10586602
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)
8302884
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
0.9494270623486954
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
471
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
51
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
5
19040
random_state
3479
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.39555129405721345
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
22099475
description
https://api.openml.org/data/download/22099475/description.xml
-1
22099476
predictions
https://api.openml.org/data/download/22099476/predictions.arff
area_under_roc_curve
0.9904108557160937 [0.990411,0.990411]
average_cost
0
f_measure
0.9600299377620997 [0.929963,0.972051]
kappa
0.9020143357403464
kb_relative_information_score
0.8666266631302012
mean_absolute_error
0.05442168705492942
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9600464239083127 [0.928688,0.972584]
number_of_instances
34465 [9844,24621]
precision
0.9600148705607825 [0.931242,0.971519]
predictive_accuracy
0.9600464239083127
prior_entropy
0.8629999933345911
relative_absolute_error
0.13335693380156413
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.17517362207497736
root_relative_squared_error
0.3878004833782691
total_cost
0
unweighted_recall
0.950635952292339 [0.928688,0.972584]
area_under_roc_curve
0.9913069113943273 [0.991307,0.991307]
area_under_roc_curve
0.9910845872490278 [0.991085,0.991085]
area_under_roc_curve
0.9881366311075558 [0.988137,0.988137]
area_under_roc_curve
0.993846157018148 [0.993846,0.993846]
area_under_roc_curve
0.9913000449471562 [0.9913,0.9913]
area_under_roc_curve
0.989039085151209 [0.989039,0.989039]
area_under_roc_curve
0.9903797890537801 [0.99038,0.99038]
area_under_roc_curve
0.9919126412527327 [0.991913,0.991913]
area_under_roc_curve
0.9895990189085481 [0.989599,0.989599]
area_under_roc_curve
0.9881204470554048 [0.98812,0.98812]
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
0.962866260516391 [0.934959,0.974015]
f_measure
0.9597895811927394 [0.930116,0.971662]
f_measure
0.9570901615143059 [0.925025,0.969919]
f_measure
0.9661438449711834 [0.941117,0.976157]
f_measure
0.9602492368425669 [0.930422,0.972183]
f_measure
0.9589099790256709 [0.927357,0.971521]
f_measure
0.9588917939066904 [0.928427,0.971068]
f_measure
0.9628212918781477 [0.93476,0.974037]
f_measure
0.9563496404716426 [0.923077,0.969648]
f_measure
0.9571339335417041 [0.924109,0.970333]
kappa
0.9089747779329193
kappa
0.901780840198737
kappa
0.8949442015400176
kappa
0.9172762252758784
kappa
0.9026042849338056
kappa
0.8988856077963754
kappa
0.8994977062411271
kappa
0.9087972991190876
kappa
0.8927284454527569
kappa
0.8944530126486697
kb_relative_information_score
0.8722952750475332
kb_relative_information_score
0.8656101455862708
kb_relative_information_score
0.8621221579274773
kb_relative_information_score
0.8812972851888656
kb_relative_information_score
0.8694402626721773
kb_relative_information_score
0.8614836932871239
kb_relative_information_score
0.8625505917906402
kb_relative_information_score
0.8684793266314709
kb_relative_information_score
0.8650822096594353
kb_relative_information_score
0.8578974854862268
mean_absolute_error
0.05266388757300226
mean_absolute_error
0.055164160862438555
mean_absolute_error
0.0557606892303405
mean_absolute_error
0.04858229736650278
mean_absolute_error
0.052711872343441456
mean_absolute_error
0.056660728679805296
mean_absolute_error
0.05579521173072728
mean_absolute_error
0.053918001977605184
mean_absolute_error
0.054610000221021957
mean_absolute_error
0.05835211735138358
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
0.962866260516391 [0.934959,0.974015]
precision
0.9599734205229199 [0.921315,0.97544]
precision
0.9571192958408781 [0.923155,0.970708]
precision
0.9662863586553954 [0.933134,0.97955]
precision
0.9602433736365722 [0.930894,0.971985]
precision
0.958880748360648 [0.940439,0.966252]
precision
0.9590400170081184 [0.921,0.974244]
precision
0.9627941531625746 [0.937628,0.972853]
precision
0.9562913127552986 [0.931677,0.966129]
precision
0.9571155035096921 [0.93914,0.9643]
predictive_accuracy
0.962866260516391
predictive_accuracy
0.9596750797795184
predictive_accuracy
0.9570641137220771
predictive_accuracy
0.9660574412532636
predictive_accuracy
0.9602552944589497
predictive_accuracy
0.9590829947765525
predictive_accuracy
0.958792803250145
predictive_accuracy
0.9628554846198492
predictive_accuracy
0.9564712710388856
predictive_accuracy
0.957341845618108
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
0.1290709095030533
relative_absolute_error
0.1351574862983022
relative_absolute_error
0.13661903802773592
relative_absolute_error
0.11903128930080635
relative_absolute_error
0.12914914416594656
relative_absolute_error
0.1388544523493129
relative_absolute_error
0.13673339099405873
relative_absolute_error
0.13213304542336257
relative_absolute_error
0.13382887672230898
relative_absolute_error
0.14299941929862675
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
0.16909098062556768
root_mean_squared_error
0.17366733506707435
root_mean_squared_error
0.18147316364914337
root_mean_squared_error
0.16129555184950303
root_mean_squared_error
0.17608555620112495
root_mean_squared_error
0.17982411735412607
root_mean_squared_error
0.17732673454464548
root_mean_squared_error
0.1710344993203035
root_mean_squared_error
0.17777529318418603
root_mean_squared_error
0.18306834770031905
root_relative_squared_error
0.3743966380980066
root_relative_squared_error
0.3844122940404485
root_relative_squared_error
0.40169047977964195
root_relative_squared_error
0.3570273769735695
root_relative_squared_error
0.38976502161744764
root_relative_squared_error
0.39812699766187043
root_relative_squared_error
0.39259784209263804
root_relative_squared_error
0.37866695920935795
root_relative_squared_error
0.39359094194522276
root_relative_squared_error
0.40530965873346503
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
0.9544873889664597 [0.934959,0.974015]
unweighted_recall
0.9534992804331421 [0.939086,0.967912]
unweighted_recall
0.9480171706383733 [0.926904,0.969131]
unweighted_recall
0.9610124656195491 [0.949239,0.972786]
unweighted_recall
0.9511647086475854 [0.929949,0.97238]
unweighted_recall
0.945741118662202 [0.914634,0.976848]
unweighted_recall
0.9519439381030691 [0.935976,0.967912]
unweighted_recall
0.9535669823595068 [0.931911,0.975223]
unweighted_recall
0.9439133363713816 [0.914634,0.973193]
unweighted_recall
0.9429973813344957 [0.909553,0.976442]
usercpu_time_millis
9617.323302998557
usercpu_time_millis
7301.397982002527
usercpu_time_millis
11768.323758999031
usercpu_time_millis
12306.73015100183
usercpu_time_millis
10391.748002995882
usercpu_time_millis
7520.875967002212
usercpu_time_millis
8260.240429000987
usercpu_time_millis
6938.473713998974
usercpu_time_millis
9632.669784998143
usercpu_time_millis
6305.569244002982
usercpu_time_millis_testing
71.60803499937174
usercpu_time_millis_testing
68.81320400134427
usercpu_time_millis_testing
70.84463299906929
usercpu_time_millis_testing
72.98756800082629
usercpu_time_millis_testing
71.00864299718523
usercpu_time_millis_testing
71.43928400182631
usercpu_time_millis_testing
70.59206600024481
usercpu_time_millis_testing
70.20453400036786
usercpu_time_millis_testing
41.7499899995164
usercpu_time_millis_testing
70.31849300255999
usercpu_time_millis_training
9545.715267999185
usercpu_time_millis_training
7232.584778001183
usercpu_time_millis_training
11697.479125999962
usercpu_time_millis_training
12233.742583001003
usercpu_time_millis_training
10320.739359998697
usercpu_time_millis_training
7449.4366830003855
usercpu_time_millis_training
8189.648363000742
usercpu_time_millis_training
6868.269179998606
usercpu_time_millis_training
9590.919794998626
usercpu_time_millis_training
6235.250751000422
wall_clock_time_millis
9808.520793914795
wall_clock_time_millis
7427.089214324951
wall_clock_time_millis
11976.815462112427
wall_clock_time_millis
12493.643760681152
wall_clock_time_millis
10598.104476928711
wall_clock_time_millis
7636.207818984985
wall_clock_time_millis
8389.75477218628
wall_clock_time_millis
7033.383369445801
wall_clock_time_millis
9746.583700180054
wall_clock_time_millis
6469.067096710205
wall_clock_time_millis_testing
74.78785514831543
wall_clock_time_millis_testing
69.20766830444336
wall_clock_time_millis_testing
70.98984718322754
wall_clock_time_millis_testing
74.73039627075195
wall_clock_time_millis_testing
72.09897041320801
wall_clock_time_millis_testing
73.0128288269043
wall_clock_time_millis_testing
70.76859474182129
wall_clock_time_millis_testing
70.35040855407715
wall_clock_time_millis_testing
41.8696403503418
wall_clock_time_millis_testing
76.16138458251953
wall_clock_time_millis_training
9733.73293876648
wall_clock_time_millis_training
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wall_clock_time_millis_training
11905.8256149292
wall_clock_time_millis_training
12418.9133644104
wall_clock_time_millis_training
10526.005506515503
wall_clock_time_millis_training
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wall_clock_time_millis_training
8318.986177444458
wall_clock_time_millis_training
6963.032960891724
wall_clock_time_millis_training
9704.714059829712
wall_clock_time_millis_training
6392.905712127686
weighted_recall
0.962866260516391 [0.934959,0.974015]
weighted_recall
0.9596750797795184 [0.939086,0.967912]
weighted_recall
0.9570641137220771 [0.926904,0.969131]
weighted_recall
0.9660574412532638 [0.949239,0.972786]
weighted_recall
0.9602552944589499 [0.929949,0.97238]
weighted_recall
0.9590829947765526 [0.914634,0.976848]
weighted_recall
0.958792803250145 [0.935976,0.967912]
weighted_recall
0.9628554846198492 [0.931911,0.975223]
weighted_recall
0.9564712710388856 [0.914634,0.973193]
weighted_recall
0.957341845618108 [0.909553,0.976442]