10581147
28997
Marc Boel
10093
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)
8297429
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
0.534345324281661
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
168
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
12
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
16
19040
random_state
48769
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.1806748808190796
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1462
banknote-authentication
https://www.openml.org/data/download/1586223/php50jXam
-1
22088561
description
https://api.openml.org/data/download/22088561/description.xml
-1
22088562
predictions
https://api.openml.org/data/download/22088562/predictions.arff
area_under_roc_curve
0.9999591239619637 [0.999959,0.999959]
average_cost
0
f_measure
0.9978139365137135 [0.998028,0.997547]
kappa
0.9955746503586728
kb_relative_information_score
0.9951966429152133
mean_absolute_error
0.0024210055212974353
mean_prior_absolute_error
0.49387203415364794
weighted_recall
0.9978134110787172 [0.996063,1]
number_of_instances
1372 [762,610]
precision
0.9978241121664232 [1,0.995106]
predictive_accuracy
0.9978134110787172
prior_entropy
0.9911281447384036
relative_absolute_error
0.004902090731754694
root_mean_prior_squared_error
0.4969220835611905
root_mean_squared_error
0.0463614650971699
root_relative_squared_error
0.09329725248860067
total_cost
0
unweighted_recall
0.9980314960629921 [0.996063,1]
area_under_roc_curve
0.999787098147754 [0.999787,0.999787]
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
0.9997842968075926 [0.999784,0.999784]
area_under_roc_curve
0.9995685936151854 [0.999569,0.999569]
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
0.9927593990347404 [0.993464,0.99187]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
0.9927062319881188 [0.993377,0.99187]
f_measure
0.9927062319881188 [0.993377,0.99187]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
kappa
0.9853347502656747
kappa
1
kappa
1
kappa
1
kappa
0.9852481964035749
kappa
0.9852481964035749
kappa
1
kappa
1
kappa
1
kappa
1
kb_relative_information_score
0.9841873683344453
kb_relative_information_score
0.9995067881420373
kb_relative_information_score
0.9992679352902701
kb_relative_information_score
0.9998858799520286
kb_relative_information_score
0.984281556565739
kb_relative_information_score
0.9851153623744762
kb_relative_information_score
0.9998622254141165
kb_relative_information_score
0.9999960995554831
kb_relative_information_score
0.9999097132407833
kb_relative_information_score
0.9999953597510596
mean_absolute_error
0.00793259717012825
mean_absolute_error
0.00033081548723449216
mean_absolute_error
0.0004927316463303205
mean_absolute_error
0.00007804158179611785
mean_absolute_error
0.007870731901243218
mean_absolute_error
0.007318301011195541
mean_absolute_error
0.00009415632714506639
mean_absolute_error
0.0000026797830003859115
mean_absolute_error
0.00006183836248911507
mean_absolute_error
0.000003188207997457673
mean_prior_absolute_error
0.49358690378246245
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0.49358690378246245
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0.49394383705734374
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mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
number_of_instances
138 [77,61]
number_of_instances
138 [77,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
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137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
precision
0.992870500233754 [1,0.983871]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
0.9928184600894748 [1,0.983871]
precision
0.9928184600894748 [1,0.983871]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
predictive_accuracy
0.9927536231884058
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9927007299270073
predictive_accuracy
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predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
prior_entropy
0.9903020513891087
prior_entropy
0.9903020513891087
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
relative_absolute_error
0.016071328289585997
relative_absolute_error
0.0006702274405973538
relative_absolute_error
0.0009975458936095957
relative_absolute_error
0.00015799687320940846
relative_absolute_error
0.015934467262782095
relative_absolute_error
0.014816058956811992
relative_absolute_error
0.0001906215243133714
relative_absolute_error
0.000005425278744949308
relative_absolute_error
0.0001251931046604718
relative_absolute_error
0.000006454596167149956
root_mean_prior_squared_error
0.49663510423610374
root_mean_prior_squared_error
0.49663510423610374
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
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0.4969943259580404
root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.4969943259580404
root_mean_prior_squared_error
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root_mean_squared_error
0.0854770418639554
root_mean_squared_error
0.003873466040101913
root_mean_squared_error
0.004468258268383018
root_mean_squared_error
0.0008632026994578348
root_mean_squared_error
0.0826759702145317
root_mean_squared_error
0.08539914572454456
root_mean_squared_error
0.0010102744878706046
root_mean_squared_error
0.00002741085438506446
root_mean_squared_error
0.0006332219822593511
root_mean_squared_error
0.00002454823415375972
root_relative_squared_error
0.17211236405737246
root_relative_squared_error
0.007799420554573686
root_relative_squared_error
0.008990561934021472
root_relative_squared_error
0.0017368461859073863
root_relative_squared_error
0.1663519398439003
root_relative_squared_error
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root_relative_squared_error
0.002032768655704731
root_relative_squared_error
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root_relative_squared_error
0.0012741030413953097
root_relative_squared_error
0.000049393389162821644
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
0.9935064935064934 [0.987013,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.993421052631579 [0.986842,1]
unweighted_recall
0.993421052631579 [0.986842,1]
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]
usercpu_time_millis
217.096760000004
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280.501385000008
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244.14311399999633
usercpu_time_millis
292.8745309999954
usercpu_time_millis
286.793363000001
usercpu_time_millis
223.80349900001306
usercpu_time_millis
293.1807060000011
usercpu_time_millis
284.6591790000019
usercpu_time_millis
287.82124100000317
usercpu_time_millis
264.4715870000027
usercpu_time_millis_testing
6.003341999999634
usercpu_time_millis_testing
5.713836000012407
usercpu_time_millis_testing
5.837182999997026
usercpu_time_millis_testing
5.856059999999275
usercpu_time_millis_testing
5.832935000000816
usercpu_time_millis_testing
5.722716000008177
usercpu_time_millis_testing
5.772002000000498
usercpu_time_millis_testing
6.052361000001838
usercpu_time_millis_testing
5.672324000002504
usercpu_time_millis_testing
3.8025129999965657
usercpu_time_millis_training
211.09341800000436
usercpu_time_millis_training
274.7875489999956
usercpu_time_millis_training
238.3059309999993
usercpu_time_millis_training
287.0184709999961
usercpu_time_millis_training
280.9604280000002
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usercpu_time_millis_training
287.4087040000006
usercpu_time_millis_training
278.6068180000001
usercpu_time_millis_training
282.14891700000067
usercpu_time_millis_training
260.66907400000616
wall_clock_time_millis
221.56620025634766
wall_clock_time_millis
294.64221000671387
wall_clock_time_millis
257.1084499359131
wall_clock_time_millis
310.17255783081055
wall_clock_time_millis
292.8733825683594
wall_clock_time_millis
226.28498077392578
wall_clock_time_millis
304.46720123291016
wall_clock_time_millis
287.4424457550049
wall_clock_time_millis
292.3262119293213
wall_clock_time_millis
267.11034774780273
wall_clock_time_millis_testing
6.094455718994141
wall_clock_time_millis_testing
5.736112594604492
wall_clock_time_millis_testing
5.974292755126953
wall_clock_time_millis_testing
5.863189697265625
wall_clock_time_millis_testing
5.839347839355469
wall_clock_time_millis_testing
5.728960037231445
wall_clock_time_millis_testing
5.77855110168457
wall_clock_time_millis_testing
6.057977676391602
wall_clock_time_millis_testing
5.678653717041016
wall_clock_time_millis_testing
3.8063526153564453
wall_clock_time_millis_training
215.47174453735352
wall_clock_time_millis_training
288.9060974121094
wall_clock_time_millis_training
251.13415718078613
wall_clock_time_millis_training
304.3093681335449
wall_clock_time_millis_training
287.0340347290039
wall_clock_time_millis_training
220.55602073669434
wall_clock_time_millis_training
298.6886501312256
wall_clock_time_millis_training
281.3844680786133
wall_clock_time_millis_training
286.6475582122803
wall_clock_time_millis_training
263.3039951324463
weighted_recall
0.9927536231884058 [0.987013,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
0.9927007299270073 [0.986842,1]
weighted_recall
0.9927007299270073 [0.986842,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]