10581176
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)
8297458
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
0.3209215092382815
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1901
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
29
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
1
19040
random_state
44025
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.08745335779040249
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
22088619
description
https://api.openml.org/data/download/22088619/description.xml
-1
22088620
predictions
https://api.openml.org/data/download/22088620/predictions.arff
area_under_roc_curve
0.9997934684393958 [0.999793,0.999793]
average_cost
0
f_measure
0.9956268221574344 [0.996063,0.995082]
kappa
0.991144959339099
kb_relative_information_score
0.9778227732877354
mean_absolute_error
0.012963410422961999
mean_prior_absolute_error
0.49387203415364794
weighted_recall
0.9956268221574344 [0.996063,0.995082]
number_of_instances
1372 [762,610]
precision
0.9956268221574344 [0.996063,0.995082]
predictive_accuracy
0.9956268221574344
prior_entropy
0.9911281447384036
relative_absolute_error
0.026248520925420467
root_mean_prior_squared_error
0.4969220835611905
root_mean_squared_error
0.06037527195790275
root_relative_squared_error
0.12149846818081331
total_cost
0
unweighted_recall
0.9955724796695495 [0.996063,0.995082]
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
0.9978429680759276 [0.997843,0.997843]
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
0.9997842968075926 [0.999784,0.999784]
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
0.9780832644332389 [0.980392,0.975207]
f_measure
0.9926944214777463 [0.993464,0.991736]
f_measure
0.9927062319881188 [0.993377,0.99187]
f_measure
1 [1,1]
f_measure
0.9927062319881188 [0.993377,0.99187]
f_measure
1 [1,1]
f_measure
1 [1,1]
kappa
1
kappa
1
kappa
1
kappa
0.9556011666846711
kappa
0.9852003888948904
kappa
0.9852481964035749
kappa
1
kappa
0.9852481964035749
kappa
1
kappa
1
kb_relative_information_score
0.9892759151157136
kb_relative_information_score
0.989264047920099
kb_relative_information_score
0.9903747899355108
kb_relative_information_score
0.9452534383034826
kb_relative_information_score
0.9607372970567263
kb_relative_information_score
0.9714119827170155
kb_relative_information_score
0.9832128317297507
kb_relative_information_score
0.965810251089924
kb_relative_information_score
0.9925731220178226
kb_relative_information_score
0.9901710013713462
mean_absolute_error
0.006581032477089238
mean_absolute_error
0.005838564770893833
mean_absolute_error
0.005318902676514453
mean_absolute_error
0.030561567748614824
mean_absolute_error
0.023332409695754147
mean_absolute_error
0.016124868110507493
mean_absolute_error
0.010899915218677676
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0.019678652572553693
mean_absolute_error
0.004891604503258141
mean_absolute_error
0.00650517932873407
mean_prior_absolute_error
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number_of_instances
138 [77,61]
number_of_instances
138 [77,61]
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137 [76,61]
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137 [76,61]
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137 [76,61]
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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
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
0.9781701267102726 [0.974026,0.983333]
precision
0.992795525642241 [0.987013,1]
precision
0.9928184600894748 [1,0.983871]
precision
1 [1,1]
precision
0.9928184600894748 [1,0.983871]
precision
1 [1,1]
precision
1 [1,1]
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
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predictive_accuracy
0.9927007299270073
predictive_accuracy
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predictive_accuracy
1
predictive_accuracy
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1
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1
prior_entropy
0.9903020513891087
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0.9913361755453535
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prior_entropy
0.9913361755453535
prior_entropy
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relative_absolute_error
0.013333077572880018
relative_absolute_error
0.011828848630609236
relative_absolute_error
0.01076823370892056
relative_absolute_error
0.06187255605958056
relative_absolute_error
0.04723696895330511
relative_absolute_error
0.0326451448540606
relative_absolute_error
0.022067114519767284
relative_absolute_error
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relative_absolute_error
0.009903159299242873
relative_absolute_error
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root_mean_prior_squared_error
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root_mean_squared_error
0.019446986553337306
root_mean_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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total_cost
0
total_cost
0
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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
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9770276100086281 [0.986842,0.967213]
unweighted_recall
0.9918032786885246 [1,0.983607]
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]
usercpu_time_millis
164.23191700000928
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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86.50350299998877
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136.60256100000367
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104.7589360000103
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usercpu_time_millis_testing
5.552577000003112
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usercpu_time_millis_testing
5.475576999998566
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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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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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164.99996185302734
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
131.38318061828613
wall_clock_time_millis_training
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weighted_recall
1 [1,1]
weighted_recall
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weighted_recall
1 [1,1]
weighted_recall
0.9781021897810219 [0.986842,0.967213]
weighted_recall
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weighted_recall
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weighted_recall
1 [1,1]
weighted_recall
0.9927007299270073 [0.986842,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]