10581275
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)
8297557
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
0.29818636263973003
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1539
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
152
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
14
19040
random_state
6510
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.06559224397506987
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
22088817
description
https://api.openml.org/data/download/22088817/description.xml
-1
22088818
predictions
https://api.openml.org/data/download/22088818/predictions.arff
area_under_roc_curve
0.9999720321845016 [0.999972,0.999972]
average_cost
0
f_measure
0.9970850183684611 [0.997372,0.996727]
kappa
0.9940985693762205
kb_relative_information_score
0.9928740135557892
mean_absolute_error
0.003728125063697507
mean_prior_absolute_error
0.49387203415364794
weighted_recall
0.9970845481049563 [0.996063,0.998361]
number_of_instances
1372 [762,610]
precision
0.9970897757599281 [0.998684,0.995098]
predictive_accuracy
0.9970845481049563
prior_entropy
0.9911281447384036
relative_absolute_error
0.007548767303834933
root_mean_prior_squared_error
0.4969220835611905
root_mean_squared_error
0.044292112188377634
root_relative_squared_error
0.0891329116849836
total_cost
0
unweighted_recall
0.9972118239318446 [0.996063,0.998361]
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
1 [1,1]
area_under_roc_curve
1 [1,1]
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
1 [1,1]
f_measure
0.985421866415509 [0.986667,0.983871]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
0.9926944214777463 [0.993464,0.991736]
f_measure
1 [1,1]
kappa
0.9853347502656747
kappa
1
kappa
1
kappa
1
kappa
1
kappa
0.9705439690389164
kappa
1
kappa
1
kappa
0.9852003888948904
kappa
1
kb_relative_information_score
0.9863911009990137
kb_relative_information_score
0.995716929297032
kb_relative_information_score
0.9967157817778188
kb_relative_information_score
0.9916602503518671
kb_relative_information_score
0.9980221806163079
kb_relative_information_score
0.9711647362073008
kb_relative_information_score
0.9991940798638278
kb_relative_information_score
0.9995396804723446
kb_relative_information_score
0.9914196122994855
kb_relative_information_score
0.9989385281704445
mean_absolute_error
0.006708067355127515
mean_absolute_error
0.002511934690033507
mean_absolute_error
0.0021335857940428006
mean_absolute_error
0.004359588130904788
mean_absolute_error
0.0012948033852148196
mean_absolute_error
0.014332057061752992
mean_absolute_error
0.0005507527782476579
mean_absolute_error
0.00031565480880634987
mean_absolute_error
0.004342156131727473
mean_absolute_error
0.0007197763995277588
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
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
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
1 [1,1]
precision
0.9858649055729347 [1,0.968254]
precision
1 [1,1]
precision
1 [1,1]
precision
0.992795525642241 [0.987013,1]
precision
1 [1,1]
predictive_accuracy
0.9927536231884058
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9854014598540146
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9927007299270073
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
0.01359044841692953
relative_absolute_error
0.005089143716707255
relative_absolute_error
0.0043194906666992276
relative_absolute_error
0.0088260806266496
relative_absolute_error
0.002621357506814082
relative_absolute_error
0.029015560042485417
relative_absolute_error
0.0011150109322726886
relative_absolute_error
0.0006390499994632069
relative_absolute_error
0.008790789166630248
relative_absolute_error
0.001457202915650909
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
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_squared_error
0.06357029623224451
root_mean_squared_error
0.026018755634014526
root_mean_squared_error
0.014920410358943658
root_mean_squared_error
0.042310699777418415
root_mean_squared_error
0.010853957397963871
root_mean_squared_error
0.10377669412366466
root_mean_squared_error
0.0024489916369091077
root_mean_squared_error
0.0011373183510113767
root_mean_squared_error
0.04435971996796408
root_mean_squared_error
0.004318979720223299
root_relative_squared_error
0.12800201936998548
root_relative_squared_error
0.05239008562239095
root_relative_squared_error
0.030021289136816707
root_relative_squared_error
0.08513316464097935
root_relative_squared_error
0.021839197815872523
root_relative_squared_error
0.20880860948184388
root_relative_squared_error
0.004927604821620978
root_relative_squared_error
0.0022883930290733276
root_relative_squared_error
0.08925598875289621
root_relative_squared_error
0.00869019925307545
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
1 [1,1]
unweighted_recall
0.986842105263158 [0.973684,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9918032786885246 [1,0.983607]
unweighted_recall
1 [1,1]
usercpu_time_millis
275.3908050000291
usercpu_time_millis
277.69913600005225
usercpu_time_millis
273.0873140000085
usercpu_time_millis
271.0729139999728
usercpu_time_millis
268.79178100000445
usercpu_time_millis
269.2514439999911
usercpu_time_millis
273.455915999989
usercpu_time_millis
271.1355400000173
usercpu_time_millis
269.05917800002044
usercpu_time_millis
261.813898000014
usercpu_time_millis_testing
6.011947000018836
usercpu_time_millis_testing
6.353862000025856
usercpu_time_millis_testing
5.679396000004999
usercpu_time_millis_testing
6.157039999976632
usercpu_time_millis_testing
5.692035999999234
usercpu_time_millis_testing
6.014319000001933
usercpu_time_millis_testing
5.693318999988151
usercpu_time_millis_testing
5.931829000019206
usercpu_time_millis_testing
5.702510000020311
usercpu_time_millis_testing
3.8076570000100673
usercpu_time_millis_training
269.37885800001027
usercpu_time_millis_training
271.3452740000264
usercpu_time_millis_training
267.4079180000035
usercpu_time_millis_training
264.91587399999617
usercpu_time_millis_training
263.0997450000052
usercpu_time_millis_training
263.2371249999892
usercpu_time_millis_training
267.7625970000008
usercpu_time_millis_training
265.20371099999807
usercpu_time_millis_training
263.3566680000001
usercpu_time_millis_training
258.0062410000039
wall_clock_time_millis
279.45470809936523
wall_clock_time_millis
294.97504234313965
wall_clock_time_millis
278.6417007446289
wall_clock_time_millis
283.25533866882324
wall_clock_time_millis
275.01845359802246
wall_clock_time_millis
278.1810760498047
wall_clock_time_millis
287.5690460205078
wall_clock_time_millis
275.1476764678955
wall_clock_time_millis
271.7251777648926
wall_clock_time_millis
262.892484664917
wall_clock_time_millis_testing
6.027460098266602
wall_clock_time_millis_testing
6.359100341796875
wall_clock_time_millis_testing
5.711793899536133
wall_clock_time_millis_testing
6.361961364746094
wall_clock_time_millis_testing
5.697727203369141
wall_clock_time_millis_testing
6.01959228515625
wall_clock_time_millis_testing
5.69915771484375
wall_clock_time_millis_testing
5.9375762939453125
wall_clock_time_millis_testing
5.716800689697266
wall_clock_time_millis_testing
3.8115978240966797
wall_clock_time_millis_training
273.42724800109863
wall_clock_time_millis_training
288.6159420013428
wall_clock_time_millis_training
272.9299068450928
wall_clock_time_millis_training
276.89337730407715
wall_clock_time_millis_training
269.3207263946533
wall_clock_time_millis_training
272.16148376464844
wall_clock_time_millis_training
281.86988830566406
wall_clock_time_millis_training
269.2101001739502
wall_clock_time_millis_training
266.0083770751953
wall_clock_time_millis_training
259.0808868408203
weighted_recall
0.9927536231884058 [0.987013,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
0.9854014598540146 [0.973684,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
0.9927007299270073 [1,0.983607]
weighted_recall
1 [1,1]