10586433
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)
8302715
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
0.03907630220181737
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1629
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
60
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
14
19040
random_state
46717
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.1549705676055016
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
22099135
description
https://api.openml.org/data/download/22099135/description.xml
-1
22099136
predictions
https://api.openml.org/data/download/22099136/predictions.arff
area_under_roc_curve
0.9865766688994594 [0.986577,0.986577]
average_cost
0
f_measure
0.9477784859600296 [0.906999,0.964083]
kappa
0.8711133349796681
kb_relative_information_score
0.7710707123244173
mean_absolute_error
0.10214772761781846
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9481793123458582 [0.884701,0.973559]
number_of_instances
34465 [9844,24621]
precision
0.9478374837185641 [0.930449,0.95479]
predictive_accuracy
0.9481793123458582
prior_entropy
0.8629999933345911
relative_absolute_error
0.2503066054560276
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.19969513216006088
root_relative_squared_error
0.44208635902277843
total_cost
0
unweighted_recall
0.9291302488678385 [0.884701,0.973559]
area_under_roc_curve
0.9868243087120274 [0.986824,0.986824]
area_under_roc_curve
0.9877162308716861 [0.987716,0.987716]
area_under_roc_curve
0.984277773425097 [0.984278,0.984278]
area_under_roc_curve
0.9875457203297224 [0.987546,0.987546]
area_under_roc_curve
0.9865733772633367 [0.986573,0.986573]
area_under_roc_curve
0.9869423778011135 [0.986942,0.986942]
area_under_roc_curve
0.9860233269270142 [0.986023,0.986023]
area_under_roc_curve
0.9886027784932602 [0.988603,0.988603]
area_under_roc_curve
0.9849439116852582 [0.984944,0.984944]
area_under_roc_curve
0.9864957516857865 [0.986496,0.986496]
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
0.9494680397916176 [0.91013,0.965184]
f_measure
0.9517576202150624 [0.914107,0.966821]
f_measure
0.9412902341727347 [0.895693,0.959533]
f_measure
0.9526894504135547 [0.915975,0.967378]
f_measure
0.9460690029867829 [0.90459,0.962664]
f_measure
0.9438716548701199 [0.898995,0.961808]
f_measure
0.9483857567134806 [0.908622,0.964279]
f_measure
0.954232606395493 [0.91903,0.968302]
f_measure
0.9491361071830964 [0.909469,0.96499]
f_measure
0.940765573394047 [0.8928,0.959936]
kappa
0.8753381092473075
kappa
0.8809579872773202
kappa
0.8552536659933326
kappa
0.8833747623799473
kappa
0.867267247015363
kappa
0.8608900940734368
kappa
0.8729128111483981
kappa
0.8873423325310877
kappa
0.8744870456256223
kappa
0.852871491804386
kb_relative_information_score
0.7704070985755972
kb_relative_information_score
0.7774716181234982
kb_relative_information_score
0.7596378978947393
kb_relative_information_score
0.7778128614390387
kb_relative_information_score
0.7696889171134076
kb_relative_information_score
0.7627715344620083
kb_relative_information_score
0.7729795861355033
kb_relative_information_score
0.7842912866084804
kb_relative_information_score
0.7715921071717783
kb_relative_information_score
0.7640541243413314
mean_absolute_error
0.10291228535976331
mean_absolute_error
0.10013049029894981
mean_absolute_error
0.10608316340338404
mean_absolute_error
0.10048728667946052
mean_absolute_error
0.1025354015489835
mean_absolute_error
0.10453542034492586
mean_absolute_error
0.10157264564704056
mean_absolute_error
0.09687738715340936
mean_absolute_error
0.10188187491085889
mean_absolute_error
0.1044609116645336
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
0.949487353644714 [0.930925,0.956903]
precision
0.9518571766630699 [0.938034,0.957387]
precision
0.9412497982199942 [0.916136,0.951297]
precision
0.9527236844341198 [0.936373,0.959265]
precision
0.9459938682485495 [0.919287,0.956679]
precision
0.9443484546950178 [0.937155,0.947223]
precision
0.9483222909208013 [0.9234,0.958283]
precision
0.9541901457383575 [0.932984,0.962666]
precision
0.9491813555162844 [0.93177,0.95614]
precision
0.9415886016526823 [0.939394,0.942466]
predictive_accuracy
0.9498114302291847
predictive_accuracy
0.9521322889469104
predictive_accuracy
0.9416884247171454
predictive_accuracy
0.9530026109660574
predictive_accuracy
0.9463301421525965
predictive_accuracy
0.944573418456181
predictive_accuracy
0.9486360998258851
predictive_accuracy
0.9544399303540336
predictive_accuracy
0.9495066744051074
predictive_accuracy
0.9416715031921068
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
0.2522218332630618
relative_absolute_error
0.24532930727198854
relative_absolute_error
0.2599139274487936
relative_absolute_error
0.2462034926335753
relative_absolute_error
0.2512215705502356
relative_absolute_error
0.2561775833333631
relative_absolute_error
0.2489169203010522
relative_absolute_error
0.2374105813964488
relative_absolute_error
0.24967472665261747
relative_absolute_error
0.2559949901642989
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
0.19838220511923693
root_mean_squared_error
0.19512228411299884
root_mean_squared_error
0.2084056372193223
root_mean_squared_error
0.1941219428114607
root_mean_squared_error
0.20034477518190177
root_mean_squared_error
0.20462051631076836
root_mean_squared_error
0.19742155358004715
root_mean_squared_error
0.19211963503967527
root_mean_squared_error
0.1986946555949258
root_mean_squared_error
0.2070382705141902
root_relative_squared_error
0.4392524685842457
root_relative_squared_error
0.4319027802512225
root_relative_squared_error
0.46130545541854134
root_relative_squared_error
0.429688526808575
root_relative_squared_error
0.44346275364303706
root_relative_squared_error
0.4530257287925389
root_relative_squared_error
0.4370873693531454
root_relative_squared_error
0.42534902779260153
root_relative_squared_error
0.4399059917401679
root_relative_squared_error
0.4583785882212723
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
0.9319266609231257 [0.890244,0.973609]
unweighted_recall
0.9339062377580853 [0.891371,0.976442]
unweighted_recall
0.9220271992148681 [0.876142,0.967912]
unweighted_recall
0.9360381349816707 [0.896447,0.97563]
unweighted_recall
0.9295399720420441 [0.890355,0.968725]
unweighted_recall
0.9203346145971614 [0.863821,0.976848]
unweighted_recall
0.9323291262969494 [0.894309,0.970349]
unweighted_recall
0.9397463394820789 [0.905488,0.974005]
unweighted_recall
0.9311081280999649 [0.888211,0.974005]
unweighted_recall
0.9143381843038576 [0.85061,0.978067]
usercpu_time_millis
37125.6281269998
usercpu_time_millis
37660.014372999285
usercpu_time_millis
36932.01625800066
usercpu_time_millis
37478.9005870025
usercpu_time_millis
36782.95574799995
usercpu_time_millis
37201.07403200018
usercpu_time_millis
37061.72487600088
usercpu_time_millis
37491.92836200018
usercpu_time_millis
36433.137391000855
usercpu_time_millis
35873.09602699861
usercpu_time_millis_testing
78.08078400012164
usercpu_time_millis_testing
77.834059999077
usercpu_time_millis_testing
78.76300700081629
usercpu_time_millis_testing
79.7625440009142
usercpu_time_millis_testing
77.0529979999992
usercpu_time_millis_testing
78.15322500027833
usercpu_time_millis_testing
77.36088599995128
usercpu_time_millis_testing
76.83736299986776
usercpu_time_millis_testing
78.32673200027784
usercpu_time_millis_testing
45.28078699877369
usercpu_time_millis_training
37047.54734299968
usercpu_time_millis_training
37582.18031300021
usercpu_time_millis_training
36853.25325099984
usercpu_time_millis_training
37399.138043001585
usercpu_time_millis_training
36705.90274999995
usercpu_time_millis_training
37122.9208069999
usercpu_time_millis_training
36984.36399000093
usercpu_time_millis_training
37415.09099900031
usercpu_time_millis_training
36354.81065900058
usercpu_time_millis_training
35827.815239999836
wall_clock_time_millis
37742.098569869995
wall_clock_time_millis
38441.86997413635
wall_clock_time_millis
37490.32735824585
wall_clock_time_millis
38277.77814865112
wall_clock_time_millis
37420.246839523315
wall_clock_time_millis
37883.01706314087
wall_clock_time_millis
37787.31346130371
wall_clock_time_millis
38127.744913101196
wall_clock_time_millis
37069.018602371216
wall_clock_time_millis
36478.35659980774
wall_clock_time_millis_testing
79.77104187011719
wall_clock_time_millis_testing
78.5064697265625
wall_clock_time_millis_testing
81.78353309631348
wall_clock_time_millis_testing
81.21919631958008
wall_clock_time_millis_testing
77.65626907348633
wall_clock_time_millis_testing
79.24580574035645
wall_clock_time_millis_testing
78.8733959197998
wall_clock_time_millis_testing
80.14059066772461
wall_clock_time_millis_testing
78.36246490478516
wall_clock_time_millis_testing
45.39346694946289
wall_clock_time_millis_training
37662.32752799988
wall_clock_time_millis_training
38363.36350440979
wall_clock_time_millis_training
37408.543825149536
wall_clock_time_millis_training
38196.55895233154
wall_clock_time_millis_training
37342.59057044983
wall_clock_time_millis_training
37803.77125740051
wall_clock_time_millis_training
37708.44006538391
wall_clock_time_millis_training
38047.60432243347
wall_clock_time_millis_training
36990.65613746643
wall_clock_time_millis_training
36432.96313285828
weighted_recall
0.9498114302291848 [0.890244,0.973609]
weighted_recall
0.9521322889469104 [0.891371,0.976442]
weighted_recall
0.9416884247171453 [0.876142,0.967912]
weighted_recall
0.9530026109660574 [0.896447,0.97563]
weighted_recall
0.9463301421525965 [0.890355,0.968725]
weighted_recall
0.944573418456181 [0.863821,0.976848]
weighted_recall
0.948636099825885 [0.894309,0.970349]
weighted_recall
0.9544399303540336 [0.905488,0.974005]
weighted_recall
0.9495066744051074 [0.888211,0.974005]
weighted_recall
0.9416715031921068 [0.85061,0.978067]