10584029
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)
8300311
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
"mean"
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
0.7265526925336186
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
308
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
156
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
26048
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.2859582200632055
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
22094326
description
https://api.openml.org/data/download/22094326/description.xml
-1
22094327
predictions
https://api.openml.org/data/download/22094327/predictions.arff
area_under_roc_curve
0.9271448973700602 [0.927145,0.927145]
average_cost
0
f_measure
0.8606509319763352 [0.902933,0.758865]
kappa
0.6618673405130271
kb_relative_information_score
0.5532166547898292
mean_absolute_error
0.18479525829786303
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.8615840118430792 [0.91121,0.742119]
number_of_instances
5404 [3818,1586]
precision
0.8600500830545484 [0.894805,0.776385]
predictive_accuracy
0.8615840118430792
prior_entropy
0.8731822780289229
relative_absolute_error
0.44557350228208337
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.31232674288822626
root_relative_squared_error
0.6858907609402699
total_cost
0
unweighted_recall
0.826664297411148 [0.91121,0.742119]
area_under_roc_curve
0.9231123843392933 [0.923112,0.923112]
area_under_roc_curve
0.9349995060752742 [0.935,0.935]
area_under_roc_curve
0.9274259936119069 [0.927426,0.927426]
area_under_roc_curve
0.9288830715532286 [0.928883,0.928883]
area_under_roc_curve
0.8974087083305721 [0.897409,0.897409]
area_under_roc_curve
0.9287891841739015 [0.928789,0.928789]
area_under_roc_curve
0.9486546490821128 [0.948655,0.948655]
area_under_roc_curve
0.929120551395056 [0.929121,0.929121]
area_under_roc_curve
0.921589989930504 [0.92159,0.92159]
area_under_roc_curve
0.9333845061820103 [0.933385,0.933385]
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
0.8607112414295706 [0.902471,0.760383]
f_measure
0.8688812539719591 [0.906946,0.777429]
f_measure
0.8592710608976943 [0.903723,0.752475]
f_measure
0.8617423946200681 [0.901445,0.766355]
f_measure
0.8275843532083359 [0.881443,0.697368]
f_measure
0.8693585247989394 [0.909326,0.772727]
f_measure
0.8803774184513701 [0.914135,0.798762]
f_measure
0.852103805550659 [0.898065,0.740984]
f_measure
0.8610436637125459 [0.904639,0.756579]
f_measure
0.8645056946832599 [0.907455,0.761589]
kappa
0.6628891418316565
kappa
0.6843770285704894
kappa
0.6565253828376972
kappa
0.6678128453886775
kappa
0.5790686640005422
kappa
0.6821392532795155
kappa
0.7129538763493621
kappa
0.6392327988634058
kappa
0.6614993646759846
kappa
0.6694046222131524
kb_relative_information_score
0.5308710688289706
kb_relative_information_score
0.5654673322782766
kb_relative_information_score
0.5756251583444416
kb_relative_information_score
0.5384311711686547
kb_relative_information_score
0.4912792460847419
kb_relative_information_score
0.5625772985931486
kb_relative_information_score
0.5985387698205151
kb_relative_information_score
0.556758940594657
kb_relative_information_score
0.5407681050354407
kb_relative_information_score
0.5718421211980899
mean_absolute_error
0.19563390123809046
mean_absolute_error
0.17978464117237414
mean_absolute_error
0.17448854697875557
mean_absolute_error
0.19029028612815346
mean_absolute_error
0.20546250340055522
mean_absolute_error
0.18337648805745807
mean_absolute_error
0.16879997993521315
mean_absolute_error
0.1799863079832435
mean_absolute_error
0.19030602149600498
mean_absolute_error
0.17982202447335888
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
0.860222610405304 [0.896641,0.772727]
precision
0.8690076459943432 [0.908136,0.775]
precision
0.8587342918468924 [0.88665,0.791667]
precision
0.8621760846581491 [0.905013,0.759259]
precision
0.8264742316894462 [0.86802,0.726027]
precision
0.8687901234567901 [0.9,0.793333]
precision
0.8814554433221099 [0.922667,0.781818]
precision
0.8513246746252926 [0.885496,0.768707]
precision
0.8604869295310151 [0.888608,0.793103]
precision
0.8641489492874883 [0.889169,0.804196]
predictive_accuracy
0.8613678373382625
predictive_accuracy
0.8687615526802219
predictive_accuracy
0.8613678373382625
predictive_accuracy
0.8613678373382625
predictive_accuracy
0.8296296296296296
predictive_accuracy
0.8703703703703703
predictive_accuracy
0.8796296296296297
predictive_accuracy
0.8537037037037036
predictive_accuracy
0.8629629629629629
predictive_accuracy
0.8666666666666667
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
0.47151308183688434
relative_absolute_error
0.4333134987834073
relative_absolute_error
0.4205489539927148
relative_absolute_error
0.4586340030438374
relative_absolute_error
0.4958469807669721
relative_absolute_error
0.44254633542392435
relative_absolute_error
0.40736854179775717
relative_absolute_error
0.43436474254817475
relative_absolute_error
0.45842364860859247
relative_absolute_error
0.4331689975505652
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
0.3125863134394759
root_mean_squared_error
0.3032610527131102
root_mean_squared_error
0.3144958490336867
root_mean_squared_error
0.3131066681143596
root_mean_squared_error
0.33843231584501027
root_mean_squared_error
0.3061208237997828
root_mean_squared_error
0.2867317096910678
root_mean_squared_error
0.3208057649453152
root_mean_squared_error
0.31871335418508684
root_mean_squared_error
0.3064468253330961
root_relative_squared_error
0.6861781123873263
root_relative_squared_error
0.6657076390248505
root_relative_squared_error
0.6903698555099044
root_relative_squared_error
0.687320376054135
root_relative_squared_error
0.743882553722793
root_relative_squared_error
0.6728610995298514
root_relative_squared_error
0.6302433498578053
root_relative_squared_error
0.7051389613331266
root_relative_squared_error
0.6992494897145746
root_relative_squared_error
0.6723370182799998
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
0.8284023181533801 [0.908377,0.748428]
unweighted_recall
0.8428166880700715 [0.905759,0.779874]
unweighted_recall
0.8192235503309295 [0.921466,0.716981]
unweighted_recall
0.8357453324113405 [0.897906,0.773585]
unweighted_recall
0.7830870170322752 [0.895288,0.670886]
unweighted_recall
0.8360063622506462 [0.918848,0.753165]
unweighted_recall
0.8611074292530982 [0.905759,0.816456]
unweighted_recall
0.8130923189078136 [0.910995,0.71519]
unweighted_recall
0.8222651413856287 [0.92126,0.72327]
unweighted_recall
0.8248898133016391 [0.926509,0.72327]
usercpu_time_millis
266.147272000012
usercpu_time_millis
564.4076539999787
usercpu_time_millis
881.2865259999398
usercpu_time_millis
522.471717999963
usercpu_time_millis
588.6657010000249
usercpu_time_millis
730.0612359999832
usercpu_time_millis
474.8924139999531
usercpu_time_millis
852.4050589999774
usercpu_time_millis
527.9289309999626
usercpu_time_millis
270.449076000034
usercpu_time_millis_testing
5.598222999992686
usercpu_time_millis_testing
6.225475000007918
usercpu_time_millis_testing
6.284210999979223
usercpu_time_millis_testing
5.985983999948985
usercpu_time_millis_testing
6.6032520000476325
usercpu_time_millis_testing
6.144348000020727
usercpu_time_millis_testing
5.885106999983236
usercpu_time_millis_testing
6.423424999979943
usercpu_time_millis_testing
6.436930000006669
usercpu_time_millis_testing
4.006594000031782
usercpu_time_millis_training
260.5490490000193
usercpu_time_millis_training
558.1821789999708
usercpu_time_millis_training
875.0023149999606
usercpu_time_millis_training
516.485734000014
usercpu_time_millis_training
582.0624489999773
usercpu_time_millis_training
723.9168879999625
usercpu_time_millis_training
469.00730699996984
usercpu_time_millis_training
845.9816339999975
usercpu_time_millis_training
521.492000999956
usercpu_time_millis_training
266.4424820000022
wall_clock_time_millis
272.61877059936523
wall_clock_time_millis
578.7689685821533
wall_clock_time_millis
930.5074214935303
wall_clock_time_millis
531.8470001220703
wall_clock_time_millis
594.3424701690674
wall_clock_time_millis
755.4528713226318
wall_clock_time_millis
479.54297065734863
wall_clock_time_millis
872.1859455108643
wall_clock_time_millis
544.3055629730225
wall_clock_time_millis
272.1896171569824
wall_clock_time_millis_testing
5.603551864624023
wall_clock_time_millis_testing
6.240367889404297
wall_clock_time_millis_testing
10.840177536010742
wall_clock_time_millis_testing
5.991220474243164
wall_clock_time_millis_testing
6.597995758056641
wall_clock_time_millis_testing
6.150245666503906
wall_clock_time_millis_testing
5.986690521240234
wall_clock_time_millis_testing
6.428718566894531
wall_clock_time_millis_testing
6.44230842590332
wall_clock_time_millis_testing
4.011869430541992
wall_clock_time_millis_training
267.0152187347412
wall_clock_time_millis_training
572.528600692749
wall_clock_time_millis_training
919.6672439575195
wall_clock_time_millis_training
525.8557796478271
wall_clock_time_millis_training
587.7444744110107
wall_clock_time_millis_training
749.3026256561279
wall_clock_time_millis_training
473.5562801361084
wall_clock_time_millis_training
865.7572269439697
wall_clock_time_millis_training
537.8632545471191
wall_clock_time_millis_training
268.17774772644043
weighted_recall
0.8613678373382625 [0.908377,0.748428]
weighted_recall
0.8687615526802218 [0.905759,0.779874]
weighted_recall
0.8613678373382625 [0.921466,0.716981]
weighted_recall
0.8613678373382625 [0.897906,0.773585]
weighted_recall
0.8296296296296296 [0.895288,0.670886]
weighted_recall
0.8703703703703703 [0.918848,0.753165]
weighted_recall
0.8796296296296297 [0.905759,0.816456]
weighted_recall
0.8537037037037037 [0.910995,0.71519]
weighted_recall
0.8629629629629629 [0.92126,0.72327]
weighted_recall
0.8666666666666667 [0.926509,0.72327]