10586466
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)
8302748
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
0.07653608700202627
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1491
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
190
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
7
19040
random_state
13139
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.15534545925368093
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
22099202
description
https://api.openml.org/data/download/22099202/description.xml
-1
22099203
predictions
https://api.openml.org/data/download/22099203/predictions.arff
area_under_roc_curve
0.989663091326765 [0.989663,0.989663]
average_cost
0
f_measure
0.9540364370932982 [0.918938,0.968069]
kappa
0.887012869546073
kb_relative_information_score
0.8178264998037438
mean_absolute_error
0.07891590326059143
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9541854054838241 [0.909183,0.972178]
number_of_instances
34465 [9844,24621]
precision
0.9539726145979482 [0.928905,0.963995]
predictive_accuracy
0.9541854054838242
prior_entropy
0.8629999933345911
relative_absolute_error
0.19337847568729657
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.18474829637300264
root_relative_squared_error
0.40899695849239576
total_cost
0
unweighted_recall
0.9406807403405064 [0.909183,0.972178]
area_under_roc_curve
0.9898427623131286 [0.989843,0.989843]
area_under_roc_curve
0.9904536776258005 [0.990454,0.990454]
area_under_roc_curve
0.9876319034089737 [0.987632,0.987632]
area_under_roc_curve
0.9905417163215907 [0.990542,0.990542]
area_under_roc_curve
0.9896675147521514 [0.989668,0.989668]
area_under_roc_curve
0.990108593713882 [0.990109,0.990109]
area_under_roc_curve
0.9893831358601969 [0.989383,0.989383]
area_under_roc_curve
0.9915151357545257 [0.991515,0.991515]
area_under_roc_curve
0.9881805062973457 [0.988181,0.988181]
area_under_roc_curve
0.9897009751474443 [0.989701,0.989701]
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
0.9546310371563832 [0.920082,0.968434]
f_measure
0.9546312566614471 [0.920164,0.968421]
f_measure
0.9488625978197309 [0.910204,0.964329]
f_measure
0.9595434583843669 [0.928681,0.971891]
f_measure
0.954347579574834 [0.919693,0.968212]
f_measure
0.949420051607356 [0.909943,0.965198]
f_measure
0.9564446103112425 [0.923625,0.969562]
f_measure
0.9566200917783776 [0.923472,0.969869]
f_measure
0.9540648275595335 [0.919223,0.96799]
f_measure
0.9517590087584611 [0.914107,0.966807]
kappa
0.8885187580853817
kappa
0.8885877740179857
kappa
0.8745345237282773
kappa
0.9005767231921658
kappa
0.88790789532279
kappa
0.8751697639114275
kappa
0.8931871194700725
kappa
0.8933454475509629
kappa
0.8872148615840977
kappa
0.8809422603779511
kb_relative_information_score
0.8179432876921414
kb_relative_information_score
0.8218037067166893
kb_relative_information_score
0.8063225823747614
kb_relative_information_score
0.822862488929715
kb_relative_information_score
0.8168003297635409
kb_relative_information_score
0.8117213345543988
kb_relative_information_score
0.8193362810920968
kb_relative_information_score
0.8282087307757553
kb_relative_information_score
0.8191659107137198
kb_relative_information_score
0.8141024644329954
mean_absolute_error
0.07889486135203648
mean_absolute_error
0.07760309830133855
mean_absolute_error
0.08310211520562259
mean_absolute_error
0.07767838674847528
mean_absolute_error
0.07934078072351909
mean_absolute_error
0.08093237620705586
mean_absolute_error
0.07837206581712865
mean_absolute_error
0.07470978247221348
mean_absolute_error
0.07843190992599228
mean_absolute_error
0.08009306394132594
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
0.9545686213321216 [0.927686,0.965309]
precision
0.9545690327148345 [0.927761,0.965295]
precision
0.9488032873632002 [0.914872,0.962379]
precision
0.9594985004863595 [0.938797,0.967781]
precision
0.9542857131231344 [0.926804,0.965281]
precision
0.9494777993401837 [0.932764,0.956158]
precision
0.9564210503301148 [0.92551,0.968775]
precision
0.956565075395275 [0.933541,0.965767]
precision
0.9540078506166995 [0.924897,0.965643]
precision
0.9518358115544666 [0.937033,0.957752]
predictive_accuracy
0.9547432550043515
predictive_accuracy
0.9547432550043515
predictive_accuracy
0.9489411082100377
predictive_accuracy
0.9596750797795184
predictive_accuracy
0.954453147664636
predictive_accuracy
0.9497968659315148
predictive_accuracy
0.9564712710388856
predictive_accuracy
0.956761462565293
predictive_accuracy
0.9541497388276262
predictive_accuracy
0.9521183981427742
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
0.19335890263909974
relative_absolute_error
0.19013503570777077
relative_absolute_error
0.20360815467260526
relative_absolute_error
0.1903194996260687
relative_absolute_error
0.19439252434704024
relative_absolute_error
0.198335267431261
relative_absolute_error
0.1920608952987277
relative_absolute_error
0.18308599575093118
relative_absolute_error
0.19220755103641773
relative_absolute_error
0.19627842404566706
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
0.18362249842788894
root_mean_squared_error
0.1820484539461671
root_mean_squared_error
0.1939467208897824
root_mean_squared_error
0.17957073394567752
root_mean_squared_error
0.18561157600765812
root_mean_squared_error
0.18784743671660903
root_mean_squared_error
0.1821025694048424
root_mean_squared_error
0.17806235507698553
root_mean_squared_error
0.18389407665944088
root_mean_squared_error
0.19020106443475016
root_relative_squared_error
0.4065719285335023
root_relative_squared_error
0.4029638836856366
root_relative_squared_error
0.4293006734402227
root_relative_squared_error
0.39747945548841557
root_relative_squared_error
0.41085084714410675
root_relative_squared_error
0.4158904661891603
root_relative_squared_error
0.40317144491185664
root_relative_squared_error
0.3942264912319646
root_relative_squared_error
0.40713780612667727
root_relative_squared_error
0.42110135086261025
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
0.9420905003812523 [0.912602,0.971579]
unweighted_recall
0.9421290931808154 [0.91269,0.971568]
unweighted_recall
0.9359356637128 [0.905584,0.966288]
unweighted_recall
0.9474087345932283 [0.918782,0.976036]
unweighted_recall
0.9419260062596131 [0.91269,0.971162]
unweighted_recall
0.9313112150211673 [0.888211,0.974411]
unweighted_recall
0.9460486384920714 [0.921748,0.970349]
unweighted_recall
0.9438113801324852 [0.913618,0.974005]
unweighted_recall
0.9419835978416649 [0.913618,0.970349]
unweighted_recall
0.9341560830311797 [0.892276,0.976036]
usercpu_time_millis
37321.87091599917
usercpu_time_millis
37208.96071900279
usercpu_time_millis
37269.26454199929
usercpu_time_millis
37284.78081499998
usercpu_time_millis
37874.946812004055
usercpu_time_millis
37974.85454500202
usercpu_time_millis
37142.059215999325
usercpu_time_millis
37167.10372200032
usercpu_time_millis
37030.54709299977
usercpu_time_millis
37113.492611002584
usercpu_time_millis_testing
79.66249899982358
usercpu_time_millis_testing
78.60410000284901
usercpu_time_millis_testing
79.32499899834511
usercpu_time_millis_testing
82.91957300025388
usercpu_time_millis_testing
77.43837300222367
usercpu_time_millis_testing
79.11305200104835
usercpu_time_millis_testing
77.59355000234791
usercpu_time_millis_testing
84.71119699970586
usercpu_time_millis_testing
78.07493099971907
usercpu_time_millis_testing
49.90700700000161
usercpu_time_millis_training
37242.20841699935
usercpu_time_millis_training
37130.35661899994
usercpu_time_millis_training
37189.939543000946
usercpu_time_millis_training
37201.86124199972
usercpu_time_millis_training
37797.50843900183
usercpu_time_millis_training
37895.74149300097
usercpu_time_millis_training
37064.46566599698
usercpu_time_millis_training
37082.392525000614
usercpu_time_millis_training
36952.47216200005
usercpu_time_millis_training
37063.58560400258
wall_clock_time_millis
38012.63093948364
wall_clock_time_millis
37893.33629608154
wall_clock_time_millis
37978.216886520386
wall_clock_time_millis
37928.69758605957
wall_clock_time_millis
38561.76209449768
wall_clock_time_millis
38647.39942550659
wall_clock_time_millis
37869.08483505249
wall_clock_time_millis
37838.45043182373
wall_clock_time_millis
37759.981870651245
wall_clock_time_millis
37749.60780143738
wall_clock_time_millis_testing
79.90622520446777
wall_clock_time_millis_testing
78.83834838867188
wall_clock_time_millis_testing
79.68497276306152
wall_clock_time_millis_testing
84.90753173828125
wall_clock_time_millis_testing
77.80957221984863
wall_clock_time_millis_testing
81.59399032592773
wall_clock_time_millis_testing
77.87942886352539
wall_clock_time_millis_testing
87.98050880432129
wall_clock_time_millis_testing
78.2463550567627
wall_clock_time_millis_testing
51.06520652770996
wall_clock_time_millis_training
37932.724714279175
wall_clock_time_millis_training
37814.49794769287
wall_clock_time_millis_training
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wall_clock_time_millis_training
37843.79005432129
wall_clock_time_millis_training
38483.95252227783
wall_clock_time_millis_training
38565.805435180664
wall_clock_time_millis_training
37791.205406188965
wall_clock_time_millis_training
37750.46992301941
wall_clock_time_millis_training
37681.73551559448
wall_clock_time_millis_training
37698.54259490967
weighted_recall
0.9547432550043516 [0.912602,0.971579]
weighted_recall
0.9547432550043516 [0.91269,0.971568]
weighted_recall
0.9489411082100377 [0.905584,0.966288]
weighted_recall
0.9596750797795184 [0.918782,0.976036]
weighted_recall
0.954453147664636 [0.91269,0.971162]
weighted_recall
0.9497968659315148 [0.888211,0.974411]
weighted_recall
0.9564712710388856 [0.921748,0.970349]
weighted_recall
0.956761462565293 [0.913618,0.974005]
weighted_recall
0.9541497388276262 [0.913618,0.970349]
weighted_recall
0.9521183981427742 [0.892276,0.976036]