10585105
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)
8301387
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
0.0627622435610471
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1426
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
152
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
15
19040
random_state
55065
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.1920068021370879
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
22096478
description
https://api.openml.org/data/download/22096478/description.xml
-1
22096479
predictions
https://api.openml.org/data/download/22096479/predictions.arff
area_under_roc_curve
0.953149535251077 [0.95315,0.95315]
average_cost
0
f_measure
0.8911782962147695 [0.915672,0.845029]
kappa
0.7607351475563112
kb_relative_information_score
0.5623741537439971
mean_absolute_error
0.21151333470102807
mean_prior_absolute_error
0.45306405137877787
weighted_recall
0.8907779495105616 [0.907729,0.858841]
number_of_instances
1941 [1268,673]
precision
0.8918218596321783 [0.923756,0.831655]
predictive_accuracy
0.8907779495105617
prior_entropy
0.9311124141243181
relative_absolute_error
0.46685084384281744
root_mean_prior_squared_error
0.47592842871248736
root_mean_squared_error
0.2958730491325538
root_relative_squared_error
0.6216755110279268
total_cost
0
unweighted_recall
0.8832848585128972 [0.907729,0.858841]
area_under_roc_curve
0.9563455303381195 [0.956346,0.956346]
area_under_roc_curve
0.9581619461746386 [0.958162,0.958162]
area_under_roc_curve
0.959572217651898 [0.959572,0.959572]
area_under_roc_curve
0.9316018333529205 [0.931602,0.931602]
area_under_roc_curve
0.9424139146785755 [0.942414,0.942414]
area_under_roc_curve
0.9445293218944647 [0.944529,0.944529]
area_under_roc_curve
0.9606299212598426 [0.96063,0.96063]
area_under_roc_curve
0.950405453049712 [0.950405,0.950405]
area_under_roc_curve
0.963702147525677 [0.963702,0.963702]
area_under_roc_curve
0.9672619047619048 [0.967262,0.967262]
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
0.9070092697999674 [0.930233,0.863636]
f_measure
0.8832568951619392 [0.90535,0.841379]
f_measure
0.8956805114988104 [0.923077,0.84375]
f_measure
0.8218542210829927 [0.870229,0.730159]
f_measure
0.8704105920355796 [0.902724,0.80916]
f_measure
0.8934084694956836 [0.91358,0.855172]
f_measure
0.8975765725384731 [0.92,0.855072]
f_measure
0.9135191759639477 [0.930612,0.881119]
f_measure
0.9077937194165993 [0.927419,0.871429]
f_measure
0.9180388617036438 [0.935484,0.885714]
kappa
0.7939657196525006
kappa
0.7475958818870913
kappa
0.7670788810181295
kappa
0.6011609626315152
kappa
0.7119610405036227
kappa
0.7695440660708226
kappa
0.7751767296326342
kappa
0.8121653946918783
kappa
0.7989405803777061
kappa
0.8212805158912942
kb_relative_information_score
0.5807198689397634
kb_relative_information_score
0.5605671524731758
kb_relative_information_score
0.5697326795018737
kb_relative_information_score
0.5174794342230861
kb_relative_information_score
0.5332706494167767
kb_relative_information_score
0.5095385129927891
kb_relative_information_score
0.5761987831491168
kb_relative_information_score
0.5486648319864478
kb_relative_information_score
0.6058202237178348
kb_relative_information_score
0.6210771409556883
mean_absolute_error
0.20464295826217824
mean_absolute_error
0.21184820289390002
mean_absolute_error
0.20793790722036026
mean_absolute_error
0.2271744641165268
mean_absolute_error
0.22017804751523956
mean_absolute_error
0.2349062584824177
mean_absolute_error
0.20481728339265706
mean_absolute_error
0.21970244151848795
mean_absolute_error
0.19650906140136173
mean_absolute_error
0.18745213651868897
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
0.9071711685261302 [0.916031,0.890625]
precision
0.8908684040216213 [0.948276,0.782051]
precision
0.8963811421404618 [0.902256,0.885246]
precision
0.8220707864950395 [0.844444,0.779661]
precision
0.8701415047581286 [0.892308,0.828125]
precision
0.9009395480689473 [0.956897,0.794872]
precision
0.8990509986412483 [0.934959,0.830986]
precision
0.9187339636002464 [0.966102,0.828947]
precision
0.909183520177267 [0.942623,0.847222]
precision
0.9193754342478357 [0.95082,0.861111]
predictive_accuracy
0.9076923076923077
predictive_accuracy
0.8814432989690723
predictive_accuracy
0.8969072164948453
predictive_accuracy
0.8247422680412372
predictive_accuracy
0.8711340206185567
predictive_accuracy
0.8917525773195877
predictive_accuracy
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predictive_accuracy
0.9123711340206185
predictive_accuracy
0.9072164948453608
predictive_accuracy
0.9175257731958762
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
0.45108003514553163
relative_absolute_error
0.4680226073884955
relative_absolute_error
0.4593838426891007
relative_absolute_error
0.501881930436534
relative_absolute_error
0.48642519728807976
relative_absolute_error
0.5189632863767034
relative_absolute_error
0.45248964920258916
relative_absolute_error
0.48537447155310254
relative_absolute_error
0.4326261483900577
relative_absolute_error
0.41268680055384827
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
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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
0.290384275667336
root_mean_squared_error
0.2933920536067479
root_mean_squared_error
0.290955713692943
root_mean_squared_error
0.3227549111305401
root_mean_squared_error
0.30931591253962903
root_mean_squared_error
0.3139119135853756
root_mean_squared_error
0.28925731402141935
root_mean_squared_error
0.2982500189179522
root_mean_squared_error
0.2757195913372221
root_mean_squared_error
0.27080644443916463
root_relative_squared_error
0.6093238567043411
root_relative_squared_error
0.6170332680810504
root_relative_squared_error
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root_relative_squared_error
0.67878633778889
root_relative_squared_error
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root_relative_squared_error
0.6601886163855724
root_relative_squared_error
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root_relative_squared_error
0.6272500622148633
root_relative_squared_error
0.577852590131667
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
0.8915585919407133 [0.944882,0.838235]
unweighted_recall
0.8882947467387472 [0.866142,0.910448]
unweighted_recall
0.8754260195087554 [0.944882,0.80597]
unweighted_recall
0.7921024797273475 [0.897638,0.686567]
unweighted_recall
0.8522153014455283 [0.913386,0.791045]
unweighted_recall
0.8996944411799271 [0.874016,0.925373]
unweighted_recall
0.8930544129744975 [0.905512,0.880597]
unweighted_recall
0.9189681513691386 [0.897638,0.940299]
unweighted_recall
0.9048786181139122 [0.912698,0.897059]
unweighted_recall
0.9161998132586368 [0.920635,0.911765]
usercpu_time_millis
1007.2048080000968
usercpu_time_millis
1018.916872999398
usercpu_time_millis
1003.8275189999695
usercpu_time_millis
1004.6251579988166
usercpu_time_millis
1018.6818820002372
usercpu_time_millis
1013.4474710012
usercpu_time_millis
1016.1981639994337
usercpu_time_millis
1012.8859409996949
usercpu_time_millis
1038.2383659998595
usercpu_time_millis
1038.561239001865
usercpu_time_millis_testing
7.006087000263506
usercpu_time_millis_testing
7.649269999092212
usercpu_time_millis_testing
7.39018800049962
usercpu_time_millis_testing
7.548468998720637
usercpu_time_millis_testing
6.727833999320865
usercpu_time_millis_testing
7.353911001700908
usercpu_time_millis_testing
7.134137998946244
usercpu_time_millis_testing
7.692332999795326
usercpu_time_millis_testing
6.785813999158563
usercpu_time_millis_testing
7.168220001403824
usercpu_time_millis_training
1000.1987209998333
usercpu_time_millis_training
1011.2676030003058
usercpu_time_millis_training
996.4373309994699
usercpu_time_millis_training
997.0766890000959
usercpu_time_millis_training
1011.9540480009164
usercpu_time_millis_training
1006.0935599994991
usercpu_time_millis_training
1009.0640260004875
usercpu_time_millis_training
1005.1936079998995
usercpu_time_millis_training
1031.452552000701
usercpu_time_millis_training
1031.3930190004612
wall_clock_time_millis
1032.4466228485107
wall_clock_time_millis
1046.8268394470215
wall_clock_time_millis
1011.1958980560303
wall_clock_time_millis
1028.8991928100586
wall_clock_time_millis
1042.2947406768799
wall_clock_time_millis
1028.6986827850342
wall_clock_time_millis
1038.35129737854
wall_clock_time_millis
1024.7316360473633
wall_clock_time_millis
1048.5649108886719
wall_clock_time_millis
1057.5225353240967
wall_clock_time_millis_testing
7.012128829956055
wall_clock_time_millis_testing
7.678508758544922
wall_clock_time_millis_testing
7.4138641357421875
wall_clock_time_millis_testing
7.584095001220703
wall_clock_time_millis_testing
6.877422332763672
wall_clock_time_millis_testing
7.407188415527344
wall_clock_time_millis_testing
7.140636444091797
wall_clock_time_millis_testing
8.14509391784668
wall_clock_time_millis_testing
6.791114807128906
wall_clock_time_millis_testing
7.260799407958984
wall_clock_time_millis_training
1025.4344940185547
wall_clock_time_millis_training
1039.1483306884766
wall_clock_time_millis_training
1003.7820339202881
wall_clock_time_millis_training
1021.3150978088379
wall_clock_time_millis_training
1035.4173183441162
wall_clock_time_millis_training
1021.2914943695068
wall_clock_time_millis_training
1031.2106609344482
wall_clock_time_millis_training
1016.5865421295166
wall_clock_time_millis_training
1041.773796081543
wall_clock_time_millis_training
1050.2617359161377
weighted_recall
0.9076923076923077 [0.944882,0.838235]
weighted_recall
0.8814432989690721 [0.866142,0.910448]
weighted_recall
0.8969072164948454 [0.944882,0.80597]
weighted_recall
0.8247422680412371 [0.897638,0.686567]
weighted_recall
0.8711340206185567 [0.913386,0.791045]
weighted_recall
0.8917525773195877 [0.874016,0.925373]
weighted_recall
0.8969072164948454 [0.905512,0.880597]
weighted_recall
0.9123711340206185 [0.897638,0.940299]
weighted_recall
0.9072164948453608 [0.912698,0.897059]
weighted_recall
0.9175257731958762 [0.920635,0.911765]