolute_error
0.47252643137483397
relative_absolute_error
0.4508602908160838
relative_absolute_error
0.42014794785851733
relative_absolute_error
0.4335961903507042
relative_absolute_error
0.4172628494490198
relative_absolute_error
0.4534136238657009
relative_absolute_error
0.4219708004607273
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
0.31658688021825865
root_mean_squared_error
0.31188971778518554
root_mean_squared_error
0.32957664413266297
root_mean_squared_error
0.32585832189241015
root_mean_squared_error
0.32820464844537456
root_mean_squared_error
0.30653714835081486
root_mean_squared_error
0.30385365146440585
root_mean_squared_error
0.32078089006018445
root_mean_squared_error
0.33520251169781606
root_mean_squared_error
0.3105052984532936
root_relative_squared_error
0.694960011154868
root_relative_squared_error
0.6846489709290878
root_relative_squared_error
0.7234746687067853
root_relative_squared_error
0.7153123428903082
root_relative_squared_error
0.721401889236389
root_relative_squared_error
0.6737761911322181
root_relative_squared_error
0.6678777989772463
root_relative_squared_error
0.7050842857238295
root_relative_squared_error
0.7354263076144085
root_relative_squared_error
0.68124121140857
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
0.8273650762290494 [0.887435,0.767296]
unweighted_recall
0.8292008297935395 [0.884817,0.773585]
unweighted_recall
0.8014093318844875 [0.910995,0.691824]
unweighted_recall
0.8166222134413381 [0.884817,0.748428]
unweighted_recall
0.816256875869839 [0.910995,0.721519]
unweighted_recall
0.8441911326131619 [0.91623,0.772152]
unweighted_recall
0.8605606733381934 [0.910995,0.810127]
unweighted_recall
0.8292464709390948 [0.89267,0.765823]
unweighted_recall
0.8112464715495469 [0.905512,0.716981]
unweighted_recall
0.8180805229534986 [0.931759,0.704403]
usercpu_time_millis
375.1654360000316
usercpu_time_millis
288.4049470000605
usercpu_time_millis
372.9173340000216
usercpu_time_millis
417.7046919999725
usercpu_time_millis
559.0964859999872
usercpu_time_millis
520.6088819999763
usercpu_time_millis
284.2505469999992
usercpu_time_millis
814.0911069999675
usercpu_time_millis
433.8522850000004
usercpu_time_millis
237.84338499996238
usercpu_time_millis_testing
6.461860999991131
usercpu_time_millis_testing
5.69954900004177
usercpu_time_millis_testing
5.757490000007692
usercpu_time_millis_testing
6.006717999980538
usercpu_time_millis_testing
6.94073799996886
usercpu_time_millis_testing
6.556107999983851
usercpu_time_millis_testing
5.635202999997091
usercpu_time_millis_testing
6.863588999976855
usercpu_time_millis_testing
6.362207999984548
usercpu_time_millis_testing
4.047647999982473
usercpu_time_millis_training
368.7035750000405
usercpu_time_millis_training
282.7053980000187
usercpu_time_millis_training
367.1598440000139
usercpu_time_millis_training
411.697973999992
usercpu_time_millis_training
552.1557480000183
usercpu_time_millis_training
514.0527739999925
usercpu_time_millis_training
278.6153440000021
usercpu_time_millis_training
807.2275179999906
usercpu_time_millis_training
427.49007700001584
usercpu_time_millis_training
233.7957369999799
wall_clock_time_millis
395.85351943969727
wall_clock_time_millis
291.6438579559326
wall_clock_time_millis
383.5155963897705
wall_clock_time_millis
424.47447776794434
wall_clock_time_millis
580.2156925201416
wall_clock_time_millis
536.7224216461182
wall_clock_time_millis
294.28720474243164
wall_clock_time_millis
850.074052810669
wall_clock_time_millis
435.6536865234375
wall_clock_time_millis
250.60606002807617
wall_clock_time_millis_testing
6.477832794189453
wall_clock_time_millis_testing
5.704402923583984
wall_clock_time_millis_testing
5.778789520263672
wall_clock_time_millis_testing
6.012439727783203
wall_clock_time_millis_testing
6.963253021240234
wall_clock_time_millis_testing
7.671594619750977
wall_clock_time_millis_testing
5.640983581542969
wall_clock_time_millis_testing
6.868839263916016
wall_clock_time_millis_testing
6.367921829223633
wall_clock_time_millis_testing
4.0531158447265625
wall_clock_time_millis_training
389.3756866455078
wall_clock_time_millis_training
285.93945503234863
wall_clock_time_millis_training
377.73680686950684
wall_clock_time_millis_training
418.46203804016113
wall_clock_time_millis_training
573.2524394989014
wall_clock_time_millis_training
529.0508270263672
wall_clock_time_millis_training
288.6462211608887
wall_clock_time_millis_training
843.2052135467529
wall_clock_time_millis_training
429.28576469421387
wall_clock_time_millis_training
246.5529441833496
weighted_recall
0.8521256931608133 [0.887435,0.767296]
weighted_recall
0.8521256931608133 [0.884817,0.773585]
weighted_recall
0.8465804066543438 [0.910995,0.691824]
weighted_recall
0.844731977818854 [0.884817,0.748428]
weighted_recall
0.8555555555555555 [0.910995,0.721519]
weighted_recall
0.8740740740740741 [0.91623,0.772152]
weighted_recall
0.8814814814814815 [0.910995,0.810127]
weighted_recall
0.8555555555555555 [0.89267,0.765823]
weighted_recall
0.85 [0.905512,0.716981]
weighted_recall
0.8648148148148148 [0.931759,0.704403]