10584034
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)
8300316
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
0.21697057500133998
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
143
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
160
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
60098
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.2650875880464271
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
22094336
description
https://api.openml.org/data/download/22094336/description.xml
-1
22094337
predictions
https://api.openml.org/data/download/22094337/predictions.arff
area_under_roc_curve
0.9211867757228815 [0.921187,0.921187]
average_cost
0
f_measure
0.8498192866560902 [0.897446,0.735167]
kappa
0.6329882795500043
kb_relative_information_score
0.489146924369366
mean_absolute_error
0.21464329084252434
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.8521465581051073 [0.915663,0.699243]
number_of_instances
5404 [3818,1586]
precision
0.8491361316256542 [0.87994,0.774983]
predictive_accuracy
0.8521465581051073
prior_entropy
0.8731822780289229
relative_absolute_error
0.5175422990989232
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.31952226820293783
root_relative_squared_error
0.7016926237197205
total_cost
0
unweighted_recall
0.807453015086829 [0.915663,0.699243]
area_under_roc_curve
0.9177533010635845 [0.917753,0.917753]
area_under_roc_curve
0.9329908788567289 [0.932991,0.932991]
area_under_roc_curve
0.9133902993183839 [0.91339,0.91339]
area_under_roc_curve
0.9143040600612466 [0.914304,0.914304]
area_under_roc_curve
0.9060076877195308 [0.906008,0.906008]
area_under_roc_curve
0.9241997481609119 [0.9242,0.9242]
area_under_roc_curve
0.9420521572006098 [0.942052,0.942052]
area_under_roc_curve
0.9241251905361523 [0.924125,0.924125]
area_under_roc_curve
0.9143762690041102 [0.914376,0.914376]
area_under_roc_curve
0.9259231746975024 [0.925923,0.925923]
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
0.8380956928298925 [0.890026,0.713333]
f_measure
0.8687947836342896 [0.910026,0.769737]
f_measure
0.8456261257215254 [0.895141,0.726667]
f_measure
0.8194985163641428 [0.874189,0.688103]
f_measure
0.8500994465589787 [0.899619,0.730375]
f_measure
0.8578687518647998 [0.901809,0.751634]
f_measure
0.8768237519532855 [0.914508,0.785714]
f_measure
0.8381272554605887 [0.889744,0.713333]
f_measure
0.8511687139952357 [0.898588,0.737542]
f_measure
0.8518651226393865 [0.900763,0.734694]
kappa
0.6039059440499907
kappa
0.6800277134697603
kappa
0.6223289233965027
kappa
0.5623816870283116
kappa
0.6308411214953271
kappa
0.6535890336957256
kappa
0.7003027245206861
kappa
0.6035106891605766
kappa
0.6365773870374157
kappa
0.6363636363636362
kb_relative_information_score
0.4856230203192686
kb_relative_information_score
0.49893514366701297
kb_relative_information_score
0.48661668443036776
kb_relative_information_score
0.4649139069788192
kb_relative_information_score
0.4491843826839972
kb_relative_information_score
0.4895151151968147
kb_relative_information_score
0.5340685899904863
kb_relative_information_score
0.48710904725552995
kb_relative_information_score
0.49515732260954837
kb_relative_information_score
0.5003766227848221
mean_absolute_error
0.21658098042228235
mean_absolute_error
0.2127152224091552
mean_absolute_error
0.2131202600882671
mean_absolute_error
0.22114563103710114
mean_absolute_error
0.2320924802165619
mean_absolute_error
0.2154277123266177
mean_absolute_error
0.20019057703854576
mean_absolute_error
0.21321528923786826
mean_absolute_error
0.21011767010709964
mean_absolute_error
0.21181784678139096
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
0.8373374759114327 [0.87,0.758865]
precision
0.8683574865230802 [0.893939,0.806897]
precision
0.8450367719353443 [0.875,0.77305]
precision
0.8186014126187843 [0.866324,0.703947]
precision
0.8502331961591222 [0.874074,0.792593]
precision
0.8571614982329268 [0.890306,0.777027]
precision
0.8763190883190882 [0.905128,0.806667]
precision
0.8372344246008341 [0.871859,0.753521]
precision
0.8506277475011993 [0.879397,0.78169]
precision
0.8522633744855967 [0.874074,0.8]
predictive_accuracy
0.8410351201478743
predictive_accuracy
0.8706099815157117
predictive_accuracy
0.8484288354898336
predictive_accuracy
0.8207024029574862
predictive_accuracy
0.8537037037037036
predictive_accuracy
0.8592592592592593
predictive_accuracy
0.8777777777777778
predictive_accuracy
0.8407407407407408
predictive_accuracy
0.8537037037037036
predictive_accuracy
0.8555555555555556
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
0.5219993308924572
relative_absolute_error
0.5126821549691141
relative_absolute_error
0.5136583690257243
relative_absolute_error
0.5330009643786824
relative_absolute_error
0.5601136639016997
relative_absolute_error
0.5198962290576303
relative_absolute_error
0.48312412999778814
relative_absolute_error
0.5145569418856207
relative_absolute_error
0.5061474577127623
relative_absolute_error
0.5102429728634702
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
0.32053430450403503
root_mean_squared_error
0.310276810959659
root_mean_squared_error
0.32683330717729103
root_mean_squared_error
0.3298339500916347
root_mean_squared_error
0.3289215600497558
root_mean_squared_error
0.31514097841544003
root_mean_squared_error
0.29692723381172537
root_mean_squared_error
0.3199151401508642
root_mean_squared_error
0.3279272513579788
root_mean_squared_error
0.3174237797451967
root_relative_squared_error
0.7036252534535536
root_relative_squared_error
0.6811083764967256
root_relative_squared_error
0.7174525951458329
root_relative_squared_error
0.72403949739455
root_relative_squared_error
0.722977678574736
root_relative_squared_error
0.6926876212191765
root_relative_squared_error
0.6526533626264748
root_relative_squared_error
0.7031813461306574
root_relative_squared_error
0.7194645601276132
root_relative_squared_error
0.6964201941823939
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
0.7919753696203364 [0.910995,0.672956]
unweighted_recall
0.8312753136422009 [0.926702,0.735849]
unweighted_recall
0.8008824788435576 [0.91623,0.685535]
unweighted_recall
0.7775774638611742 [0.882199,0.672956]
unweighted_recall
0.8019583802770229 [0.926702,0.677215]
unweighted_recall
0.8207303333554246 [0.913613,0.727848]
unweighted_recall
0.8449532772218171 [0.924084,0.765823]
unweighted_recall
0.7927960766121015 [0.908377,0.677215]
unweighted_recall
0.8083741890754221 [0.918635,0.698113]
unweighted_recall
0.8041895706432922 [0.929134,0.679245]
usercpu_time_millis
422.3709570000551
usercpu_time_millis
499.2546020000077
usercpu_time_millis
568.8201799999888
usercpu_time_millis
467.0137089999571
usercpu_time_millis
311.0915600000226
usercpu_time_millis
412.2831880000035
usercpu_time_millis
400.059079000016
usercpu_time_millis
363.9631339999596
usercpu_time_millis
573.642097000004
usercpu_time_millis
413.97757300001103
usercpu_time_millis_testing
5.800383000007514
usercpu_time_millis_testing
6.533423000007588
usercpu_time_millis_testing
6.499386000029972
usercpu_time_millis_testing
6.265097999971658
usercpu_time_millis_testing
5.405035000023872
usercpu_time_millis_testing
6.092729999977564
usercpu_time_millis_testing
5.708446000028289
usercpu_time_millis_testing
5.538688000001457
usercpu_time_millis_testing
4.242099000009603
usercpu_time_millis_testing
5.923089000020809
usercpu_time_millis_training
416.5705740000476
usercpu_time_millis_training
492.7211790000001
usercpu_time_millis_training
562.3207939999588
usercpu_time_millis_training
460.74861099998543
usercpu_time_millis_training
305.6865249999987
usercpu_time_millis_training
406.19045800002596
usercpu_time_millis_training
394.35063299998774
usercpu_time_millis_training
358.42444599995815
usercpu_time_millis_training
569.3999979999944
usercpu_time_millis_training
408.0544839999902
wall_clock_time_millis
430.56464195251465
wall_clock_time_millis
521.87180519104
wall_clock_time_millis
589.3104076385498
wall_clock_time_millis
478.9848327636719
wall_clock_time_millis
313.60363960266113
wall_clock_time_millis
418.6265468597412
wall_clock_time_millis
410.42184829711914
wall_clock_time_millis
368.1769371032715
wall_clock_time_millis
582.4651718139648
wall_clock_time_millis
426.3641834259033
wall_clock_time_millis_testing
6.088018417358398
wall_clock_time_millis_testing
6.627082824707031
wall_clock_time_millis_testing
6.504535675048828
wall_clock_time_millis_testing
6.270885467529297
wall_clock_time_millis_testing
5.410671234130859
wall_clock_time_millis_testing
6.090879440307617
wall_clock_time_millis_testing
5.737543106079102
wall_clock_time_millis_testing
5.544185638427734
wall_clock_time_millis_testing
4.391908645629883
wall_clock_time_millis_testing
5.9299468994140625
wall_clock_time_millis_training
424.47662353515625
wall_clock_time_millis_training
515.244722366333
wall_clock_time_millis_training
582.805871963501
wall_clock_time_millis_training
472.7139472961426
wall_clock_time_millis_training
308.1929683685303
wall_clock_time_millis_training
412.5356674194336
wall_clock_time_millis_training
404.68430519104004
wall_clock_time_millis_training
362.63275146484375
wall_clock_time_millis_training
578.073263168335
wall_clock_time_millis_training
420.43423652648926
weighted_recall
0.8410351201478743 [0.910995,0.672956]
weighted_recall
0.8706099815157117 [0.926702,0.735849]
weighted_recall
0.8484288354898336 [0.91623,0.685535]
weighted_recall
0.8207024029574861 [0.882199,0.672956]
weighted_recall
0.8537037037037037 [0.926702,0.677215]
weighted_recall
0.8592592592592593 [0.913613,0.727848]
weighted_recall
0.8777777777777778 [0.924084,0.765823]
weighted_recall
0.8407407407407408 [0.908377,0.677215]
weighted_recall
0.8537037037037037 [0.918635,0.698113]
weighted_recall
0.8555555555555555 [0.929134,0.679245]