10585055
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)
8301337
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
0.17719359941253549
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
394
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
106
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
6
19040
random_state
47671
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.23472203496375077
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
22096378
description
https://api.openml.org/data/download/22096378/description.xml
-1
22096379
predictions
https://api.openml.org/data/download/22096379/predictions.arff
area_under_roc_curve
0.9948369042987516 [0.994837,0.994837]
average_cost
0
f_measure
0.9773546930566982 [0.982609,0.967456]
kappa
0.9500648425011314
kb_relative_information_score
0.8963475227910433
mean_absolute_error
0.05272068248456631
mean_prior_absolute_error
0.45306405137877787
weighted_recall
0.9773312725399279 [0.980284,0.971768]
number_of_instances
1941 [1268,673]
precision
0.9773985472964656 [0.984945,0.963181]
predictive_accuracy
0.9773312725399279
prior_entropy
0.9311124141243181
relative_absolute_error
0.11636474428753546
root_mean_prior_squared_error
0.47592842871248736
root_mean_squared_error
0.1397412305217406
root_relative_squared_error
0.29361816208327307
total_cost
0
unweighted_recall
0.976026056876081 [0.980284,0.971768]
area_under_roc_curve
0.9916628068550255 [0.991663,0.991663]
area_under_roc_curve
0.980138676695264 [0.980139,0.980139]
area_under_roc_curve
0.9994123868844753 [0.999412,0.999412]
area_under_roc_curve
0.9849571042425667 [0.984957,0.984957]
area_under_roc_curve
0.9997649547537901 [0.999765,0.999765]
area_under_roc_curve
0.9996474321306853 [0.999647,0.999647]
area_under_roc_curve
0.9997649547537901 [0.999765,0.999765]
area_under_roc_curve
0.9967093665530614 [0.996709,0.996709]
area_under_roc_curve
0.9920634920634921 [0.992063,0.992063]
area_under_roc_curve
0.9978991596638654 [0.997899,0.997899]
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
0.9693316345490257 [0.97619,0.956522]
f_measure
0.9381443298969072 [0.952756,0.910448]
f_measure
0.9845627951410111 [0.988142,0.977778]
f_measure
0.9638526273233115 [0.972549,0.947368]
f_measure
0.9896907216494846 [0.992126,0.985075]
f_measure
0.9948542650470037 [0.996047,0.992593]
f_measure
0.9896907216494846 [0.992126,0.985075]
f_measure
0.9795153145076946 [0.984,0.971014]
f_measure
0.9896907216494846 [0.992063,0.985294]
f_measure
0.9741822830124042 [0.980237,0.962963]
kappa
0.9327199539965497
kappa
0.8632036667058409
kappa
0.9659210680407543
kappa
0.9199198018634274
kappa
0.9772006111176402
kappa
0.9886403560135848
kappa
0.9772006111176402
kappa
0.9550353459265267
kappa
0.977357609710551
kappa
0.9432017800679237
kb_relative_information_score
0.8209480702677903
kb_relative_information_score
0.7677771505311164
kb_relative_information_score
0.9183341743972382
kb_relative_information_score
0.8935521938460298
kb_relative_information_score
0.9396066047159145
kb_relative_information_score
0.9345973811700297
kb_relative_information_score
0.9248614593695281
kb_relative_information_score
0.909273970357009
kb_relative_information_score
0.9399225819306426
kb_relative_information_score
0.9149255567184177
mean_absolute_error
0.09069512333678062
mean_absolute_error
0.11212159031652917
mean_absolute_error
0.04219121968394319
mean_absolute_error
0.05181035839074702
mean_absolute_error
0.0328035945881147
mean_absolute_error
0.036118287921208136
mean_absolute_error
0.04050671356034224
mean_absolute_error
0.04513215436759571
mean_absolute_error
0.03289958722463416
mean_absolute_error
0.042732450915294574
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
0.9696527472527473 [0.984,0.942857]
precision
0.9381443298969072 [0.952756,0.910448]
precision
0.984646779674069 [0.992063,0.970588]
precision
0.9638443064667293 [0.96875,0.954545]
precision
0.9896907216494846 [0.992126,0.985075]
precision
0.9949211643420254 [1,0.985294]
precision
0.9896907216494846 [0.992126,0.985075]
precision
0.9805430521271962 [1,0.943662]
precision
0.9896907216494846 [0.992063,0.985294]
precision
0.9741946974277085 [0.976378,0.970149]
predictive_accuracy
0.9692307692307692
predictive_accuracy
0.9381443298969071
predictive_accuracy
0.9845360824742267
predictive_accuracy
0.9639175257731959
predictive_accuracy
0.9896907216494846
predictive_accuracy
0.9948453608247422
predictive_accuracy
0.9896907216494846
predictive_accuracy
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predictive_accuracy
0.9896907216494846
predictive_accuracy
0.9742268041237113
prior_entropy
0.932928534004902
prior_entropy
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prior_entropy
0.9298639109616103
prior_entropy
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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
0.19991286174562883
relative_absolute_error
0.24770301719655347
relative_absolute_error
0.09321034767176911
relative_absolute_error
0.1144612920597404
relative_absolute_error
0.07247087141227125
relative_absolute_error
0.0797938101734021
relative_absolute_error
0.08948887664978242
relative_absolute_error
0.09970756549094348
relative_absolute_error
0.07243035818865091
relative_absolute_error
0.09407798052117192
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
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root_mean_prior_squared_error
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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
0.18307412155018904
root_mean_squared_error
0.2249348536547893
root_mean_squared_error
0.11048654928232363
root_mean_squared_error
0.16605700633976034
root_mean_squared_error
0.08862116141794597
root_mean_squared_error
0.08897642629651203
root_mean_squared_error
0.09833132280002459
root_mean_squared_error
0.1396658086862436
root_mean_squared_error
0.09999317743769628
root_mean_squared_error
0.1279267079745525
root_relative_squared_error
0.3841510686119718
root_relative_squared_error
0.47306082816400874
root_relative_squared_error
0.23236442754529396
root_relative_squared_error
0.349234739148441
root_relative_squared_error
0.18637929752571808
root_relative_squared_error
0.18712645562479138
root_relative_squared_error
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root_relative_squared_error
0.29373137177180025
root_relative_squared_error
0.2095655092829368
root_relative_squared_error
0.26810854894855984
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
0.9695460861509958 [0.968504,0.970588]
unweighted_recall
0.9316018333529203 [0.952756,0.910448]
unweighted_recall
0.9846632976848043 [0.984252,0.985075]
unweighted_recall
0.9583382301092961 [0.976378,0.940299]
unweighted_recall
0.9886003055588201 [0.992126,0.985075]
unweighted_recall
0.9960629921259843 [0.992126,1]
unweighted_recall
0.9886003055588201 [0.992126,0.985075]
unweighted_recall
0.984251968503937 [0.968504,1]
unweighted_recall
0.9886788048552755 [0.992063,0.985294]
unweighted_recall
0.9700046685340803 [0.984127,0.955882]
usercpu_time_millis
1027.5802500000282
usercpu_time_millis
909.1407209998579
usercpu_time_millis
1047.3135249994812
usercpu_time_millis
1044.2522179982916
usercpu_time_millis
1047.490448001554
usercpu_time_millis
1047.3920790009288
usercpu_time_millis
1045.2665150005487
usercpu_time_millis
1048.3242999980575
usercpu_time_millis
1033.4259909996035
usercpu_time_millis
1007.7588489984919
usercpu_time_millis_testing
6.897041999764042
usercpu_time_millis_testing
6.893611000123201
usercpu_time_millis_testing
7.14695199894777
usercpu_time_millis_testing
6.676844999674358
usercpu_time_millis_testing
6.787460000850842
usercpu_time_millis_testing
6.979367000894854
usercpu_time_millis_testing
6.616716000280576
usercpu_time_millis_testing
6.919040999491699
usercpu_time_millis_testing
6.5720019993023016
usercpu_time_millis_testing
7.126119999156799
usercpu_time_millis_training
1020.6832080002641
usercpu_time_millis_training
902.2471099997347
usercpu_time_millis_training
1040.1665730005334
usercpu_time_millis_training
1037.5753729986172
usercpu_time_millis_training
1040.702988000703
usercpu_time_millis_training
1040.412712000034
usercpu_time_millis_training
1038.649799000268
usercpu_time_millis_training
1041.4052589985658
usercpu_time_millis_training
1026.8539890003012
usercpu_time_millis_training
1000.6327289993351
wall_clock_time_millis
1050.4629611968994
wall_clock_time_millis
929.6219348907471
wall_clock_time_millis
1072.1654891967773
wall_clock_time_millis
1057.9416751861572
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
1058.5048198699951
wall_clock_time_millis
1072.3330974578857
wall_clock_time_millis
1070.4569816589355
wall_clock_time_millis
1041.8097972869873
wall_clock_time_millis_testing
6.9026947021484375
wall_clock_time_millis_testing
6.916046142578125
wall_clock_time_millis_testing
7.227659225463867
wall_clock_time_millis_testing
6.682872772216797
wall_clock_time_millis_testing
6.793498992919922
wall_clock_time_millis_testing
6.985187530517578
wall_clock_time_millis_testing
6.901979446411133
wall_clock_time_millis_testing
6.92439079284668
wall_clock_time_millis_testing
6.583213806152344
wall_clock_time_millis_testing
7.697105407714844
wall_clock_time_millis_training
1043.560266494751
wall_clock_time_millis_training
922.705888748169
wall_clock_time_millis_training
1064.9378299713135
wall_clock_time_millis_training
1051.2588024139404
wall_clock_time_millis_training
1066.9677257537842
wall_clock_time_millis_training
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wall_clock_time_millis_training
1051.602840423584
wall_clock_time_millis_training
1065.408706665039
wall_clock_time_millis_training
1063.8737678527832
wall_clock_time_millis_training
1034.1126918792725
weighted_recall
0.9692307692307692 [0.968504,0.970588]
weighted_recall
0.9381443298969072 [0.952756,0.910448]
weighted_recall
0.9845360824742269 [0.984252,0.985075]
weighted_recall
0.9639175257731959 [0.976378,0.940299]
weighted_recall
0.9896907216494846 [0.992126,0.985075]
weighted_recall
0.9948453608247423 [0.992126,1]
weighted_recall
0.9896907216494846 [0.992126,0.985075]
weighted_recall
0.979381443298969 [0.968504,1]
weighted_recall
0.9896907216494846 [0.992063,0.985294]
weighted_recall
0.9742268041237113 [0.984127,0.955882]