10586522
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)
8302804
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
0.8673381396603355
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1704
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
89
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
43116
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.14107607465601446
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
22099314
description
https://api.openml.org/data/download/22099314/description.xml
-1
22099315
predictions
https://api.openml.org/data/download/22099315/predictions.arff
area_under_roc_curve
0.9935403694407874 [0.99354,0.99354]
average_cost
0
f_measure
0.9657973769954635 [0.939915,0.976146]
kappa
0.9160617087164548
kb_relative_information_score
0.8892789448474425
mean_absolute_error
0.044999114031062666
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9658494124474104 [0.935189,0.978108]
number_of_instances
34465 [9844,24621]
precision
0.9657646704176179 [0.94469,0.974191]
predictive_accuracy
0.9658494124474104
prior_entropy
0.8629999933345911
relative_absolute_error
0.11026750907064917
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.16054312512015712
root_relative_squared_error
0.35541139577514164
total_cost
0
unweighted_recall
0.9566485333338086 [0.935189,0.978108]
area_under_roc_curve
0.9925010067701164 [0.992501,0.992501]
area_under_roc_curve
0.9944772728209907 [0.994477,0.994477]
area_under_roc_curve
0.9926088731459298 [0.992609,0.992609]
area_under_roc_curve
0.9942962471186398 [0.994296,0.994296]
area_under_roc_curve
0.9941737764270722 [0.994174,0.994174]
area_under_roc_curve
0.9934075178485334 [0.993408,0.993408]
area_under_roc_curve
0.9934277439849947 [0.993428,0.993428]
area_under_roc_curve
0.9956311545243802 [0.995631,0.995631]
area_under_roc_curve
0.992199728556993 [0.9922,0.9922]
area_under_roc_curve
0.9928839085811654 [0.992884,0.992884]
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
0.9645413417534854 [0.937628,0.975294]
f_measure
0.964585263452063 [0.937945,0.975244]
f_measure
0.9617521125342257 [0.933266,0.973149]
f_measure
0.970068353393612 [0.947422,0.979129]
f_measure
0.9642785023566707 [0.937341,0.975056]
f_measure
0.9660005718552704 [0.940276,0.976282]
f_measure
0.9648814645285055 [0.938485,0.975431]
f_measure
0.9697261970642962 [0.946612,0.978964]
f_measure
0.9660005718552704 [0.940276,0.976282]
f_measure
0.966157310687029 [0.940021,0.976603]
kappa
0.9129227512280937
kappa
0.9131887159822238
kappa
0.9064154426736893
kappa
0.926551746180563
kappa
0.9123970179765656
kappa
0.9165585314639292
kappa
0.9139164835092238
kappa
0.9255794018509628
kappa
0.9165585314639292
kappa
0.9166342020503178
kb_relative_information_score
0.8832161753580998
kb_relative_information_score
0.8857787482852559
kb_relative_information_score
0.8751212832388683
kb_relative_information_score
0.8956135106937372
kb_relative_information_score
0.892535010935983
kb_relative_information_score
0.8922539603060027
kb_relative_information_score
0.8898361329497207
kb_relative_information_score
0.9019718014681382
kb_relative_information_score
0.8871698931831937
kb_relative_information_score
0.8892988258751519
mean_absolute_error
0.047818723581994516
mean_absolute_error
0.04653512571899445
mean_absolute_error
0.05032317633672412
mean_absolute_error
0.0432260293583693
mean_absolute_error
0.04333437352737945
mean_absolute_error
0.04335938119729448
mean_absolute_error
0.04436077627639778
mean_absolute_error
0.039917926641063105
mean_absolute_error
0.04574625340145868
mean_absolute_error
0.045367562936546146
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
0.9645041590191963 [0.943416,0.972929]
precision
0.9645667591920355 [0.939857,0.974453]
precision
0.9618108003028806 [0.929507,0.974735]
precision
0.9700417844577426 [0.952772,0.976951]
precision
0.9642498265771242 [0.940695,0.973674]
precision
0.9659695299529636 [0.944615,0.974504]
precision
0.9648762997402746 [0.938962,0.975233]
precision
0.9697121961127416 [0.956432,0.97502]
precision
0.9659695299529636 [0.944615,0.974504]
precision
0.9662084347633001 [0.956842,0.969952]
predictive_accuracy
0.9646069045546852
predictive_accuracy
0.9646069045546852
predictive_accuracy
0.9617058311575284
predictive_accuracy
0.9701189440092834
predictive_accuracy
0.9643167972149694
predictive_accuracy
0.9660475914103308
predictive_accuracy
0.9648868253047012
predictive_accuracy
0.9698200812536274
predictive_accuracy
0.9660475914103308
predictive_accuracy
0.9663377829367383
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
0.11719617423699588
relative_absolute_error
0.11401552236857013
relative_absolute_error
0.1232966097894373
relative_absolute_error
0.10590791882618596
relative_absolute_error
0.10617337243428139
relative_absolute_error
0.10625777801726832
relative_absolute_error
0.10871182632434108
relative_absolute_error
0.09782404801017662
relative_absolute_error
0.11210711741793053
relative_absolute_error
0.11117908739889414
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
0.16288104473946352
root_mean_squared_error
0.16223088421852694
root_mean_squared_error
0.1713529998495475
root_mean_squared_error
0.15322549317144896
root_mean_squared_error
0.1621818002897064
root_mean_squared_error
0.15941323221291276
root_mean_squared_error
0.16089298930684306
root_mean_squared_error
0.15070001468739946
root_mean_squared_error
0.16268400810746297
root_mean_squared_error
0.15897294640724932
root_relative_squared_error
0.36064676740732815
root_relative_squared_error
0.3590977332759098
root_relative_squared_error
0.37928951772903396
root_relative_squared_error
0.33916431845267014
root_relative_squared_error
0.35898908609898894
root_relative_squared_error
0.35293770636736715
root_relative_squared_error
0.3562138589643804
root_relative_squared_error
0.3336468171115284
root_relative_squared_error
0.3601791387518661
root_relative_squared_error
0.35196292240345245
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
0.9547900389174415 [0.931911,0.97767]
unweighted_recall
0.9560381762175938 [0.936041,0.976036]
unweighted_recall
0.9543118342975667 [0.937056,0.971568]
unweighted_recall
0.9617239914724112 [0.942132,0.981316]
unweighted_recall
0.9552260347124001 [0.93401,0.976442]
unweighted_recall
0.9570211111331259 [0.935976,0.978067]
unweighted_recall
0.956818849768514 [0.938008,0.97563]
unweighted_recall
0.9599662842688541 [0.936992,0.982941]
unweighted_recall
0.9570211111331259 [0.935976,0.978067]
unweighted_recall
0.9535636801331457 [0.92378,0.983347]
usercpu_time_millis
24693.52770199839
usercpu_time_millis
29946.130037998955
usercpu_time_millis
28836.403335997602
usercpu_time_millis
32538.71305299981
usercpu_time_millis
35419.251063001866
usercpu_time_millis
35529.83486000085
usercpu_time_millis
32507.389206999505
usercpu_time_millis
37145.51555900107
usercpu_time_millis
31175.043680999806
usercpu_time_millis
26142.43465799882
usercpu_time_millis_testing
70.9995759971207
usercpu_time_millis_testing
75.05874799971934
usercpu_time_millis_testing
77.39099099853775
usercpu_time_millis_testing
72.8225470011239
usercpu_time_millis_testing
74.18513000084204
usercpu_time_millis_testing
71.69867400079966
usercpu_time_millis_testing
78.40470199880656
usercpu_time_millis_testing
72.14374800241785
usercpu_time_millis_testing
75.1541259996884
usercpu_time_millis_testing
44.700318001559936
usercpu_time_millis_training
24622.52812600127
usercpu_time_millis_training
29871.071289999236
usercpu_time_millis_training
28759.012344999064
usercpu_time_millis_training
32465.890505998686
usercpu_time_millis_training
35345.065933001024
usercpu_time_millis_training
35458.13618600005
usercpu_time_millis_training
32428.9845050007
usercpu_time_millis_training
37073.37181099865
usercpu_time_millis_training
31099.889555000118
usercpu_time_millis_training
26097.73433999726
wall_clock_time_millis
25163.11264038086
wall_clock_time_millis
30516.178131103516
wall_clock_time_millis
29331.675052642822
wall_clock_time_millis
33144.25349235535
wall_clock_time_millis
36055.41253089905
wall_clock_time_millis
36169.69156265259
wall_clock_time_millis
33070.41430473328
wall_clock_time_millis
37848.03581237793
wall_clock_time_millis
31730.645418167114
wall_clock_time_millis
26520.74432373047
wall_clock_time_millis_testing
80.31582832336426
wall_clock_time_millis_testing
75.49118995666504
wall_clock_time_millis_testing
78.64880561828613
wall_clock_time_millis_testing
72.83520698547363
wall_clock_time_millis_testing
74.30744171142578
wall_clock_time_millis_testing
73.84157180786133
wall_clock_time_millis_testing
80.31916618347168
wall_clock_time_millis_testing
72.15762138366699
wall_clock_time_millis_testing
77.73947715759277
wall_clock_time_millis_testing
44.71015930175781
wall_clock_time_millis_training
25082.796812057495
wall_clock_time_millis_training
30440.68694114685
wall_clock_time_millis_training
29253.026247024536
wall_clock_time_millis_training
33071.41828536987
wall_clock_time_millis_training
35981.10508918762
wall_clock_time_millis_training
36095.84999084473
wall_clock_time_millis_training
32990.095138549805
wall_clock_time_millis_training
37775.87819099426
wall_clock_time_millis_training
31652.90594100952
wall_clock_time_millis_training
26476.03416442871
weighted_recall
0.9646069045546852 [0.931911,0.97767]
weighted_recall
0.9646069045546852 [0.936041,0.976036]
weighted_recall
0.9617058311575283 [0.937056,0.971568]
weighted_recall
0.9701189440092834 [0.942132,0.981316]
weighted_recall
0.9643167972149695 [0.93401,0.976442]
weighted_recall
0.9660475914103308 [0.935976,0.978067]
weighted_recall
0.9648868253047012 [0.938008,0.97563]
weighted_recall
0.9698200812536274 [0.936992,0.982941]
weighted_recall
0.9660475914103308 [0.935976,0.978067]
weighted_recall
0.9663377829367382 [0.92378,0.983347]