10581201
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)
8297483
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
0.452806176938419
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
295
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
34
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
1
19040
random_state
19248
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.017840844466423103
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
22088669
description
https://api.openml.org/data/download/22088669/description.xml
-1
22088670
predictions
https://api.openml.org/data/download/22088670/predictions.arff
area_under_roc_curve
0.9992233552773117 [0.999223,0.999223]
average_cost
0
f_measure
0.9898036992932947 [0.990753,0.988618]
kappa
0.9793719661497486
kb_relative_information_score
0.9520989867554458
mean_absolute_error
0.02796747984335483
mean_prior_absolute_error
0.49387203415364794
weighted_recall
0.9897959183673469 [0.984252,0.996721]
number_of_instances
1372 [762,610]
precision
0.9899176039667754 [0.99734,0.980645]
predictive_accuracy
0.989795918367347
prior_entropy
0.9911281447384036
relative_absolute_error
0.05662900085299
root_mean_prior_squared_error
0.4969220835611905
root_mean_squared_error
0.09164174190355333
root_relative_squared_error
0.1844187347175297
total_cost
0
unweighted_recall
0.9904866399896735 [0.984252,0.996721]
area_under_roc_curve
0.9980838833297848 [0.998084,0.998084]
area_under_roc_curve
0.9929742388758783 [0.992974,0.992974]
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]
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
0.9783057875035991 [0.980132,0.976]
f_measure
0.956632160110421 [0.96,0.952381]
f_measure
0.9927062319881188 [0.993377,0.99187]
f_measure
0.9926944214777463 [0.993464,0.991736]
f_measure
1 [1,1]
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
0.985421866415509 [0.986667,0.983871]
kappa
0.9561533573395468
kappa
0.912455064495665
kappa
0.9852481964035749
kappa
0.9852003888948904
kappa
1
kappa
0.9852481964035749
kappa
1
kappa
1
kappa
1
kappa
0.9705439690389164
kb_relative_information_score
0.8630864515996254
kb_relative_information_score
0.8312041925665216
kb_relative_information_score
0.9850912770836671
kb_relative_information_score
0.9742431996317964
kb_relative_information_score
0.9721641339742716
kb_relative_information_score
0.9607444487718512
kb_relative_information_score
0.9976573749667805
kb_relative_information_score
0.9943365774714907
kb_relative_information_score
0.9937821848415664
kb_relative_information_score
0.9499916312978857
mean_absolute_error
0.081432239686673
mean_absolute_error
0.09595869094810504
mean_absolute_error
0.008288104434046286
mean_absolute_error
0.014309765947583371
mean_absolute_error
0.01676636503886168
mean_absolute_error
0.023334396419470698
mean_absolute_error
0.001590070304867354
mean_absolute_error
0.003703393500171403
mean_absolute_error
0.0040271395443860665
mean_absolute_error
0.02937809267545526
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
0.9792798913043478 [1,0.953125]
precision
0.9583543317909012 [0.986301,0.923077]
precision
0.9928184600894748 [1,0.983871]
precision
0.992795525642241 [0.987013,1]
precision
1 [1,1]
precision
0.9928184600894748 [1,0.983871]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
0.9858649055729347 [1,0.968254]
predictive_accuracy
0.9782608695652173
predictive_accuracy
0.9565217391304348
predictive_accuracy
0.9927007299270073
predictive_accuracy
0.9927007299270073
predictive_accuracy
1
predictive_accuracy
0.9927007299270073
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
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
0.16498055167720266
relative_absolute_error
0.19441093394649042
relative_absolute_error
0.01677944699831145
relative_absolute_error
0.02897043119888567
relative_absolute_error
0.03394386928430329
relative_absolute_error
0.047240991118514
relative_absolute_error
0.0032191317829576584
relative_absolute_error
0.007497600379497118
relative_absolute_error
0.00815303126035064
relative_absolute_error
0.05947658513258189
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
0.14191249797887448
root_mean_squared_error
0.190004670030158
root_mean_squared_error
0.049529928855037146
root_mean_squared_error
0.08882939030876318
root_mean_squared_error
0.05791766280301714
root_mean_squared_error
0.07879447787100834
root_mean_squared_error
0.006178235586523793
root_mean_squared_error
0.018112711460727095
root_mean_squared_error
0.020432428807499983
root_mean_squared_error
0.08223512518260516
root_relative_squared_error
0.2857480205656351
root_relative_squared_error
0.38258405096516995
root_relative_squared_error
0.0996589423019264
root_relative_squared_error
0.17873320814584662
root_relative_squared_error
0.11653586324425552
root_relative_squared_error
0.15854200693160567
root_relative_squared_error
0.012431199439981938
root_relative_squared_error
0.03644450351784558
root_relative_squared_error
0.0411119961341873
root_relative_squared_error
0.1654649175804635
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
0.9805194805194806 [0.961039,1]
unweighted_recall
0.9593357462209922 [0.935065,0.983607]
unweighted_recall
0.993421052631579 [0.986842,1]
unweighted_recall
0.9918032786885246 [1,0.983607]
unweighted_recall
1 [1,1]
unweighted_recall
0.993421052631579 [0.986842,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.986842105263158 [0.973684,1]
usercpu_time_millis
41.3462289999984
usercpu_time_millis
41.04709300000309
usercpu_time_millis
105.35660599998664
usercpu_time_millis
102.41189900000336
usercpu_time_millis
74.64212099999656
usercpu_time_millis
69.98660099999654
usercpu_time_millis
118.10379499999613
usercpu_time_millis
111.15172099999882
usercpu_time_millis
106.64744700000028
usercpu_time_millis
41.176989000007325
usercpu_time_millis_testing
5.380238000000759
usercpu_time_millis_testing
5.8150250000039705
usercpu_time_millis_testing
5.866928999992638
usercpu_time_millis_testing
6.0652869999984205
usercpu_time_millis_testing
5.409396000004563
usercpu_time_millis_testing
5.607611000002066
usercpu_time_millis_testing
5.472689999990621
usercpu_time_millis_testing
5.5688220000007504
usercpu_time_millis_testing
5.697322000003169
usercpu_time_millis_testing
3.5576050000116766
usercpu_time_millis_training
35.96599099999764
usercpu_time_millis_training
35.23206799999912
usercpu_time_millis_training
99.489676999994
usercpu_time_millis_training
96.34661200000494
usercpu_time_millis_training
69.232724999992
usercpu_time_millis_training
64.37898999999447
usercpu_time_millis_training
112.6311050000055
usercpu_time_millis_training
105.58289899999806
usercpu_time_millis_training
100.95012499999712
usercpu_time_millis_training
37.61938399999565
wall_clock_time_millis
41.41426086425781
wall_clock_time_millis
48.94852638244629
wall_clock_time_millis
105.55911064147949
wall_clock_time_millis
110.0919246673584
wall_clock_time_millis
77.72660255432129
wall_clock_time_millis
70.18494606018066
wall_clock_time_millis
118.59869956970215
wall_clock_time_millis
112.49470710754395
wall_clock_time_millis
106.84037208557129
wall_clock_time_millis
41.235923767089844
wall_clock_time_millis_testing
5.386114120483398
wall_clock_time_millis_testing
5.833864212036133
wall_clock_time_millis_testing
5.872964859008789
wall_clock_time_millis_testing
6.100654602050781
wall_clock_time_millis_testing
5.416154861450195
wall_clock_time_millis_testing
5.613565444946289
wall_clock_time_millis_testing
5.479574203491211
wall_clock_time_millis_testing
5.575418472290039
wall_clock_time_millis_testing
5.701541900634766
wall_clock_time_millis_testing
3.5619735717773438
wall_clock_time_millis_training
36.028146743774414
wall_clock_time_millis_training
43.114662170410156
wall_clock_time_millis_training
99.6861457824707
wall_clock_time_millis_training
103.99127006530762
wall_clock_time_millis_training
72.3104476928711
wall_clock_time_millis_training
64.57138061523438
wall_clock_time_millis_training
113.11912536621094
wall_clock_time_millis_training
106.9192886352539
wall_clock_time_millis_training
101.13883018493652
wall_clock_time_millis_training
37.6739501953125
weighted_recall
0.9782608695652174 [0.961039,1]
weighted_recall
0.9565217391304348 [0.935065,0.983607]
weighted_recall
0.9927007299270073 [0.986842,1]
weighted_recall
0.9927007299270073 [1,0.983607]
weighted_recall
1 [1,1]
weighted_recall
0.9927007299270073 [0.986842,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
0.9854014598540146 [0.973684,1]