10582847
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)
8299129
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
0.49488514246420734
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1727
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
122
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
11
19040
random_state
48184
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.261789837480411
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
22091962
description
https://api.openml.org/data/download/22091962/description.xml
-1
22091963
predictions
https://api.openml.org/data/download/22091963/predictions.arff
area_under_roc_curve
0.9810573213775129 [0.981057,0.981057]
average_cost
0
f_measure
0.9280669117326276 [0.944444,0.89721]
kappa
0.8416662393779919
kb_relative_information_score
0.7818147095019056
mean_absolute_error
0.10370734728879517
mean_prior_absolute_error
0.45306405137877787
weighted_recall
0.9278722308088614 [0.938486,0.907875]
number_of_instances
1941 [1268,673]
precision
0.9283972119970871 [0.950479,0.886792]
predictive_accuracy
0.9278722308088614
prior_entropy
0.9311124141243181
relative_absolute_error
0.22890217613423516
root_mean_prior_squared_error
0.47592842871248736
root_mean_squared_error
0.22310516931436788
root_relative_squared_error
0.46877882440838115
total_cost
0
unweighted_recall
0.9231804950759582 [0.938486,0.907875]
area_under_roc_curve
0.9883047707271885 [0.988305,0.988305]
area_under_roc_curve
0.9874250793277705 [0.987425,0.987425]
area_under_roc_curve
0.9894229639205546 [0.989423,0.989423]
area_under_roc_curve
0.97767070161006 [0.977671,0.977671]
area_under_roc_curve
0.9629803737219415 [0.96298,0.96298]
area_under_roc_curve
0.9749676812786461 [0.974968,0.974968]
area_under_roc_curve
0.9849571042425667 [0.984957,0.984957]
area_under_roc_curve
0.9803737219414738 [0.980374,0.980374]
area_under_roc_curve
0.9828431372549019 [0.982843,0.982843]
area_under_roc_curve
0.9877450980392157 [0.987745,0.987745]
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
0.9384615384615385 [0.952756,0.911765]
f_measure
0.9538389447702456 [0.964143,0.934307]
f_measure
0.927284239775249 [0.945736,0.892308]
f_measure
0.9011091785006914 [0.926641,0.852713]
f_measure
0.9335221178416848 [0.947791,0.906475]
f_measure
0.9028400183840011 [0.923695,0.863309]
f_measure
0.9128068956771305 [0.932271,0.875912]
f_measure
0.9437494843275793 [0.955823,0.920863]
f_measure
0.9234682842930266 [0.938776,0.895105]
f_measure
0.942993019236995 [0.956863,0.917293]
kappa
0.8645206113941639
kappa
0.8984765670426795
kappa
0.8381213493861009
kappa
0.7795190812298122
kappa
0.8543711745005197
kappa
0.7871578704238366
kappa
0.8082335155250611
kappa
0.8767756091927474
kappa
0.8341124159160872
kappa
0.874189364461738
kb_relative_information_score
0.7894709946555524
kb_relative_information_score
0.8260914206266767
kb_relative_information_score
0.7949558905150081
kb_relative_information_score
0.741143930424547
kb_relative_information_score
0.7692899660312361
kb_relative_information_score
0.7526621323656293
kb_relative_information_score
0.7820722600404005
kb_relative_information_score
0.7659534028187724
kb_relative_information_score
0.7915819103605596
kb_relative_information_score
0.8046951468037638
mean_absolute_error
0.1045843728181082
mean_absolute_error
0.08473671228492127
mean_absolute_error
0.09654371874704833
mean_absolute_error
0.12084839666879524
mean_absolute_error
0.11032397513346776
mean_absolute_error
0.11248692527259649
mean_absolute_error
0.10124649148460126
mean_absolute_error
0.11351617295175624
mean_absolute_error
0.09801199972915191
mean_absolute_error
0.09477018704735608
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
0.9384615384615385 [0.952756,0.911765]
precision
0.9545595990308329 [0.975806,0.914286]
precision
0.9276152002208506 [0.931298,0.920635]
precision
0.9014949965232638 [0.909091,0.887097]
precision
0.9353663173905695 [0.967213,0.875]
precision
0.9048785983888232 [0.942623,0.833333]
precision
0.9137073020095966 [0.943548,0.857143]
precision
0.9455288903911516 [0.97541,0.888889]
precision
0.9267596523145342 [0.966387,0.853333]
precision
0.9431864706858714 [0.945736,0.938462]
predictive_accuracy
0.9384615384615383
predictive_accuracy
0.9536082474226804
predictive_accuracy
0.9278350515463917
predictive_accuracy
0.9020618556701031
predictive_accuracy
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predictive_accuracy
0.9020618556701031
predictive_accuracy
0.9123711340206185
predictive_accuracy
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predictive_accuracy
0.9226804123711341
predictive_accuracy
0.9432989690721649
prior_entropy
0.932928534004902
prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
0.9298639109616103
prior_entropy
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prior_entropy
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prior_entropy
0.9345694345320188
prior_entropy
0.9345694345320188
relative_absolute_error
0.2305279544777994
relative_absolute_error
0.18720336771032173
relative_absolute_error
0.2132878275941994
relative_absolute_error
0.26698258911346806
relative_absolute_error
0.2437316616053101
relative_absolute_error
0.2485101282145989
relative_absolute_error
0.22367736089454746
relative_absolute_error
0.25078397890518117
relative_absolute_error
0.21577912812999947
relative_absolute_error
0.2086420886249212
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
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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
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root_mean_prior_squared_error
0.4771452028525092
root_mean_squared_error
0.20331450922456568
root_mean_squared_error
0.19900570066897558
root_mean_squared_error
0.20912339254772
root_mean_squared_error
0.24411948293641916
root_mean_squared_error
0.24154298226920337
root_mean_squared_error
0.24968543288602751
root_mean_squared_error
0.22478825294530938
root_mean_squared_error
0.22257134809835244
root_mean_squared_error
0.22205487185472217
root_mean_squared_error
0.20850356143819002
root_relative_squared_error
0.42662220810669704
root_relative_squared_error
0.41852918762116426
root_relative_squared_error
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root_relative_squared_error
0.5134080507865891
root_relative_squared_error
0.5079894083681544
root_relative_squared_error
0.5251138084755336
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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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
0.932260305697082 [0.952756,0.911765]
unweighted_recall
0.953989893054413 [0.952756,0.955224]
unweighted_recall
0.9131507815254436 [0.96063,0.865672]
unweighted_recall
0.8828887060759196 [0.944882,0.820896]
unweighted_recall
0.9347161828652015 [0.929134,0.940299]
unweighted_recall
0.9005170995416618 [0.905512,0.895522]
unweighted_recall
0.9083911152896933 [0.92126,0.895522]
unweighted_recall
0.9461158773063815 [0.937008,0.955224]
unweighted_recall
0.926937441643324 [0.912698,0.941176]
unweighted_recall
0.93265639589169 [0.968254,0.897059]
usercpu_time_millis
383.23625799966976
usercpu_time_millis
556.1708400018688
usercpu_time_millis
612.9456819999177
usercpu_time_millis
468.20637800010445
usercpu_time_millis
582.2150200019678
usercpu_time_millis
621.9960679991345
usercpu_time_millis
455.5352929983201
usercpu_time_millis
390.70454399916343
usercpu_time_millis
566.9861569986097
usercpu_time_millis
449.9726659978478
usercpu_time_millis_testing
6.527183999423869
usercpu_time_millis_testing
6.744122001691721
usercpu_time_millis_testing
6.938807000551606
usercpu_time_millis_testing
7.378365000477061
usercpu_time_millis_testing
6.768766001187032
usercpu_time_millis_testing
8.030978999158833
usercpu_time_millis_testing
6.78402299854497
usercpu_time_millis_testing
7.300015999135212
usercpu_time_millis_testing
4.708059999757097
usercpu_time_millis_testing
6.939420998605783
usercpu_time_millis_training
376.7090740002459
usercpu_time_millis_training
549.4267180001771
usercpu_time_millis_training
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usercpu_time_millis_training
460.8280129996274
usercpu_time_millis_training
575.4462540007808
usercpu_time_millis_training
613.9650889999757
usercpu_time_millis_training
448.7512699997751
usercpu_time_millis_training
383.4045280000282
usercpu_time_millis_training
562.2780969988526
usercpu_time_millis_training
443.033244999242
wall_clock_time_millis
395.0998783111572
wall_clock_time_millis
573.1856822967529
wall_clock_time_millis
626.253604888916
wall_clock_time_millis
489.92085456848145
wall_clock_time_millis
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wall_clock_time_millis
629.2452812194824
wall_clock_time_millis
468.51301193237305
wall_clock_time_millis
410.9470844268799
wall_clock_time_millis
568.5064792633057
wall_clock_time_millis
455.521821975708
wall_clock_time_millis_testing
6.572961807250977
wall_clock_time_millis_testing
6.856441497802734
wall_clock_time_millis_testing
6.947040557861328
wall_clock_time_millis_testing
7.3909759521484375
wall_clock_time_millis_testing
6.775617599487305
wall_clock_time_millis_testing
8.06570053100586
wall_clock_time_millis_testing
6.8836212158203125
wall_clock_time_millis_testing
7.312774658203125
wall_clock_time_millis_testing
4.715442657470703
wall_clock_time_millis_testing
6.946802139282227
wall_clock_time_millis_training
388.52691650390625
wall_clock_time_millis_training
566.3292407989502
wall_clock_time_millis_training
619.3065643310547
wall_clock_time_millis_training
482.529878616333
wall_clock_time_millis_training
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wall_clock_time_millis_training
621.1795806884766
wall_clock_time_millis_training
461.62939071655273
wall_clock_time_millis_training
403.63430976867676
wall_clock_time_millis_training
563.791036605835
wall_clock_time_millis_training
448.5750198364258
weighted_recall
0.9384615384615385 [0.952756,0.911765]
weighted_recall
0.9536082474226805 [0.952756,0.955224]
weighted_recall
0.9278350515463918 [0.96063,0.865672]
weighted_recall
0.9020618556701031 [0.944882,0.820896]
weighted_recall
0.9329896907216495 [0.929134,0.940299]
weighted_recall
0.9020618556701031 [0.905512,0.895522]
weighted_recall
0.9123711340206185 [0.92126,0.895522]
weighted_recall
0.9432989690721649 [0.937008,0.955224]
weighted_recall
0.9226804123711341 [0.912698,0.941176]
weighted_recall
0.9432989690721649 [0.968254,0.897059]