10581152
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)
8297434
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
0.05623538976990229
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
683
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
63
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
15
19040
random_state
57314
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.17937503418556755
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
22088571
description
https://api.openml.org/data/download/22088571/description.xml
-1
22088572
predictions
https://api.openml.org/data/download/22088572/predictions.arff
area_under_roc_curve
0.9995804827675228 [0.99958,0.99958]
average_cost
0
f_measure
0.9927136894858193 [0.993421,0.99183]
kappa
0.9852512448293358
kb_relative_information_score
0.9338494356469056
mean_absolute_error
0.04017013540714453
mean_prior_absolute_error
0.49387203415364794
weighted_recall
0.9927113702623906 [0.990814,0.995082]
number_of_instances
1372 [762,610]
precision
0.9927330695854946 [0.996042,0.988599]
predictive_accuracy
0.9927113702623906
prior_entropy
0.9911281447384036
relative_absolute_error
0.08133713316240793
root_mean_prior_squared_error
0.4969220835611905
root_mean_squared_error
0.09160701656609523
root_relative_squared_error
0.1843488538677811
total_cost
0
unweighted_recall
0.992947807753539 [0.990814,0.995082]
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
0.9984900776531492 [0.99849,0.99849]
area_under_roc_curve
0.9995685936151854 [0.999569,0.999569]
area_under_roc_curve
0.9984900776531492 [0.99849,0.99849]
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
0.9993528904227784 [0.999353,0.999353]
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
0.9927593990347404 [0.993464,0.99187]
f_measure
1 [1,1]
f_measure
0.9926944214777463 [0.993464,0.991736]
f_measure
0.9781186959643561 [0.980132,0.97561]
f_measure
0.985421866415509 [0.986667,0.983871]
f_measure
1 [1,1]
f_measure
0.9926944214777463 [0.993464,0.991736]
f_measure
1 [1,1]
f_measure
0.9927062319881188 [0.993377,0.99187]
kappa
0.9853347502656747
kappa
0.9853347502656747
kappa
1
kappa
0.9852003888948904
kappa
0.9557445892107247
kappa
0.9705439690389164
kappa
1
kappa
0.9852003888948904
kappa
1
kappa
0.9852481964035749
kb_relative_information_score
0.9281590223594677
kb_relative_information_score
0.9309641033674031
kb_relative_information_score
0.9385223008736184
kb_relative_information_score
0.9235716440885092
kb_relative_information_score
0.9316900809280113
kb_relative_information_score
0.919280768018266
kb_relative_information_score
0.9610001850195204
kb_relative_information_score
0.9403065394805502
kb_relative_information_score
0.9302472210103719
kb_relative_information_score
0.9348060768164569
mean_absolute_error
0.0431111862513811
mean_absolute_error
0.04134799471981926
mean_absolute_error
0.0393506111983575
mean_absolute_error
0.046307290536928475
mean_absolute_error
0.039517220269879805
mean_absolute_error
0.04770349180824818
mean_absolute_error
0.025815255925631178
mean_absolute_error
0.03665000900378683
mean_absolute_error
0.04333537811052616
mean_absolute_error
0.038532851209245926
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
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
0.992870500233754 [1,0.983871]
precision
0.992870500233754 [1,0.983871]
precision
1 [1,1]
precision
0.992795525642241 [0.987013,1]
precision
0.9782403265049838 [0.986667,0.967742]
precision
0.9858649055729347 [1,0.968254]
precision
1 [1,1]
precision
0.992795525642241 [0.987013,1]
precision
1 [1,1]
precision
0.9928184600894748 [1,0.983871]
predictive_accuracy
0.9927536231884058
predictive_accuracy
0.9927536231884058
predictive_accuracy
1
predictive_accuracy
0.9927007299270073
predictive_accuracy
0.9781021897810218
predictive_accuracy
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predictive_accuracy
1
predictive_accuracy
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predictive_accuracy
1
predictive_accuracy
0.9927007299270073
prior_entropy
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prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
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prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
prior_entropy
0.9913361755453535
relative_absolute_error
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relative_absolute_error
0.08377044529131687
relative_absolute_error
0.07966616494860557
relative_absolute_error
0.09375011299422792
relative_absolute_error
0.08000346862368506
relative_absolute_error
0.09657675271836645
relative_absolute_error
0.052263544939491154
relative_absolute_error
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relative_absolute_error
0.08773341189697888
relative_absolute_error
0.07801059213291188
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
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.4969943259580404
root_mean_squared_error
0.09393265859855726
root_mean_squared_error
0.09301665557902566
root_mean_squared_error
0.07073982680266967
root_mean_squared_error
0.10678973223630969
root_mean_squared_error
0.10339437009910098
root_mean_squared_error
0.11827857803066502
root_mean_squared_error
0.04250053956552848
root_mean_squared_error
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root_mean_squared_error
0.08509218211804144
root_mean_squared_error
0.10077602132652493
root_relative_squared_error
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root_relative_squared_error
0.18729375911132717
root_relative_squared_error
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root_relative_squared_error
0.21487112962598612
root_relative_squared_error
0.2080393370684683
root_relative_squared_error
0.2379877834674734
root_relative_squared_error
0.08551514040648557
root_relative_squared_error
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root_relative_squared_error
0.17121358871454298
root_relative_squared_error
0.20277096953222182
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
0.9935064935064934 [0.987013,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9918032786885246 [1,0.983607]
unweighted_recall
0.9786453839516824 [0.973684,0.983607]
unweighted_recall
0.986842105263158 [0.973684,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9918032786885246 [1,0.983607]
unweighted_recall
1 [1,1]
unweighted_recall
0.993421052631579 [0.986842,1]
usercpu_time_millis
273.33979100001216
usercpu_time_millis
274.39066200000184
usercpu_time_millis
275.3883179999974
usercpu_time_millis
275.8595979999967
usercpu_time_millis
276.41094799999166
usercpu_time_millis
276.82089399999654
usercpu_time_millis
284.31436399999654
usercpu_time_millis
283.743477999991
usercpu_time_millis
280.2426209999993
usercpu_time_millis
264.4167689999932
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5.76648600001306
usercpu_time_millis_testing
5.971392000006404
usercpu_time_millis_testing
5.650880999994001
usercpu_time_millis_testing
5.896696999997175
usercpu_time_millis_testing
5.814502999996307
usercpu_time_millis_testing
5.74361099999976
usercpu_time_millis_testing
5.773977000004038
usercpu_time_millis_testing
5.947865999999635
usercpu_time_millis_testing
5.819846999997935
usercpu_time_millis_testing
3.8034450000026254
usercpu_time_millis_training
267.5733049999991
usercpu_time_millis_training
268.41926999999544
usercpu_time_millis_training
269.7374370000034
usercpu_time_millis_training
269.96290099999953
usercpu_time_millis_training
270.59644499999536
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
277.79561199999137
usercpu_time_millis_training
274.42277400000137
usercpu_time_millis_training
260.6133239999906
wall_clock_time_millis
281.369686126709
wall_clock_time_millis
289.20507431030273
wall_clock_time_millis
281.5704345703125
wall_clock_time_millis
286.6337299346924
wall_clock_time_millis
280.75623512268066
wall_clock_time_millis
296.76342010498047
wall_clock_time_millis
298.6631393432617
wall_clock_time_millis
287.07432746887207
wall_clock_time_millis
285.23921966552734
wall_clock_time_millis
268.9030170440674
wall_clock_time_millis_testing
5.772590637207031
wall_clock_time_millis_testing
5.97691535949707
wall_clock_time_millis_testing
5.7506561279296875
wall_clock_time_millis_testing
5.913496017456055
wall_clock_time_millis_testing
5.846500396728516
wall_clock_time_millis_testing
5.764245986938477
wall_clock_time_millis_testing
5.779504776000977
wall_clock_time_millis_testing
5.953311920166016
wall_clock_time_millis_testing
5.843639373779297
wall_clock_time_millis_testing
3.8080215454101562
wall_clock_time_millis_training
275.59709548950195
wall_clock_time_millis_training
283.22815895080566
wall_clock_time_millis_training
275.8197784423828
wall_clock_time_millis_training
280.7202339172363
wall_clock_time_millis_training
274.90973472595215
wall_clock_time_millis_training
290.999174118042
wall_clock_time_millis_training
292.88363456726074
wall_clock_time_millis_training
281.12101554870605
wall_clock_time_millis_training
279.39558029174805
wall_clock_time_millis_training
265.0949954986572
weighted_recall
0.9927536231884058 [0.987013,1]
weighted_recall
0.9927536231884058 [0.987013,1]
weighted_recall
1 [1,1]
weighted_recall
0.9927007299270073 [1,0.983607]
weighted_recall
0.9781021897810219 [0.973684,0.983607]
weighted_recall
0.9854014598540146 [0.973684,1]
weighted_recall
1 [1,1]
weighted_recall
0.9927007299270073 [1,0.983607]
weighted_recall
1 [1,1]
weighted_recall
0.9927007299270073 [0.986842,1]