10585058
28997
Marc Boel
9967
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)
8301340
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
"most_frequent"
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
0.060097374948062485
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
795
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
91
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
19
19040
random_state
7166
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.23137643922190923
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1504
steel-plates-fault
https://www.openml.org/data/download/1592296/php9xWOpn
-1
22096384
description
https://api.openml.org/data/download/22096384/description.xml
-1
22096385
predictions
https://api.openml.org/data/download/22096385/predictions.arff
area_under_roc_curve
0.9923584777422062 [0.992358,0.992358]
average_cost
0
f_measure
0.9753767155682315 [0.980876,0.965015]
kappa
0.9459016907463601
kb_relative_information_score
0.8183002689732443
mean_absolute_error
0.09807243100432894
mean_prior_absolute_error
0.45306405137877787
weighted_recall
0.9752704791344667 [0.97082,0.983655]
number_of_instances
1941 [1268,673]
precision
0.9758608851294467 [0.991143,0.947067]
predictive_accuracy
0.9752704791344669
prior_entropy
0.9311124141243181
relative_absolute_error
0.2164648259023686
root_mean_prior_squared_error
0.47592842871248736
root_mean_squared_error
0.16318112759575815
root_relative_squared_error
0.34286904868701873
total_cost
0
unweighted_recall
0.9772377320815033 [0.97082,0.983655]
area_under_roc_curve
0.9983788791106993 [0.998379,0.998379]
area_under_roc_curve
0.9908332353978141 [0.990833,0.990833]
area_under_roc_curve
0.9945939593371725 [0.994594,0.994594]
area_under_roc_curve
0.9876601245739804 [0.98766,0.98766]
area_under_roc_curve
0.9998824773768951 [0.999882,0.999882]
area_under_roc_curve
0.9883652603126102 [0.988365,0.988365]
area_under_roc_curve
0.9962392760606417 [0.996239,0.996239]
area_under_roc_curve
0.9913620872017862 [0.991362,0.991362]
area_under_roc_curve
0.9920634920634921 [0.992063,0.992063]
area_under_roc_curve
0.989437441643324 [0.989437,0.989437]
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
0.9694241758241758 [0.976,0.957143]
f_measure
0.9742713252350186 [0.980237,0.962963]
f_measure
0.9846129815900818 [0.988048,0.978102]
f_measure
0.9742713252350186 [0.980237,0.962963]
f_measure
0.9948542650470037 [0.996047,0.992593]
f_measure
0.9692729717615419 [0.976,0.956522]
f_measure
0.9692729717615419 [0.976,0.956522]
f_measure
0.9592539732570259 [0.96748,0.943662]
f_measure
0.9896907216494846 [0.992063,0.985294]
f_measure
0.9690721649484536 [0.97619,0.955882]
kappa
0.933173406442769
kappa
0.9432017800679237
kappa
0.9661588556808932
kappa
0.9432017800679237
kappa
0.9886403560135848
kappa
0.9325530188897903
kappa
0.9325530188897903
kappa
0.9113041490456053
kappa
0.977357609710551
kappa
0.9320728291316527
kb_relative_information_score
0.8233976350821004
kb_relative_information_score
0.8171050988122324
kb_relative_information_score
0.828121845789201
kb_relative_information_score
0.8120011779397771
kb_relative_information_score
0.8516926115189666
kb_relative_information_score
0.8085177406732252
kb_relative_information_score
0.7972153954292811
kb_relative_information_score
0.7959541627465747
kb_relative_information_score
0.8414194659717776
kb_relative_information_score
0.8074721957787606
mean_absolute_error
0.09605378468617756
mean_absolute_error
0.09827600936933106
mean_absolute_error
0.09358712605261552
mean_absolute_error
0.10091258749187033
mean_absolute_error
0.08447047093608846
mean_absolute_error
0.10347551250657236
mean_absolute_error
0.10598547868705002
mean_absolute_error
0.10468889054667511
mean_absolute_error
0.09060323222009319
mean_absolute_error
0.10268162294020712
mean_prior_absolute_error
0.4536732781714767
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.45422372672718864
mean_prior_absolute_error
0.45422372672718864
number_of_instances
195 [127,68]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [126,68]
number_of_instances
194 [126,68]
precision
0.9704884997567924 [0.99187,0.930556]
precision
0.9743723950061124 [0.984127,0.955882]
precision
0.98519882179676 [1,0.957143]
precision
0.9743723950061124 [0.984127,0.955882]
precision
0.9949211643420254 [1,0.985294]
precision
0.9703565454414528 [0.99187,0.929577]
precision
0.9703565454414528 [0.99187,0.929577]
precision
0.9631615120274913 [1,0.893333]
precision
0.9896907216494846 [0.992063,0.985294]
precision
0.9690721649484536 [0.97619,0.955882]
predictive_accuracy
0.9692307692307692
predictive_accuracy
0.9742268041237113
predictive_accuracy
0.9845360824742267
predictive_accuracy
0.9742268041237113
predictive_accuracy
0.9948453608247422
predictive_accuracy
0.9690721649484536
predictive_accuracy
0.9690721649484536
predictive_accuracy
0.9587628865979382
predictive_accuracy
0.9896907216494846
predictive_accuracy
0.9690721649484536
prior_entropy
0.932928534004902
prior_entropy
0.9298639109616103
prior_entropy
0.9298639109616103
prior_entropy
0.9298639109616103
prior_entropy
0.9298639109616103
prior_entropy
0.9298639109616103
prior_entropy
0.9298639109616103
prior_entropy
0.9298639109616103
prior_entropy
0.9345694345320188
prior_entropy
0.9345694345320188
relative_absolute_error
0.2117245808995427
relative_absolute_error
0.2171148658353567
relative_absolute_error
0.20675601753901926
relative_absolute_error
0.22293968828198524
relative_absolute_error
0.18661517782448273
relative_absolute_error
0.22860179365525
relative_absolute_error
0.23414690048267225
relative_absolute_error
0.23128243170796575
relative_absolute_error
0.19946829478265102
relative_absolute_error
0.22605957570745472
root_mean_prior_squared_error
0.4765680392655914
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.4771452028525092
root_mean_prior_squared_error
0.4771452028525092
root_mean_squared_error
0.15543408228299016
root_mean_squared_error
0.1701373000068992
root_mean_squared_error
0.15385151028245242
root_mean_squared_error
0.17317842132152214
root_mean_squared_error
0.1226973609299784
root_mean_squared_error
0.16778969890779308
root_mean_squared_error
0.17574442764742282
root_mean_squared_error
0.18596947115941215
root_mean_squared_error
0.14020614467236095
root_mean_squared_error
0.17660544514559784
root_relative_squared_error
0.3261529718243794
root_relative_squared_error
0.357816010880973
root_relative_squared_error
0.32356534207988363
root_relative_squared_error
0.3642117976799839
root_relative_squared_error
0.2580450038398841
root_relative_squared_error
0.35287876748762026
root_relative_squared_error
0.3696083694334553
root_relative_squared_error
0.39111267378291914
root_relative_squared_error
0.29384376880280655
root_relative_squared_error
0.37012935284647197
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
0.9729620194534507 [0.96063,0.985294]
unweighted_recall
0.9732636032436244 [0.976378,0.970149]
unweighted_recall
0.9881889763779528 [0.976378,1]
unweighted_recall
0.9732636032436244 [0.976378,0.970149]
unweighted_recall
0.9960629921259843 [0.992126,1]
unweighted_recall
0.972852274062757 [0.96063,0.985075]
unweighted_recall
0.972852274062757 [0.96063,0.985075]
unweighted_recall
0.9685039370078741 [0.937008,1]
unweighted_recall
0.9886788048552755 [0.992063,0.985294]
unweighted_recall
0.9660364145658263 [0.97619,0.955882]
usercpu_time_millis
1052.2259840017796
usercpu_time_millis
1052.146347999951
usercpu_time_millis
1039.1084350012534
usercpu_time_millis
1038.191965999431
usercpu_time_millis
1051.7712890014081
usercpu_time_millis
1051.5792200003489
usercpu_time_millis
1045.8600569982082
usercpu_time_millis
1047.5448590004817
usercpu_time_millis
1043.9540930001385
usercpu_time_millis
1025.7095059987478
usercpu_time_millis_testing
6.398802001058357
usercpu_time_millis_testing
7.048529001622228
usercpu_time_millis_testing
6.555255000421312
usercpu_time_millis_testing
6.999179000558797
usercpu_time_millis_testing
7.503333999920869
usercpu_time_millis_testing
7.881732000896591
usercpu_time_millis_testing
6.4348919986514375
usercpu_time_millis_testing
7.151362000513473
usercpu_time_millis_testing
7.073665999996592
usercpu_time_millis_testing
4.554691999146598
usercpu_time_millis_training
1045.8271820007212
usercpu_time_millis_training
1045.0978189983289
usercpu_time_millis_training
1032.553180000832
usercpu_time_millis_training
1031.1927869988722
usercpu_time_millis_training
1044.2679550014873
usercpu_time_millis_training
1043.6974879994523
usercpu_time_millis_training
1039.4251649995567
usercpu_time_millis_training
1040.3934969999682
usercpu_time_millis_training
1036.880427000142
usercpu_time_millis_training
1021.1548139996012
wall_clock_time_millis
1072.495698928833
wall_clock_time_millis
1083.8401317596436
wall_clock_time_millis
1062.0169639587402
wall_clock_time_millis
1072.618007659912
wall_clock_time_millis
1060.560703277588
wall_clock_time_millis
1078.6688327789307
wall_clock_time_millis
1063.7993812561035
wall_clock_time_millis
1066.0126209259033
wall_clock_time_millis
1054.7659397125244
wall_clock_time_millis
1046.8196868896484
wall_clock_time_millis_testing
6.404638290405273
wall_clock_time_millis_testing
12.496471405029297
wall_clock_time_millis_testing
6.560564041137695
wall_clock_time_millis_testing
7.010221481323242
wall_clock_time_millis_testing
7.5092315673828125
wall_clock_time_millis_testing
7.9498291015625
wall_clock_time_millis_testing
6.45756721496582
wall_clock_time_millis_testing
7.1563720703125
wall_clock_time_millis_testing
7.081031799316406
wall_clock_time_millis_testing
4.559755325317383
wall_clock_time_millis_training
1066.0910606384277
wall_clock_time_millis_training
1071.3436603546143
wall_clock_time_millis_training
1055.4563999176025
wall_clock_time_millis_training
1065.6077861785889
wall_clock_time_millis_training
1053.051471710205
wall_clock_time_millis_training
1070.7190036773682
wall_clock_time_millis_training
1057.3418140411377
wall_clock_time_millis_training
1058.8562488555908
wall_clock_time_millis_training
1047.684907913208
wall_clock_time_millis_training
1042.259931564331
weighted_recall
0.9692307692307692 [0.96063,0.985294]
weighted_recall
0.9742268041237113 [0.976378,0.970149]
weighted_recall
0.9845360824742269 [0.976378,1]
weighted_recall
0.9742268041237113 [0.976378,0.970149]
weighted_recall
0.9948453608247423 [0.992126,1]
weighted_recall
0.9690721649484536 [0.96063,0.985075]
weighted_recall
0.9690721649484536 [0.96063,0.985075]
weighted_recall
0.9587628865979382 [0.937008,1]
weighted_recall
0.9896907216494846 [0.992063,0.985294]
weighted_recall
0.9690721649484536 [0.97619,0.955882]