10586579
28997
Marc Boel
9977
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)
8302861
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
0.8940943653093533
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
691
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
78
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
18
19040
random_state
27239
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.15090842951642133
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
22099429
description
https://api.openml.org/data/download/22099429/description.xml
-1
22099430
predictions
https://api.openml.org/data/download/22099430/predictions.arff
area_under_roc_curve
0.9928065383443808 [0.992807,0.992807]
average_cost
0
f_measure
0.9651887548478023 [0.938853,0.975719]
kappa
0.9145719204931322
kb_relative_information_score
0.8861586702260474
mean_absolute_error
0.04628774887252106
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9652400986508052 [0.934275,0.977621]
number_of_instances
34465 [9844,24621]
precision
0.9651555660078515 [0.943476,0.973824]
predictive_accuracy
0.9652400986508052
prior_entropy
0.8629999933345911
relative_absolute_error
0.11342522799754137
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.16289494467784893
root_relative_squared_error
0.36061786893296094
total_cost
0
unweighted_recall
0.955947707679135 [0.934275,0.977621]
area_under_roc_curve
0.9935154101845525 [0.993515,0.993515]
area_under_roc_curve
0.9939812046662571 [0.993981,0.993981]
area_under_roc_curve
0.9904227506834853 [0.990423,0.990423]
area_under_roc_curve
0.9936228644946332 [0.993623,0.993623]
area_under_roc_curve
0.9931082401745104 [0.993108,0.993108]
area_under_roc_curve
0.992477734738761 [0.992478,0.992478]
area_under_roc_curve
0.9925148847853222 [0.992515,0.992515]
area_under_roc_curve
0.994224406094589 [0.994224,0.994224]
area_under_roc_curve
0.9919130540310277 [0.991913,0.991913]
area_under_roc_curve
0.992506010051977 [0.992506,0.992506]
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
0.9654078788732277 [0.93913,0.975906]
f_measure
0.9642674643386134 [0.937277,0.975066]
f_measure
0.960484734678883 [0.930612,0.972436]
f_measure
0.9669075412584852 [0.942014,0.976867]
f_measure
0.9643438304313017 [0.937722,0.974995]
f_measure
0.9665504939720818 [0.941116,0.976716]
f_measure
0.9634691319934121 [0.93617,0.97438]
f_measure
0.9688578336717841 [0.9451,0.978353]
f_measure
0.968039676002604 [0.943878,0.977697]
f_measure
0.9635609923530998 [0.935534,0.974763]
kappa
0.9150379756903385
kappa
0.9123435163444286
kappa
0.9030494046991234
kappa
0.9188812591965043
kappa
0.9127166612626801
kappa
0.9178340824449942
kappa
0.9105503736647327
kappa
0.9234561463309928
kappa
0.9215747450237846
kappa
0.9103044048814394
kb_relative_information_score
0.887334626469069
kb_relative_information_score
0.8854752225957762
kb_relative_information_score
0.8739099195225034
kb_relative_information_score
0.8888020748765125
kb_relative_information_score
0.8842786801239345
kb_relative_information_score
0.8881032062273819
kb_relative_information_score
0.8832827545885131
kb_relative_information_score
0.8944466361621735
kb_relative_information_score
0.8912409839610447
kb_relative_information_score
0.8847198037459892
mean_absolute_error
0.04559142950362991
mean_absolute_error
0.0467321911168885
mean_absolute_error
0.05122852600150499
mean_absolute_error
0.045678837181180154
mean_absolute_error
0.047096613371378514
mean_absolute_error
0.04532872059850506
mean_absolute_error
0.0469065650685927
mean_absolute_error
0.04311084711410308
mean_absolute_error
0.044450447005627794
mean_absolute_error
0.04675189306014296
mean_prior_absolute_error
0.4080229059806574
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
number_of_instances
3447 [984,2463]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
precision
0.965371902785322 [0.945417,0.973344]
precision
0.9642340509871131 [0.941598,0.97329]
precision
0.9604436186821038 [0.935385,0.970469]
precision
0.9668904672418774 [0.943935,0.976075]
precision
0.9643757375117978 [0.935354,0.975987]
precision
0.9665175935891058 [0.9484,0.973759]
precision
0.9635094080660012 [0.933333,0.97557]
precision
0.9688381153522218 [0.954404,0.974607]
precision
0.9680130761260951 [0.947746,0.976113]
precision
0.9635632140205047 [0.949738,0.969089]
predictive_accuracy
0.9654772265738323
predictive_accuracy
0.9643167972149694
predictive_accuracy
0.9605454017986655
predictive_accuracy
0.9669277632724108
predictive_accuracy
0.9643167972149694
predictive_accuracy
0.9666279744631457
predictive_accuracy
0.963435867672664
predictive_accuracy
0.9689495066744052
predictive_accuracy
0.9680789320951828
predictive_accuracy
0.9637260591990714
prior_entropy
0.862791736866817
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
relative_absolute_error
0.1117374265889651
relative_absolute_error
0.11449835149892076
relative_absolute_error
0.1255148033230602
relative_absolute_error
0.11191753330270483
relative_absolute_error
0.11539122098334662
relative_absolute_error
0.11108389922002088
relative_absolute_error
0.11495061140130099
relative_absolute_error
0.10564871306495012
relative_absolute_error
0.10893157605734151
relative_absolute_error
0.11457156761687626
root_mean_prior_squared_error
0.4516359481339797
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_squared_error
0.16037118395634564
root_mean_squared_error
0.1617242418644205
root_mean_squared_error
0.1730615864604089
root_mean_squared_error
0.1600520965438515
root_mean_squared_error
0.16616483760419062
root_mean_squared_error
0.16281471980491952
root_mean_squared_error
0.1648780949134126
root_mean_squared_error
0.1552556132272636
root_mean_squared_error
0.1592818825966255
root_mean_squared_error
0.16470309867408525
root_relative_squared_error
0.35508950210661894
root_relative_squared_error
0.357976281452371
root_relative_squared_error
0.3830714707278195
root_relative_squared_error
0.3542749911757587
root_relative_squared_error
0.36780553111853287
root_relative_squared_error
0.36046853183458133
root_relative_squared_error
0.3650368030380309
root_relative_squared_error
0.34373282112431164
root_relative_squared_error
0.3526469009451251
root_relative_squared_error
0.36464936486571764
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
0.9557041779309389 [0.932927,0.978482]
unweighted_recall
0.9549215074204043 [0.932995,0.976848]
unweighted_recall
0.950149686400805 [0.925888,0.974411]
unweighted_recall
0.9588809807551947 [0.940102,0.97766]
unweighted_recall
0.9570531984643742 [0.940102,0.974005]
unweighted_recall
0.9568171986553334 [0.933943,0.979691]
unweighted_recall
0.956108458322601 [0.939024,0.973193]
unweighted_recall
0.9590519803451487 [0.935976,0.982128]
unweighted_recall
0.959662892221936 [0.940041,0.979285]
unweighted_recall
0.9511258115221282 [0.921748,0.980504]
usercpu_time_millis
31224.124779000704
usercpu_time_millis
25902.700349000952
usercpu_time_millis
25020.72819299792
usercpu_time_millis
31467.36065499499
usercpu_time_millis
25381.002338002872
usercpu_time_millis
35413.492117000715
usercpu_time_millis
31356.144084002153
usercpu_time_millis
25941.84197499999
usercpu_time_millis
34791.117243999906
usercpu_time_millis
21745.238987001358
usercpu_time_millis_testing
74.04549599959864
usercpu_time_millis_testing
73.91699000072549
usercpu_time_millis_testing
72.65155599816353
usercpu_time_millis_testing
75.79065299796639
usercpu_time_millis_testing
71.1830979998922
usercpu_time_millis_testing
70.04489099927014
usercpu_time_millis_testing
74.1423700019368
usercpu_time_millis_testing
73.92588299990166
usercpu_time_millis_testing
73.51438299883739
usercpu_time_millis_testing
40.110742000251776
usercpu_time_millis_training
31150.079283001105
usercpu_time_millis_training
25828.783359000226
usercpu_time_millis_training
24948.07663699976
usercpu_time_millis_training
31391.570001997025
usercpu_time_millis_training
25309.81924000298
usercpu_time_millis_training
35343.447226001445
usercpu_time_millis_training
31282.001714000216
usercpu_time_millis_training
25867.916092000087
usercpu_time_millis_training
34717.60286100107
usercpu_time_millis_training
21705.128245001106
wall_clock_time_millis
31692.73853302002
wall_clock_time_millis
26408.15496444702
wall_clock_time_millis
25355.042934417725
wall_clock_time_millis
32054.81266975403
wall_clock_time_millis
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wall_clock_time_millis
36087.96429634094
wall_clock_time_millis
31818.732023239136
wall_clock_time_millis
26373.01754951477
wall_clock_time_millis
35319.69404220581
wall_clock_time_millis
22073.299646377563
wall_clock_time_millis_testing
74.23901557922363
wall_clock_time_millis_testing
73.96841049194336
wall_clock_time_millis_testing
72.72720336914062
wall_clock_time_millis_testing
75.87814331054688
wall_clock_time_millis_testing
71.36178016662598
wall_clock_time_millis_testing
70.24693489074707
wall_clock_time_millis_testing
74.30863380432129
wall_clock_time_millis_testing
74.41401481628418
wall_clock_time_millis_testing
74.71513748168945
wall_clock_time_millis_testing
40.18545150756836
wall_clock_time_millis_training
31618.499517440796
wall_clock_time_millis_training
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wall_clock_time_millis_training
25282.315731048584
wall_clock_time_millis_training
31978.93452644348
wall_clock_time_millis_training
25725.31509399414
wall_clock_time_millis_training
36017.717361450195
wall_clock_time_millis_training
31744.423389434814
wall_clock_time_millis_training
26298.603534698486
wall_clock_time_millis_training
35244.97890472412
wall_clock_time_millis_training
22033.114194869995
weighted_recall
0.9654772265738323 [0.932927,0.978482]
weighted_recall
0.9643167972149695 [0.932995,0.976848]
weighted_recall
0.9605454017986655 [0.925888,0.974411]
weighted_recall
0.9669277632724108 [0.940102,0.97766]
weighted_recall
0.9643167972149695 [0.940102,0.974005]
weighted_recall
0.9666279744631456 [0.933943,0.979691]
weighted_recall
0.963435867672664 [0.939024,0.973193]
weighted_recall
0.9689495066744052 [0.935976,0.982128]
weighted_recall
0.9680789320951828 [0.940041,0.979285]
weighted_recall
0.9637260591990714 [0.921748,0.980504]