10585060
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)
8301342
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
"mean"
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
0.9256898211712299
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1047
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
5
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
8
19040
random_state
46339
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.2785602395913625
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
22096388
description
https://api.openml.org/data/download/22096388/description.xml
-1
22096389
predictions
https://api.openml.org/data/download/22096389/predictions.arff
area_under_roc_curve
1 [1,1]
average_cost
0
f_measure
1 [1,1]
kappa
1
kb_relative_information_score
0.9999937137213096
mean_absolute_error
0.000004057140195096202
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
0.000008954893204943966
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0.47592842871248736
root_mean_squared_error
0.000004718831823493892
root_relative_squared_error
0.00000991500305257995
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]
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1 [1,1]
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1 [1,1]
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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
0.9999944481963232
kb_relative_information_score
0.999992689746267
kb_relative_information_score
0.9999945771475401
kb_relative_information_score
0.9999946078392586
kb_relative_information_score
0.9999943213898422
kb_relative_information_score
0.9999938627011075
kb_relative_information_score
0.9999925275451998
kb_relative_information_score
0.9999937753808739
kb_relative_information_score
0.9999926996280882
kb_relative_information_score
0.9999936269903986
mean_absolute_error
0.0000035901045957571695
mean_absolute_error
0.000004711680291144005
mean_absolute_error
0.000003495198337583114
mean_absolute_error
0.0000034754166212217166
mean_absolute_error
0.0000036600405324675213
mean_absolute_error
0.000003955678956848075
mean_absolute_error
0.000004816222918607059
mean_absolute_error
0.000004011958149946269
mean_absolute_error
0.000004729121759550617
mean_absolute_error
0.0000041283871878333774
mean_prior_absolute_error
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mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
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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]
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194 [127,67]
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194 [127,67]
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194 [127,67]
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194 [127,67]
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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]
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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]
precision
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
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1
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1
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1
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1
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1
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1
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1
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1
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1
prior_entropy
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0.9298639109616103
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0.9298639109616103
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0.9298639109616103
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0.9345694345320188
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relative_absolute_error
0.000007913414275196088
relative_absolute_error
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relative_absolute_error
0.000007721716856455269
relative_absolute_error
0.000007678014382969017
relative_absolute_error
0.000008085892114038558
relative_absolute_error
0.000008739027067900361
relative_absolute_error
0.000010640171487598728
relative_absolute_error
0.000008863361069018744
relative_absolute_error
0.000010411437098685457
relative_absolute_error
0.000009088884936900112
root_mean_prior_squared_error
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0.47548822532565527
root_mean_prior_squared_error
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total_cost
0
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0
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0
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0
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0
total_cost
0
total_cost
0
total_cost
0
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0
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0
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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]
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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
367.10022399893205
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366.73497000083444
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377.0659500005422
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361.2546529984684
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376.42468699959863
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
372.1802234649658
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361.13810539245605
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374.6953010559082
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358.95800590515137
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384.6144676208496
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382.1229934692383
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383.2709789276123
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6.722450256347656
wall_clock_time_millis_testing
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6.442785263061523
wall_clock_time_millis_testing
6.908416748046875
wall_clock_time_millis_testing
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375.81634521484375
wall_clock_time_millis_training
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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]
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1 [1,1]
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1 [1,1]