10585023
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)
8301305
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
0.5190424554531116
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1670
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
4
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
13
19040
random_state
12496
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.09507562944592983
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
22096314
description
https://api.openml.org/data/download/22096314/description.xml
-1
22096315
predictions
https://api.openml.org/data/download/22096315/predictions.arff
area_under_roc_curve
1 [1,1]
average_cost
0
f_measure
1 [1,1]
kappa
1
kb_relative_information_score
0.9999918325382369
mean_absolute_error
0.000005271246197310243
mean_prior_absolute_error
0.45306405137877787
weighted_recall
1 [1,1]
number_of_instances
1941 [1268,673]
precision
1 [1,1]
predictive_accuracy
1
prior_entropy
0.9311124141243181
relative_absolute_error
0.00001163466000285971
root_mean_prior_squared_error
0.47592842871248736
root_mean_squared_error
0.000005800273245729765
root_relative_squared_error
0.000012187280472866566
total_cost
0
unweighted_recall
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
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
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kappa
1
kb_relative_information_score
0.9999918757575645
kb_relative_information_score
0.9999918636931985
kb_relative_information_score
0.99999207089177
kb_relative_information_score
0.9999921141550969
kb_relative_information_score
0.9999918280807448
kb_relative_information_score
0.9999910358280287
kb_relative_information_score
0.9999919795587574
kb_relative_information_score
0.9999919672876755
kb_relative_information_score
0.9999918827236443
kb_relative_information_score
0.9999917074193432
mean_absolute_error
0.0000052535794789397274
mean_absolute_error
0.000005244098502380834
mean_absolute_error
0.000005110552968393298
mean_absolute_error
0.000005082666848570422
mean_absolute_error
0.00000526705147233287
mean_absolute_error
0.00000577768120902547
mean_absolute_error
0.000005169419814880232
mean_absolute_error
0.000005177328641829542
mean_absolute_error
0.000005258305809870049
mean_absolute_error
0.0000053718682924387994
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
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
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1
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1
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1
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1
prior_entropy
0.932928534004902
prior_entropy
0.9298639109616103
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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
0.000011580094600489147
relative_absolute_error
0.000011585449491471958
relative_absolute_error
0.000011290415933631304
relative_absolute_error
0.000011228808922898312
relative_absolute_error
0.000011636158011523186
relative_absolute_error
0.00001276425944222856
relative_absolute_error
0.000011420466670929047
relative_absolute_error
0.000011437939133568035
relative_absolute_error
0.00001157646661868071
relative_absolute_error
0.00001182648104084003
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
0.000005830410617809276
root_mean_squared_error
0.0000056661087776178655
root_mean_squared_error
0.000005542873562236045
root_mean_squared_error
0.000005806644185430809
root_mean_squared_error
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0.000006227609158980062
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root_mean_squared_error
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root_mean_squared_error
0.000006078783099127467
root_mean_squared_error
0.000005847441448395749
root_relative_squared_error
0.000012234162044928882
root_relative_squared_error
0.000011916401870387488
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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root_relative_squared_error
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root_relative_squared_error
0.000012739901947639376
root_relative_squared_error
0.000012255056560221264
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
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
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1 [1,1]
unweighted_recall
1 [1,1]
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1 [1,1]
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1 [1,1]
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1 [1,1]
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1 [1,1]
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1 [1,1]
usercpu_time_millis
806.9470500013267
usercpu_time_millis
817.4012780000339
usercpu_time_millis
836.3040939984785
usercpu_time_millis
819.3212109981687
usercpu_time_millis
841.0943489998317
usercpu_time_millis
825.9809179999138
usercpu_time_millis
814.3759809991025
usercpu_time_millis
824.7536109993234
usercpu_time_millis
820.464638998601
usercpu_time_millis
805.3978859989002
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6.44702200042957
usercpu_time_millis_testing
7.0710079999116715
usercpu_time_millis_testing
6.815889999415958
usercpu_time_millis_testing
6.91053399896191
usercpu_time_millis_testing
6.887953999466845
usercpu_time_millis_testing
6.383670999639435
usercpu_time_millis_testing
6.906540998897981
usercpu_time_millis_testing
6.801274999816087
usercpu_time_millis_testing
6.42877199970826
usercpu_time_millis_testing
4.51888899988262
usercpu_time_millis_training
800.5000280008971
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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817.9523359995073
usercpu_time_millis_training
814.0358669988927
usercpu_time_millis_training
800.8789969990175
wall_clock_time_millis
828.0982971191406
wall_clock_time_millis
839.8685455322266
wall_clock_time_millis
849.7533798217773
wall_clock_time_millis
835.6606960296631
wall_clock_time_millis
875.6859302520752
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845.1097011566162
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833.3914279937744
wall_clock_time_millis
843.1284427642822
wall_clock_time_millis
830.8265209197998
wall_clock_time_millis
829.8156261444092
wall_clock_time_millis_testing
6.66356086730957
wall_clock_time_millis_testing
14.65463638305664
wall_clock_time_millis_testing
6.899356842041016
wall_clock_time_millis_testing
9.183645248413086
wall_clock_time_millis_testing
6.893396377563477
wall_clock_time_millis_testing
6.389141082763672
wall_clock_time_millis_testing
6.912946701049805
wall_clock_time_millis_testing
6.810903549194336
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
4.523754119873047
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wall_clock_time_millis_training
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wall_clock_time_millis_training
836.3175392150879
wall_clock_time_millis_training
824.3918418884277
wall_clock_time_millis_training
825.2918720245361
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
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1 [1,1]
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1 [1,1]
weighted_recall
1 [1,1]
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1 [1,1]
weighted_recall
1 [1,1]