10581138
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)
8297420
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
0.15452530918192492
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
2003
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
140
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
14572
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.19723228263677905
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
22088543
description
https://api.openml.org/data/download/22088543/description.xml
-1
22088544
predictions
https://api.openml.org/data/download/22088544/predictions.arff
area_under_roc_curve
0.9998364958478551 [0.999836,0.999836]
average_cost
0
f_measure
0.994898373474492 [0.995404,0.994267]
kappa
0.9896708080947137
kb_relative_information_score
0.9761374697885401
mean_absolute_error
0.013923536309012535
mean_prior_absolute_error
0.49387203415364794
weighted_recall
0.9948979591836735 [0.994751,0.995082]
number_of_instances
1372 [762,610]
precision
0.9948998574806882 [0.996058,0.993453]
predictive_accuracy
0.9948979591836735
prior_entropy
0.9911281447384036
relative_absolute_error
0.028192599187911904
root_mean_prior_squared_error
0.4969220835611905
root_mean_squared_error
0.06613672702373523
root_relative_squared_error
0.13309275077848542
total_cost
0
unweighted_recall
0.9949163116905468 [0.994751,0.995082]
area_under_roc_curve
0.999787098147754 [0.999787,0.999787]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9997842968075926 [0.999784,0.999784]
area_under_roc_curve
0.9989214840379638 [0.998921,0.998921]
area_under_roc_curve
1 [1,1]
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
0.9997842968075926 [0.999784,0.999784]
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
0.9854014598540146 [0.986842,0.983607]
f_measure
0.9926944214777463 [0.993464,0.991736]
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
0.9704486626402071
kappa
0.9852003888948904
kappa
1
kappa
0.9705439690389164
kappa
1
kappa
1
kappa
0.9852003888948904
kappa
1
kb_relative_information_score
0.9730353023759704
kb_relative_information_score
0.9921442650288625
kb_relative_information_score
0.9676454114179083
kb_relative_information_score
0.9574486008991232
kb_relative_information_score
0.980308180319296
kb_relative_information_score
0.9566802631573723
kb_relative_information_score
0.9827333824243571
kb_relative_information_score
0.9913037874812907
kb_relative_information_score
0.9727832730296865
kb_relative_information_score
0.9872115972641683
mean_absolute_error
0.015294477148051861
mean_absolute_error
0.005124009098039867
mean_absolute_error
0.017290874166532688
mean_absolute_error
0.024472575295750764
mean_absolute_error
0.012670377388681705
mean_absolute_error
0.023735151160672385
mean_absolute_error
0.011299181383023582
mean_absolute_error
0.005825892583817742
mean_absolute_error
0.015255847045539193
mean_absolute_error
0.008321201078204795
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
1 [1,1]
precision
0.9854014598540146 [0.986842,0.983607]
precision
0.992795525642241 [0.987013,1]
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
0.9854014598540146
predictive_accuracy
0.9927007299270073
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
0.03098639171916232
relative_absolute_error
0.01038116906825016
relative_absolute_error
0.03500574937738382
relative_absolute_error
0.04954525891353444
relative_absolute_error
0.025651453542097243
relative_absolute_error
0.04805232777490223
relative_absolute_error
0.022875437520059227
relative_absolute_error
0.011794645760792016
relative_absolute_error
0.030885792879663133
relative_absolute_error
0.01684645187148829
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
0.0792349986542589
root_mean_squared_error
0.021449888166510778
root_mean_squared_error
0.09003789245407966
root_mean_squared_error
0.0907792311989172
root_mean_squared_error
0.03813096321707673
root_mean_squared_error
0.10964748875497562
root_mean_squared_error
0.0314826642952871
root_mean_squared_error
0.016700304712330916
root_mean_squared_error
0.07151798541264764
root_mean_squared_error
0.028424298329992537
root_relative_squared_error
0.15954369310267288
root_relative_squared_error
0.04319043898337351
root_relative_squared_error
0.18116482976041312
root_relative_squared_error
0.18265647404308877
root_relative_squared_error
0.07672313591019951
root_relative_squared_error
0.22062120838826801
root_relative_squared_error
0.06334612419286469
root_relative_squared_error
0.033602606388188155
root_relative_squared_error
0.1439010098853436
root_relative_squared_error
0.057192400084648674
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
0.9852243313201035 [0.986842,0.983607]
unweighted_recall
0.9918032786885246 [1,0.983607]
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
242.35469999999282
usercpu_time_millis
240.66740299998912
usercpu_time_millis
243.2262920000028
usercpu_time_millis
204.79086199999585
usercpu_time_millis
212.17641799999853
usercpu_time_millis
196.6697380000113
usercpu_time_millis
196.39943699999662
usercpu_time_millis
241.33893100000137
usercpu_time_millis
241.69135900000072
usercpu_time_millis
220.88717599999086
usercpu_time_millis_testing
5.82035799999403
usercpu_time_millis_testing
5.82961599999976
usercpu_time_millis_testing
6.136425999997641
usercpu_time_millis_testing
5.6769369999898345
usercpu_time_millis_testing
6.331451999997739
usercpu_time_millis_testing
5.72398500000304
usercpu_time_millis_testing
5.70552799999291
usercpu_time_millis_testing
5.721997999998507
usercpu_time_millis_testing
5.676371000006952
usercpu_time_millis_testing
3.922430000002919
usercpu_time_millis_training
236.5343419999988
usercpu_time_millis_training
234.83778699998936
usercpu_time_millis_training
237.08986600000514
usercpu_time_millis_training
199.11392500000602
usercpu_time_millis_training
205.8449660000008
usercpu_time_millis_training
190.94575300000827
usercpu_time_millis_training
190.6939090000037
usercpu_time_millis_training
235.61693300000286
usercpu_time_millis_training
236.01498799999376
usercpu_time_millis_training
216.96474599998794
wall_clock_time_millis
256.21986389160156
wall_clock_time_millis
246.59228324890137
wall_clock_time_millis
243.51048469543457
wall_clock_time_millis
205.67774772644043
wall_clock_time_millis
226.51410102844238
wall_clock_time_millis
206.7403793334961
wall_clock_time_millis
199.24068450927734
wall_clock_time_millis
244.23933029174805
wall_clock_time_millis
248.17728996276855
wall_clock_time_millis
233.17241668701172
wall_clock_time_millis_testing
5.825042724609375
wall_clock_time_millis_testing
5.835056304931641
wall_clock_time_millis_testing
6.141424179077148
wall_clock_time_millis_testing
5.682229995727539
wall_clock_time_millis_testing
14.054059982299805
wall_clock_time_millis_testing
5.7315826416015625
wall_clock_time_millis_testing
5.783796310424805
wall_clock_time_millis_testing
5.72657585144043
wall_clock_time_millis_testing
5.681514739990234
wall_clock_time_millis_testing
3.9501190185546875
wall_clock_time_millis_training
250.3948211669922
wall_clock_time_millis_training
240.75722694396973
wall_clock_time_millis_training
237.36906051635742
wall_clock_time_millis_training
199.9955177307129
wall_clock_time_millis_training
212.46004104614258
wall_clock_time_millis_training
201.00879669189453
wall_clock_time_millis_training
193.45688819885254
wall_clock_time_millis_training
238.51275444030762
wall_clock_time_millis_training
242.49577522277832
wall_clock_time_millis_training
229.22229766845703
weighted_recall
0.9927536231884058 [0.987013,1]
weighted_recall
1 [1,1]
weighted_recall
0.9854014598540146 [0.986842,0.983607]
weighted_recall
0.9927007299270073 [1,0.983607]
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]