10586400
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)
8302682
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
0.7521658373874012
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1541
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
144
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
12
19040
random_state
573
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.28990122755154873
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
22099068
description
https://api.openml.org/data/download/22099068/description.xml
-1
22099069
predictions
https://api.openml.org/data/download/22099069/predictions.arff
area_under_roc_curve
0.993281340984671 [0.993281,0.993281]
average_cost
0
f_measure
0.9651317205651107 [0.938757,0.975677]
kappa
0.9144345348159357
kb_relative_information_score
0.8843270304373815
mean_absolute_error
0.04738522794351732
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9651820687654142 [0.934275,0.977539]
number_of_instances
34465 [9844,24621]
precision
0.9650987751524895 [0.943282,0.973822]
predictive_accuracy
0.9651820687654141
prior_entropy
0.8629999933345911
relative_absolute_error
0.11611453168766275
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.16221231363996305
root_relative_squared_error
0.3591066559813452
total_cost
0
unweighted_recall
0.9559070919445993 [0.934275,0.977539]
area_under_roc_curve
0.9934737365035039 [0.993474,0.993474]
area_under_roc_curve
0.992595677650542 [0.992596,0.992596]
area_under_roc_curve
0.9917507535864944 [0.991751,0.991751]
area_under_roc_curve
0.9951869430573138 [0.995187,0.995187]
area_under_roc_curve
0.9937700767400529 [0.99377,0.99377]
area_under_roc_curve
0.9919826071737566 [0.991983,0.991983]
area_under_roc_curve
0.993478102937 [0.993478,0.993478]
area_under_roc_curve
0.9948673082892486 [0.994867,0.994867]
area_under_roc_curve
0.992838709357849 [0.992839,0.992839]
area_under_roc_curve
0.9933224855197375 [0.993322,0.993322]
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
0.9668973110354186 [0.941896,0.976886]
f_measure
0.9611018467424298 [0.931841,0.972808]
f_measure
0.9602973659380695 [0.930703,0.972137]
f_measure
0.9683247623291621 [0.944359,0.977913]
f_measure
0.9659999742432289 [0.940276,0.976292]
f_measure
0.9648490783435046 [0.938297,0.975461]
f_measure
0.9675476361412843 [0.943377,0.977208]
f_measure
0.967090702571651 [0.941902,0.977158]
f_measure
0.964201061136724 [0.936891,0.975116]
f_measure
0.9650129280858014 [0.93808,0.975777]
kappa
0.918781971390837
kappa
0.9046499011608032
kappa
0.9028410574348743
kappa
0.9222732071231199
kappa
0.9165684883798629
kappa
0.9137585912340974
kappa
0.9205859428690888
kappa
0.919064636801212
kappa
0.9120103364365616
kappa
0.9138657195061902
kb_relative_information_score
0.884129411470502
kb_relative_information_score
0.8793632382625297
kb_relative_information_score
0.8715194519703724
kb_relative_information_score
0.8920318099989298
kb_relative_information_score
0.8865194395656859
kb_relative_information_score
0.881795477703887
kb_relative_information_score
0.8897827642640305
kb_relative_information_score
0.8899382269445971
kb_relative_information_score
0.8871742787998042
kb_relative_information_score
0.8810210246939927
mean_absolute_error
0.0474031216583978
mean_absolute_error
0.04893802001311497
mean_absolute_error
0.05181281898285123
mean_absolute_error
0.044816620940670834
mean_absolute_error
0.046508579138745995
mean_absolute_error
0.04847665473078976
mean_absolute_error
0.04516968759320429
mean_absolute_error
0.045742749255428726
mean_absolute_error
0.04585590878713469
mean_absolute_error
0.04912737746976645
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
0.9668739540690116 [0.944785,0.975699]
precision
0.9610811971172729 [0.933741,0.972019]
precision
0.960348920356034 [0.927419,0.973523]
precision
0.9682951825467959 [0.949692,0.975738]
precision
0.9659663799988671 [0.945585,0.974121]
precision
0.9648209683516631 [0.941658,0.974079]
precision
0.9676162764416254 [0.938632,0.979201]
precision
0.9670784599929765 [0.953174,0.972636]
precision
0.9641671207687434 [0.946114,0.971383]
precision
0.9650283792530363 [0.95283,0.969904]
predictive_accuracy
0.9669277632724108
predictive_accuracy
0.9611256164780968
predictive_accuracy
0.9602552944589497
predictive_accuracy
0.9683782999709892
predictive_accuracy
0.9660574412532636
predictive_accuracy
0.9648868253047012
predictive_accuracy
0.967498549042368
predictive_accuracy
0.9672083575159606
predictive_accuracy
0.9643064422518863
predictive_accuracy
0.9651770168311086
prior_entropy
0.862791736866817
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
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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
0.11617759925626574
relative_absolute_error
0.11990284391133285
relative_absolute_error
0.12694637718162802
relative_absolute_error
0.10980502079656135
relative_absolute_error
0.11395048070020966
relative_absolute_error
0.11879831942171327
relative_absolute_error
0.11069416824812864
relative_absolute_error
0.11209853005434947
relative_absolute_error
0.11237584213926688
relative_absolute_error
0.12039299975246691
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
0.16179006132062468
root_mean_squared_error
0.1676040103072237
root_mean_squared_error
0.173550310663424
root_mean_squared_error
0.15398448714999458
root_mean_squared_error
0.16253315899299944
root_mean_squared_error
0.16380760830664495
root_mean_squared_error
0.15952723406006308
root_mean_squared_error
0.15529051840029465
root_mean_squared_error
0.1599037707263772
root_mean_squared_error
0.1632365464304356
root_relative_squared_error
0.35823114167304726
root_relative_squared_error
0.37099113697860825
root_relative_squared_error
0.3841532607602489
root_relative_squared_error
0.34084435008523317
root_relative_squared_error
0.3597668178763079
root_relative_squared_error
0.36266676711036744
root_relative_squared_error
0.35319010417585744
root_relative_squared_error
0.34381010047897326
root_relative_squared_error
0.3540237488208303
root_relative_squared_error
0.3614024475430056
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
0.9585499539526454 [0.939024,0.978076]
unweighted_recall
0.9517739694111922 [0.929949,0.973599]
unweighted_recall
0.9523828178155682 [0.93401,0.970755]
unweighted_recall
0.9595918880692105 [0.939086,0.980097]
unweighted_recall
0.9567490835316094 [0.935025,0.978473]
unweighted_recall
0.9559037202882184 [0.934959,0.976848]
unweighted_recall
0.9616970636603197 [0.948171,0.975223]
unweighted_recall
0.9563082430174423 [0.930894,0.981722]
unweighted_recall
0.953362244325124 [0.927846,0.978879]
unweighted_recall
0.9527513324483368 [0.92378,0.981722]
usercpu_time_millis
31116.96726000082
usercpu_time_millis
32088.33235900056
usercpu_time_millis
30627.38079999872
usercpu_time_millis
31688.13600700014
usercpu_time_millis
31141.047366998464
usercpu_time_millis
27362.651641999037
usercpu_time_millis
31569.95868299964
usercpu_time_millis
25059.799488000863
usercpu_time_millis
29869.411861000117
usercpu_time_millis
23958.11699600017
usercpu_time_millis_testing
77.60128600057214
usercpu_time_millis_testing
78.99186500071664
usercpu_time_millis_testing
77.58592599930125
usercpu_time_millis_testing
77.27018399964436
usercpu_time_millis_testing
78.45418599936238
usercpu_time_millis_testing
74.75638699906995
usercpu_time_millis_testing
77.67440099996747
usercpu_time_millis_testing
74.3447870008822
usercpu_time_millis_testing
44.97436000019661
usercpu_time_millis_testing
75.77689400022791
usercpu_time_millis_training
31039.365974000248
usercpu_time_millis_training
32009.340493999844
usercpu_time_millis_training
30549.794873999417
usercpu_time_millis_training
31610.865823000495
usercpu_time_millis_training
31062.5931809991
usercpu_time_millis_training
27287.895254999967
usercpu_time_millis_training
31492.284281999673
usercpu_time_millis_training
24985.45470099998
usercpu_time_millis_training
29824.43750099992
usercpu_time_millis_training
23882.340101999944
wall_clock_time_millis
31742.039442062378
wall_clock_time_millis
32615.268230438232
wall_clock_time_millis
31217.605590820312
wall_clock_time_millis
32235.808610916138
wall_clock_time_millis
31777.963399887085
wall_clock_time_millis
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wall_clock_time_millis
32140.663623809814
wall_clock_time_millis
25502.5532245636
wall_clock_time_millis
30397.91464805603
wall_clock_time_millis
24361.734867095947
wall_clock_time_millis_testing
77.72397994995117
wall_clock_time_millis_testing
79.01692390441895
wall_clock_time_millis_testing
77.83985137939453
wall_clock_time_millis_testing
77.59308815002441
wall_clock_time_millis_testing
78.85599136352539
wall_clock_time_millis_testing
74.8133659362793
wall_clock_time_millis_testing
77.69513130187988
wall_clock_time_millis_testing
74.52225685119629
wall_clock_time_millis_testing
45.02558708190918
wall_clock_time_millis_testing
75.86789131164551
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
31699.10740852356
wall_clock_time_millis_training
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wall_clock_time_millis_training
32062.968492507935
wall_clock_time_millis_training
25428.030967712402
wall_clock_time_millis_training
30352.88906097412
wall_clock_time_millis_training
24285.8669757843
weighted_recall
0.9669277632724108 [0.939024,0.978076]
weighted_recall
0.9611256164780969 [0.929949,0.973599]
weighted_recall
0.9602552944589499 [0.93401,0.970755]
weighted_recall
0.9683782999709892 [0.939086,0.980097]
weighted_recall
0.9660574412532638 [0.935025,0.978473]
weighted_recall
0.9648868253047012 [0.934959,0.976848]
weighted_recall
0.967498549042368 [0.948171,0.975223]
weighted_recall
0.9672083575159606 [0.930894,0.981722]
weighted_recall
0.9643064422518862 [0.927846,0.978879]
weighted_recall
0.9651770168311086 [0.92378,0.981722]