10581136
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)
8297418
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
"most_frequent"
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
0.40373300512022964
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
982
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
18
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
19
19040
random_state
42079
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.20009308206945747
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
22088539
description
https://api.openml.org/data/download/22088539/description.xml
-1
22088540
predictions
https://api.openml.org/data/download/22088540/predictions.arff
area_under_roc_curve
0.9999763349253475 [0.999976,0.999976]
average_cost
0
f_measure
0.9978139365137135 [0.998028,0.997547]
kappa
0.9955746503586728
kb_relative_information_score
0.99327808976111
mean_absolute_error
0.003507136702562346
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
0.007101306532921128
root_mean_prior_squared_error
0.4969220835611905
root_mean_squared_error
0.04718894598908643
root_relative_squared_error
0.09496246504262196
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
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
0.9927593990347404 [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
0.9841520942029885
kb_relative_information_score
0.9989431516879813
kb_relative_information_score
0.998140300538592
kb_relative_information_score
0.9943843149720704
kb_relative_information_score
0.9870863416269937
kb_relative_information_score
0.9837687702840897
kb_relative_information_score
0.9999538885891649
kb_relative_information_score
0.9994132101471382
kb_relative_information_score
0.9984265685320013
kb_relative_information_score
0.988533882652421
mean_absolute_error
0.007979480032633903
mean_absolute_error
0.0007043491586861743
mean_absolute_error
0.0011826231956195768
mean_absolute_error
0.0031325011251166707
mean_absolute_error
0.0060824815774933655
mean_absolute_error
0.008144760101809114
mean_absolute_error
0.00003167051334239529
mean_absolute_error
0.00040013002361969486
mean_absolute_error
0.0010599290522053876
mean_absolute_error
0.006341255706511776
mean_prior_absolute_error
0.49358690378246245
mean_prior_absolute_error
0.49358690378246245
mean_prior_absolute_error
0.49394383705734374
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mean_prior_absolute_error
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mean_prior_absolute_error
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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
0.992870500233754 [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
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
0.016166312297764454
relative_absolute_error
0.001427001310789641
relative_absolute_error
0.0023942462824620317
relative_absolute_error
0.006341816397140323
relative_absolute_error
0.012314115737792326
relative_absolute_error
0.016489243291972808
relative_absolute_error
0.00006411764044080692
relative_absolute_error
0.00081007190210826
relative_absolute_error
0.002145849330806281
relative_absolute_error
0.012838009568637652
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
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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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0.4969943259580404
root_mean_squared_error
0.08404126336023114
root_mean_squared_error
0.006353384400159819
root_mean_squared_error
0.013072601829862201
root_mean_squared_error
0.032731318948117184
root_mean_squared_error
0.070950297411499
root_mean_squared_error
0.08112894989563257
root_mean_squared_error
0.00017061490721573857
root_mean_squared_error
0.002460591396997368
root_mean_squared_error
0.006387356207963471
root_mean_squared_error
0.047332447248572385
root_relative_squared_error
0.16922135113565662
root_relative_squared_error
0.012792862095264566
root_relative_squared_error
0.026303322084537995
root_relative_squared_error
0.06585853648333317
root_relative_squared_error
0.14275876746626903
root_relative_squared_error
0.1632391873674671
root_relative_squared_error
0.00034329347098047765
root_relative_squared_error
0.004950944645603676
root_relative_squared_error
0.012851970081651868
root_relative_squared_error
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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
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]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
usercpu_time_millis
162.12306799999965
usercpu_time_millis
226.06754199999557
usercpu_time_millis
290.1763169999896
usercpu_time_millis
221.33849099999736
usercpu_time_millis
289.9615530000119
usercpu_time_millis
184.36286600000074
usercpu_time_millis
231.9716009999837
usercpu_time_millis
144.04389099998127
usercpu_time_millis
156.77772799999445
usercpu_time_millis
128.39767299999494
usercpu_time_millis_testing
5.493240999996374
usercpu_time_millis_testing
5.633004999992863
usercpu_time_millis_testing
6.43071499999337
usercpu_time_millis_testing
6.089039000002572
usercpu_time_millis_testing
5.714745000005905
usercpu_time_millis_testing
5.5219620000031
usercpu_time_millis_testing
5.8883509999958505
usercpu_time_millis_testing
5.526999999986515
usercpu_time_millis_testing
5.753024000000551
usercpu_time_millis_testing
5.622533999996904
usercpu_time_millis_training
156.62982700000327
usercpu_time_millis_training
220.4345370000027
usercpu_time_millis_training
283.7456019999962
usercpu_time_millis_training
215.2494519999948
usercpu_time_millis_training
284.246808000006
usercpu_time_millis_training
178.84090399999764
usercpu_time_millis_training
226.08324999998786
usercpu_time_millis_training
138.51689099999476
usercpu_time_millis_training
151.0247039999939
usercpu_time_millis_training
122.77513899999803
wall_clock_time_millis
163.39421272277832
wall_clock_time_millis
227.73051261901855
wall_clock_time_millis
310.1639747619629
wall_clock_time_millis
223.76465797424316
wall_clock_time_millis
303.0586242675781
wall_clock_time_millis
190.16146659851074
wall_clock_time_millis
242.74468421936035
wall_clock_time_millis
144.17028427124023
wall_clock_time_millis
164.63232040405273
wall_clock_time_millis
128.82637977600098
wall_clock_time_millis_testing
5.499601364135742
wall_clock_time_millis_testing
5.638837814331055
wall_clock_time_millis_testing
6.436586380004883
wall_clock_time_millis_testing
6.235599517822266
wall_clock_time_millis_testing
5.721092224121094
wall_clock_time_millis_testing
5.527734756469727
wall_clock_time_millis_testing
5.8994293212890625
wall_clock_time_millis_testing
5.596160888671875
wall_clock_time_millis_testing
5.757808685302734
wall_clock_time_millis_testing
5.627870559692383
wall_clock_time_millis_training
157.89461135864258
wall_clock_time_millis_training
222.0916748046875
wall_clock_time_millis_training
303.727388381958
wall_clock_time_millis_training
217.5290584564209
wall_clock_time_millis_training
297.33753204345703
wall_clock_time_millis_training
184.63373184204102
wall_clock_time_millis_training
236.8452548980713
wall_clock_time_millis_training
138.57412338256836
wall_clock_time_millis_training
158.87451171875
wall_clock_time_millis_training
123.1985092163086
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]