10581228
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)
8297510
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
0.6640392034780542
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1170
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
32
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
6
19040
random_state
43827
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.1964301624726094
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
22088723
description
https://api.openml.org/data/download/22088723/description.xml
-1
22088724
predictions
https://api.openml.org/data/download/22088724/predictions.arff
area_under_roc_curve
0.999946215739426 [0.999946,0.999946]
average_cost
0
f_measure
0.9963565608561893 [0.996713,0.995912]
kappa
0.9926244172644544
kb_relative_information_score
0.9915752976313918
mean_absolute_error
0.004472772920125667
mean_prior_absolute_error
0.49387203415364794
weighted_recall
0.9963556851311953 [0.994751,0.998361]
number_of_instances
1372 [762,610]
precision
0.9963670723668178 [0.998682,0.993475]
predictive_accuracy
0.9963556851311953
prior_entropy
0.9911281447384036
relative_absolute_error
0.009056542202861699
root_mean_prior_squared_error
0.4969220835611905
root_mean_squared_error
0.04841525712557695
root_relative_squared_error
0.09743027876444765
total_cost
0
unweighted_recall
0.9965556559528419 [0.994751,0.998361]
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
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
0.9855287763588493 [0.986842,0.983871]
f_measure
1 [1,1]
f_measure
0.9927062319881188 [0.993377,0.99187]
f_measure
0.9926944214777463 [0.993464,0.991736]
f_measure
1 [1,1]
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
0.9707192870782941
kappa
1
kappa
0.9852481964035749
kappa
0.9852003888948904
kappa
1
kappa
0.9852481964035749
kappa
1
kappa
1
kappa
1
kappa
1
kb_relative_information_score
0.9761499084357724
kb_relative_information_score
0.9935175157897455
kb_relative_information_score
0.9893322412726322
kb_relative_information_score
0.9829918045072068
kb_relative_information_score
0.9976588000107747
kb_relative_information_score
0.9890449634211497
kb_relative_information_score
0.9972833135786433
kb_relative_information_score
0.998553853322787
kb_relative_information_score
0.9965087170218351
kb_relative_information_score
0.9947961084642347
mean_absolute_error
0.011398287495425912
mean_absolute_error
0.0036194562120108837
mean_absolute_error
0.005551914236669169
mean_absolute_error
0.008721717457854064
mean_absolute_error
0.0015823181245495303
mean_absolute_error
0.005453286451304713
mean_absolute_error
0.0016828216650638657
mean_absolute_error
0.0009738984864594345
mean_absolute_error
0.002320999043578739
mean_absolute_error
0.003378707416171111
mean_prior_absolute_error
0.49358690378246245
mean_prior_absolute_error
0.49358690378246245
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
0.49394383705734374
mean_prior_absolute_error
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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
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]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
number_of_instances
137 [76,61]
precision
0.9859673337934206 [1,0.968254]
precision
1 [1,1]
precision
0.9928184600894748 [1,0.983871]
precision
0.992795525642241 [0.987013,1]
precision
1 [1,1]
precision
0.9928184600894748 [1,0.983871]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
predictive_accuracy
0.9855072463768115
predictive_accuracy
1
predictive_accuracy
0.9927007299270073
predictive_accuracy
0.9927007299270073
predictive_accuracy
1
predictive_accuracy
0.9927007299270073
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
0.02309276726768556
relative_absolute_error
0.007332966462996107
relative_absolute_error
0.011239970660924812
relative_absolute_error
0.01765730595974928
relative_absolute_error
0.003203437325944069
relative_absolute_error
0.011040296572566855
relative_absolute_error
0.00340690892124341
relative_absolute_error
0.001971678586499645
relative_absolute_error
0.0046989128509144365
relative_absolute_error
0.006840266367730517
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
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_prior_squared_error
0.4969943259580404
root_mean_squared_error
0.09641365442206794
root_mean_squared_error
0.03464113786509712
root_mean_squared_error
0.04651631587673323
root_mean_squared_error
0.08513087491345722
root_mean_squared_error
0.007158937356959337
root_mean_squared_error
0.05095519402602831
root_mean_squared_error
0.01777469587290451
root_mean_squared_error
0.006150429467489965
root_mean_squared_error
0.012003629261358457
root_mean_squared_error
0.018595938429479247
root_relative_squared_error
0.19413378877106566
root_relative_squared_error
0.06975169006302963
root_relative_squared_error
0.0935952654732329
root_relative_squared_error
0.17129144231043905
root_relative_squared_error
0.014404464966796711
root_relative_squared_error
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root_relative_squared_error
0.03576438390647778
root_relative_squared_error
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root_relative_squared_error
0.02415244729045837
root_relative_squared_error
0.037416802281660735
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
0.987012987012987 [0.974026,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.993421052631579 [0.986842,1]
unweighted_recall
0.9918032786885246 [1,0.983607]
unweighted_recall
1 [1,1]
unweighted_recall
0.993421052631579 [0.986842,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
usercpu_time_millis
131.93918199999644
usercpu_time_millis
95.09730099999558
usercpu_time_millis
92.67954700000303
usercpu_time_millis
93.85787499998344
usercpu_time_millis
89.10430800000313
usercpu_time_millis
122.45699599999682
usercpu_time_millis
109.25271600001452
usercpu_time_millis
88.04861699999833
usercpu_time_millis
80.58313799999439
usercpu_time_millis
71.9323340000102
usercpu_time_millis_testing
5.650959999996985
usercpu_time_millis_testing
5.56202599999267
usercpu_time_millis_testing
5.619955000000232
usercpu_time_millis_testing
5.361463999989269
usercpu_time_millis_testing
5.525824999992324
usercpu_time_millis_testing
5.362387999994667
usercpu_time_millis_testing
5.978912000003334
usercpu_time_millis_testing
5.671692000007056
usercpu_time_millis_testing
5.275169000000801
usercpu_time_millis_testing
3.5668600000065
usercpu_time_millis_training
126.28822199999945
usercpu_time_millis_training
89.53527500000291
usercpu_time_millis_training
87.0595920000028
usercpu_time_millis_training
88.49641099999417
usercpu_time_millis_training
83.5784830000108
usercpu_time_millis_training
117.09460800000215
usercpu_time_millis_training
103.27380400001118
usercpu_time_millis_training
82.37692499999127
usercpu_time_millis_training
75.30796899999359
usercpu_time_millis_training
68.3654740000037
wall_clock_time_millis
137.6478672027588
wall_clock_time_millis
95.29542922973633
wall_clock_time_millis
94.90227699279785
wall_clock_time_millis
99.41744804382324
wall_clock_time_millis
94.6347713470459
wall_clock_time_millis
136.1558437347412
wall_clock_time_millis
112.21528053283691
wall_clock_time_millis
95.2296257019043
wall_clock_time_millis
80.81889152526855
wall_clock_time_millis
72.98421859741211
wall_clock_time_millis_testing
5.656719207763672
wall_clock_time_millis_testing
5.567789077758789
wall_clock_time_millis_testing
5.626678466796875
wall_clock_time_millis_testing
5.367040634155273
wall_clock_time_millis_testing
5.583763122558594
wall_clock_time_millis_testing
5.367517471313477
wall_clock_time_millis_testing
7.028341293334961
wall_clock_time_millis_testing
5.677223205566406
wall_clock_time_millis_testing
5.280256271362305
wall_clock_time_millis_testing
3.571033477783203
wall_clock_time_millis_training
131.99114799499512
wall_clock_time_millis_training
89.72764015197754
wall_clock_time_millis_training
89.27559852600098
wall_clock_time_millis_training
94.05040740966797
wall_clock_time_millis_training
89.0510082244873
wall_clock_time_millis_training
130.78832626342773
wall_clock_time_millis_training
105.18693923950195
wall_clock_time_millis_training
89.55240249633789
wall_clock_time_millis_training
75.53863525390625
wall_clock_time_millis_training
69.4131851196289
weighted_recall
0.9855072463768116 [0.974026,1]
weighted_recall
1 [1,1]
weighted_recall
0.9927007299270073 [0.986842,1]
weighted_recall
0.9927007299270073 [1,0.983607]
weighted_recall
1 [1,1]
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]