10581233
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)
8297515
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
0.09450249353040287
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
426
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
93
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
4
19040
random_state
30163
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.3512927672487774
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
22088733
description
https://api.openml.org/data/download/22088733/description.xml
-1
22088734
predictions
https://api.openml.org/data/download/22088734/predictions.arff
area_under_roc_curve
0.9997160191041693 [0.999716,0.999716]
average_cost
0
f_measure
0.9912536443148688 [0.992126,0.990164]
kappa
0.982289918678198
kb_relative_information_score
0.9625499225260011
mean_absolute_error
0.021778241423432546
mean_prior_absolute_error
0.49387203415364794
weighted_recall
0.9912536443148688 [0.992126,0.990164]
number_of_instances
1372 [762,610]
precision
0.9912536443148688 [0.992126,0.990164]
predictive_accuracy
0.9912536443148688
prior_entropy
0.9911281447384036
relative_absolute_error
0.04409693183124668
root_mean_prior_squared_error
0.4969220835611905
root_mean_squared_error
0.07957167554994736
root_relative_squared_error
0.16012907894875028
total_cost
0
unweighted_recall
0.9911449593390991 [0.992126,0.990164]
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
0.9989214840379638 [0.998921,0.998921]
area_under_roc_curve
0.999137187230371 [0.999137,0.999137]
area_under_roc_curve
0.999137187230371 [0.999137,0.999137]
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]
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
1 [1,1]
f_measure
0.9781186959643561 [0.980132,0.97561]
f_measure
0.9926944214777463 [0.993464,0.991736]
f_measure
0.985421866415509 [0.986667,0.983871]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
0.9853746010680315 [0.987013,0.983333]
f_measure
0.9853746010680315 [0.987013,0.983333]
kappa
0.9707192870782941
kappa
1
kappa
1
kappa
0.9557445892107247
kappa
0.9852003888948904
kappa
0.9705439690389164
kappa
1
kappa
1
kappa
0.9703527375027051
kappa
0.9703527375027051
kb_relative_information_score
0.9533280569328096
kb_relative_information_score
0.9731388725125857
kb_relative_information_score
0.9695234114997331
kb_relative_information_score
0.946312754612127
kb_relative_information_score
0.9563129795646472
kb_relative_information_score
0.9562067136714728
kb_relative_information_score
0.982923743275163
kb_relative_information_score
0.9781423546378921
kb_relative_information_score
0.956554690639838
kb_relative_information_score
0.9530471056952774
mean_absolute_error
0.026126976521927747
mean_absolute_error
0.016965032437619456
mean_absolute_error
0.019494436462001906
mean_absolute_error
0.02956880758063899
mean_absolute_error
0.024547038879359995
mean_absolute_error
0.024554146712917342
mean_absolute_error
0.011371772871880551
mean_absolute_error
0.014267148708896317
mean_absolute_error
0.025162408826647973
mean_absolute_error
0.02572803555278046
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
0.9859673337934206 [1,0.968254]
precision
1 [1,1]
precision
1 [1,1]
precision
0.9782403265049838 [0.986667,0.967742]
precision
0.992795525642241 [0.987013,1]
precision
0.9858649055729347 [1,0.968254]
precision
1 [1,1]
precision
1 [1,1]
precision
0.9857757813962194 [0.974359,1]
precision
0.9857757813962194 [0.974359,1]
predictive_accuracy
0.9855072463768115
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9781021897810218
predictive_accuracy
0.9927007299270073
predictive_accuracy
0.9854014598540146
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9854014598540146
predictive_accuracy
0.9854014598540146
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
0.052932880353411156
relative_absolute_error
0.034370912817201525
relative_absolute_error
0.0394669089873445
relative_absolute_error
0.05986269159019033
relative_absolute_error
0.04969601205189294
relative_absolute_error
0.049710402014929406
relative_absolute_error
0.023022400562030615
relative_absolute_error
0.028884151675810852
relative_absolute_error
0.050941841842895144
relative_absolute_error
0.05208696540492234
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
0.09888361587931149
root_mean_squared_error
0.048356504580936474
root_mean_squared_error
0.04930724351515734
root_mean_squared_error
0.10843926830407194
root_mean_squared_error
0.0932410739609659
root_mean_squared_error
0.1004297949954609
root_mean_squared_error
0.025847607054212896
root_mean_squared_error
0.03619749812874235
root_mean_squared_error
0.0799124419516455
root_mean_squared_error
0.09934540872130744
root_relative_squared_error
0.1991071815823586
root_relative_squared_error
0.09736827736999329
root_relative_squared_error
0.09921087815260128
root_relative_squared_error
0.21819015356973534
root_relative_squared_error
0.1876099365545633
root_relative_squared_error
0.20207432912209916
root_relative_squared_error
0.05200785140632597
root_relative_squared_error
0.072832819688566
root_relative_squared_error
0.16079145732217526
root_relative_squared_error
0.19989244048169447
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
1 [1,1]
unweighted_recall
0.9786453839516824 [0.973684,0.983607]
unweighted_recall
0.9918032786885246 [1,0.983607]
unweighted_recall
0.986842105263158 [0.973684,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9836065573770492 [1,0.967213]
unweighted_recall
0.9836065573770492 [1,0.967213]
usercpu_time_millis
226.08692800000085
usercpu_time_millis
224.03654500000414
usercpu_time_millis
227.0710900000097
usercpu_time_millis
225.43564800000127
usercpu_time_millis
221.68961299999523
usercpu_time_millis
221.53011400000366
usercpu_time_millis
222.72613100000171
usercpu_time_millis
222.18516800000998
usercpu_time_millis
221.5721999999829
usercpu_time_millis
205.07374799998956
usercpu_time_millis_testing
6.235426000003486
usercpu_time_millis_testing
6.10054300000229
usercpu_time_millis_testing
5.711738000002242
usercpu_time_millis_testing
5.8693349999998645
usercpu_time_millis_testing
5.75007099999425
usercpu_time_millis_testing
5.765715999999088
usercpu_time_millis_testing
5.695115999998279
usercpu_time_millis_testing
5.651558000010937
usercpu_time_millis_testing
5.679235999991761
usercpu_time_millis_testing
4.016415999998912
usercpu_time_millis_training
219.85150199999737
usercpu_time_millis_training
217.93600200000185
usercpu_time_millis_training
221.35935200000745
usercpu_time_millis_training
219.5663130000014
usercpu_time_millis_training
215.93954200000098
usercpu_time_millis_training
215.76439800000458
usercpu_time_millis_training
217.03101500000344
usercpu_time_millis_training
216.53360999999904
usercpu_time_millis_training
215.89296399999114
usercpu_time_millis_training
201.05733199999065
wall_clock_time_millis
226.6066074371338
wall_clock_time_millis
231.38713836669922
wall_clock_time_millis
231.63414001464844
wall_clock_time_millis
245.76950073242188
wall_clock_time_millis
222.54300117492676
wall_clock_time_millis
233.29854011535645
wall_clock_time_millis
223.32382202148438
wall_clock_time_millis
222.8531837463379
wall_clock_time_millis
223.7858772277832
wall_clock_time_millis
205.69348335266113
wall_clock_time_millis_testing
6.242036819458008
wall_clock_time_millis_testing
8.512496948242188
wall_clock_time_millis_testing
5.716562271118164
wall_clock_time_millis_testing
5.891084671020508
wall_clock_time_millis_testing
5.755424499511719
wall_clock_time_millis_testing
6.048679351806641
wall_clock_time_millis_testing
5.700588226318359
wall_clock_time_millis_testing
5.657672882080078
wall_clock_time_millis_testing
5.684852600097656
wall_clock_time_millis_testing
4.020452499389648
wall_clock_time_millis_training
220.36457061767578
wall_clock_time_millis_training
222.87464141845703
wall_clock_time_millis_training
225.91757774353027
wall_clock_time_millis_training
239.87841606140137
wall_clock_time_millis_training
216.78757667541504
wall_clock_time_millis_training
227.2498607635498
wall_clock_time_millis_training
217.62323379516602
wall_clock_time_millis_training
217.1955108642578
wall_clock_time_millis_training
218.10102462768555
wall_clock_time_millis_training
201.67303085327148
weighted_recall
0.9855072463768116 [0.974026,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
0.9781021897810219 [0.973684,0.983607]
weighted_recall
0.9927007299270073 [1,0.983607]
weighted_recall
0.9854014598540146 [0.973684,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
0.9854014598540146 [1,0.967213]
weighted_recall
0.9854014598540146 [1,0.967213]