10578873
28997
Marc Boel
28
Supervised Classification
19037
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(1)
8295155
Python_3.8.10. Sklearn_0.24.2. NumPy_1.17.4. SciPy_1.3.3.
add_indicator
false
18819
copy
true
18819
fill_value
null
18819
missing_values
NaN
18819
strategy
"most_frequent"
18819
verbose
0
18819
n_jobs
null
18996
remainder
"drop"
18996
sparse_threshold
0.3
18996
transformer_weights
null
18996
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"}}}]
18996
verbose
false
18996
categories
"auto"
18997
drop
null
18997
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
18997
handle_unknown
"ignore"
18997
sparse
true
18997
memory
null
19037
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"}}]
19037
verbose
false
19037
ccp_alpha
0.0
19038
criterion
"friedman_mse"
19038
init
null
19038
learning_rate
0.47510882318901776
19038
loss
"deviance"
19038
max_depth
3
19038
max_features
null
19038
max_leaf_nodes
1089
19038
min_impurity_decrease
0.0
19038
min_impurity_split
null
19038
min_samples_leaf
146
19038
min_samples_split
2
19038
min_weight_fraction_leaf
0.0
19038
n_estimators
100
19038
n_iter_no_change
3
19038
random_state
57600
19038
subsample
1.0
19038
tol
0.0001
19038
validation_fraction
0.021933890869800056
19038
verbose
0
19038
warm_start
false
19038
openml-python
Sklearn_0.24.2.
28
optdigits
https://www.openml.org/data/download/28/dataset_28_optdigits.arff
-1
22084013
description
https://api.openml.org/data/download/22084013/description.xml
-1
22084014
predictions
https://api.openml.org/data/download/22084014/predictions.arff
area_under_roc_curve
0.999539442704344 [0.99992,0.999583,0.999889,0.999601,0.999753,0.999541,0.999718,0.999807,0.999413,0.998173]
average_cost
0
f_measure
0.9765364183386792 [0.990958,0.976542,0.984671,0.970976,0.980634,0.975785,0.989189,0.980668,0.971119,0.945133]
kappa
0.9739022491051853
kb_relative_information_score
0.974576120964566
mean_absolute_error
0.006500916687833414
mean_prior_absolute_error
0.17999735782507298
weighted_recall
0.9765124555160143 [0.98917,0.984238,0.980251,0.965035,0.980634,0.97491,0.983871,0.985866,0.971119,0.950178]
number_of_instances
5620 [554,571,557,572,568,558,558,566,554,562]
precision
0.9766013288044876 [0.992754,0.968966,0.98913,0.976991,0.980634,0.976661,0.994565,0.975524,0.971119,0.940141]
predictive_accuracy
0.9765124555160142
prior_entropy
3.3218327251668773
relative_absolute_error
0.036116733969790864
root_mean_prior_squared_error
0.2999977942685968
root_mean_squared_error
0.0596645507040278
root_relative_squared_error
0.19888329795721224
total_cost
0
unweighted_recall
0.9765272123981058 [0.98917,0.984238,0.980251,0.965035,0.980634,0.97491,0.983871,0.985866,0.971119,0.950178]
area_under_roc_curve
0.9996552553361912 [1,0.999722,0.999965,0.999966,0.999375,1,0.9994,0.999965,0.999641,0.998518]
area_under_roc_curve
0.9996758729064564 [1,0.999931,1,0.998495,0.999896,0.999894,1,0.999965,0.999785,0.998835]
area_under_roc_curve
0.9998662956191953 [1,0.999931,1,0.999826,0.999861,1,1,1,1,0.999047]
area_under_roc_curve
0.9994371754059773 [1,0.999618,0.999718,0.999305,1,0.999859,1,0.999861,0.999677,0.99633]
area_under_roc_curve
0.9998699438676948 [0.999785,0.999861,1,1,1,0.999857,0.999894,0.999965,0.999606,0.999722]
area_under_roc_curve
0.9990400073015403 [0.999821,0.999687,1,0.999409,0.999027,0.997992,0.999153,0.999444,0.997669,0.998159]
area_under_roc_curve
0.9998662259851235 [0.999965,0.999896,1,0.999548,1,0.999965,1,0.999826,1,0.999471]
area_under_roc_curve
0.9995109250709203 [0.999929,0.999305,0.999964,0.999757,0.999965,0.999824,1,0.999548,0.999929,0.996894]
area_under_roc_curve
0.9986913372196953 [1,0.998563,0.999139,0.999514,0.999647,0.997424,1,0.999577,0.998412,0.994636]
area_under_roc_curve
0.9997361425760399 [1,0.999618,0.999965,0.999792,0.999965,1,0.999788,1,0.998871,0.999365]
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
0.9768457669622678 [1,0.965517,0.982143,0.991304,0.964286,0.99115,0.972973,0.99115,0.955752,0.954128]
f_measure
0.9751642476518639 [0.990826,0.982143,0.982456,0.947368,0.982456,0.982456,0.990991,0.990991,0.963636,0.93913]
f_measure
0.9857307881024548 [0.990826,0.982456,0.99115,0.973913,0.982456,0.99115,1,0.991304,0.990826,0.963636]
f_measure
0.975021099645106 [1,0.965517,0.981818,0.964286,1,0.972973,0.99115,0.973913,0.982143,0.918919]
f_measure
0.9839666133359145 [0.981481,0.982759,1,1,0.991304,0.981818,0.981818,0.991304,0.964286,0.964286]
f_measure
0.955601695470105 [0.981818,0.974359,0.953271,0.940171,0.948276,0.933333,0.990991,0.973451,0.945455,0.915254]
f_measure
0.9841203316760743 [0.990991,0.99115,1,0.982143,0.99115,0.957265,1,0.982456,1,0.946429]
f_measure
0.9768788082342261 [0.99115,0.973451,0.981818,0.954955,0.982456,0.982143,1,0.948276,0.990991,0.964912]
f_measure
0.9753207226542723 [0.99115,0.982759,0.981481,0.973451,0.982143,0.981818,0.990991,0.973451,0.963636,0.932203]
f_measure
0.9767936757166998 [0.99115,0.966102,0.99115,0.982456,0.982143,0.981818,0.972973,0.99115,0.954128,0.954955]
kappa
0.9742979064719602
kappa
0.9723208223544186
kappa
0.9841829375549692
kappa
0.972320627605495
kappa
0.9822058047493404
kappa
0.9505692452750532
kappa
0.982206305539334
kappa
0.9742978160531353
kappa
0.9723204328538309
kappa
0.9742976352135766
kb_relative_information_score
0.9752907968463829
kb_relative_information_score
0.9751166063702563
kb_relative_information_score
0.9846453838759662
kb_relative_information_score
0.9679365256599847
kb_relative_information_score
0.9809517307719556
kb_relative_information_score
0.9590611731528614
kb_relative_information_score
0.9835853739405674
kb_relative_information_score
0.9774482224477703
kb_relative_information_score
0.9645631790219743
kb_relative_information_score
0.9771621359849177
mean_absolute_error
0.006459987463984303
mean_absolute_error
0.0067233380550078894
mean_absolute_error
0.004327406190236192
mean_absolute_error
0.008251775150271961
mean_absolute_error
0.0054118116865211965
mean_absolute_error
0.009688574435030992
mean_absolute_error
0.00416195279959687
mean_absolute_error
0.005504308360596858
mean_absolute_error
0.008908358054436433
mean_absolute_error
0.005571654682651327
mean_prior_absolute_error
0.17999677629374952
mean_prior_absolute_error
0.17999677629374952
mean_prior_absolute_error
0.17999715555330845
mean_prior_absolute_error
0.17999715555330845
mean_prior_absolute_error
0.1799969027136025
mean_prior_absolute_error
0.1799969027136025
mean_prior_absolute_error
0.17999759802279386
mean_prior_absolute_error
0.17999759802279386
mean_prior_absolute_error
0.1799979140724263
mean_prior_absolute_error
0.17999879901139712
number_of_instances
562 [55,57,56,58,57,56,56,56,55,56]
number_of_instances
562 [55,57,56,58,57,56,56,56,55,56]
number_of_instances
562 [55,57,56,57,57,56,56,57,55,56]
number_of_instances
562 [55,57,56,57,57,56,56,57,55,56]
number_of_instances
562 [55,57,56,57,57,55,56,57,55,57]
number_of_instances
562 [55,57,56,57,57,55,56,57,55,57]
number_of_instances
562 [56,57,55,57,57,56,55,57,56,56]
number_of_instances
562 [56,57,55,57,57,56,55,57,56,56]
number_of_instances
562 [56,58,55,57,56,56,56,56,56,56]
number_of_instances
562 [56,57,56,57,56,56,56,56,56,56]
precision
0.977282081776061 [1,0.949153,0.982143,1,0.981818,0.982456,0.981818,0.982456,0.931034,0.981132]
precision
0.9756596792725799 [1,1,0.965517,0.964286,0.982456,0.965517,1,1,0.963636,0.915254]
precision
0.9858536918508758 [1,0.982456,0.982456,0.965517,0.982456,0.982456,1,0.982759,1,0.981481]
precision
0.9752608972328253 [1,0.949153,1,0.981818,1,0.981818,0.982456,0.965517,0.964912,0.927273]
precision
0.9842903538973687 [1,0.966102,1,1,0.982759,0.981818,1,0.982759,0.947368,0.981818]
precision
0.957076072012321 [0.981818,0.95,1,0.916667,0.932203,0.98,1,0.982143,0.945455,0.885246]
precision
0.9847150107928357 [1,1,1,1,1,0.918033,1,0.982456,1,0.946429]
precision
0.9771942573975756 [0.982456,0.982143,0.981818,0.981481,0.982456,0.982143,1,0.932203,1,0.948276]
precision
0.9762903145087044 [0.982456,0.982759,1,0.982143,0.982143,1,1,0.964912,0.981481,0.887097]
precision
0.9772309206989044 [0.982456,0.934426,0.982456,0.982456,0.982143,1,0.981818,0.982456,0.981132,0.963636]
predictive_accuracy
0.9768683274021351
predictive_accuracy
0.9750889679715303
predictive_accuracy
0.9857651245551601
predictive_accuracy
0.9750889679715303
predictive_accuracy
0.9839857651245552
predictive_accuracy
0.9555160142348754
predictive_accuracy
0.9839857651245552
predictive_accuracy
0.9768683274021351
predictive_accuracy
0.9750889679715303
predictive_accuracy
0.9768683274021351
prior_entropy
3.3217909017967746
prior_entropy
3.3217909017967746
prior_entropy
3.321817923867619
prior_entropy
3.321817923867619
prior_entropy
3.3217996202390836
prior_entropy
3.3217996202390836
prior_entropy
3.3218501976437715
prior_entropy
3.3218501976437715
prior_entropy
3.321873176216062
prior_entropy
3.3219367883600994
relative_absolute_error
0.035889462005929434
relative_absolute_error
0.03735254704804044
relative_absolute_error
0.024041525417075695
relative_absolute_error
0.045843919726987536
relative_absolute_error
0.03006613783311629
relative_absolute_error
0.0538263397256714
relative_absolute_error
0.02312226854866043
relative_absolute_error
0.030579898960095147
relative_absolute_error
0.04949145161122228
relative_absolute_error
0.03095384365480429
root_mean_prior_squared_error
0.2999968250410308
root_mean_prior_squared_error
0.2999968250410308
root_mean_prior_squared_error
0.2999974571463194
root_mean_prior_squared_error
0.2999974571463194
root_mean_prior_squared_error
0.2999970357429417
root_mean_prior_squared_error
0.2999970357429417
root_mean_prior_squared_error
0.2999981946008062
root_mean_prior_squared_error
0.2999981946008062
root_mean_prior_squared_error
0.2999987213529011
root_mean_prior_squared_error
0.3000001962538465
root_mean_squared_error
0.05974713141812728
root_mean_squared_error
0.05816480157466783
root_mean_squared_error
0.04431383508665606
root_mean_squared_error
0.06549818628589021
root_mean_squared_error
0.04982831816194283
root_mean_squared_error
0.07958469633465026
root_mean_squared_error
0.047594647838726724
root_mean_squared_error
0.05827125384963274
root_mean_squared_error
0.0682850440939899
root_mean_squared_error
0.05702430980595902
root_relative_squared_error
0.19915921246818402
root_relative_squared_error
0.19388472383570254
root_relative_squared_error
0.1477140356727845
root_relative_squared_error
0.21832913821647634
root_relative_squared_error
0.1660960350442902
root_relative_squared_error
0.2652849423580437
root_relative_squared_error
0.15864978088304407
root_relative_squared_error
0.194238681759974
root_relative_squared_error
0.22761778378936262
root_relative_squared_error
0.19008090833949873
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
0.9769401363911345 [1,0.982456,0.982143,0.982759,0.947368,1,0.964286,1,0.981818,0.928571]
unweighted_recall
0.9752428877837224 [0.981818,0.964912,1,0.931034,0.982456,1,0.982143,0.982143,0.963636,0.964286]
unweighted_recall
0.9857433356117566 [0.981818,0.982456,1,0.982456,0.982456,1,1,1,0.981818,0.946429]
unweighted_recall
0.97515664160401 [1,0.982456,0.964286,0.947368,1,0.964286,1,0.982456,1,0.910714]
unweighted_recall
0.9838926862611073 [0.963636,1,1,1,1,0.981818,0.964286,1,0.981818,0.947368]
unweighted_recall
0.9553144224196857 [0.981818,1,0.910714,0.964912,0.964912,0.890909,0.982143,0.964912,0.945455,0.947368]
unweighted_recall
0.9840852130325815 [0.982143,0.982456,1,0.964912,0.982456,1,1,0.982456,1,0.946429]
unweighted_recall
0.9770352016404649 [1,0.964912,0.981818,0.929825,0.982456,0.982143,1,0.964912,0.982143,0.982143]
unweighted_recall
0.9750592979313486 [1,0.982759,0.963636,0.964912,0.982143,0.964286,0.982143,0.982143,0.946429,0.982143]
unweighted_recall
0.9768170426065164 [1,1,1,0.982456,0.982143,0.964286,0.964286,1,0.928571,0.946429]
usercpu_time_millis
4299.514252001245
usercpu_time_millis
3671.8125459992734
usercpu_time_millis
5163.165366000612
usercpu_time_millis
3382.3328429989488
usercpu_time_millis
4145.051649999004
usercpu_time_millis
5032.309960999555
usercpu_time_millis
5432.163868001226
usercpu_time_millis
5986.145075999957
usercpu_time_millis
3202.885039998364
usercpu_time_millis
4448.881556998458
usercpu_time_millis_testing
3.923700000086683
usercpu_time_millis_testing
4.768400998727884
usercpu_time_millis_testing
5.220600000029663
usercpu_time_millis_testing
3.7766999994346406
usercpu_time_millis_testing
3.8406009989557788
usercpu_time_millis_testing
4.085200000190525
usercpu_time_millis_testing
4.211900000882451
usercpu_time_millis_testing
4.530899999735993
usercpu_time_millis_testing
4.169799998635426
usercpu_time_millis_testing
3.9328009988821577
usercpu_time_millis_training
4295.590552001158
usercpu_time_millis_training
3667.0441450005455
usercpu_time_millis_training
5157.944766000583
usercpu_time_millis_training
3378.556142999514
usercpu_time_millis_training
4141.211049000049
usercpu_time_millis_training
5028.224760999365
usercpu_time_millis_training
5427.951968000343
usercpu_time_millis_training
5981.614176000221
usercpu_time_millis_training
3198.7152399997285
usercpu_time_millis_training
4444.948755999576
wall_clock_time_millis
4311.566352844238
wall_clock_time_millis
3671.9703674316406
wall_clock_time_millis
5165.809631347656
wall_clock_time_millis
3387.256383895874
wall_clock_time_millis
4146.10481262207
wall_clock_time_millis
5036.67140007019
wall_clock_time_millis
5442.1656131744385
wall_clock_time_millis
5994.351625442505
wall_clock_time_millis
3210.1058959960938
wall_clock_time_millis
4450.488567352295
wall_clock_time_millis_testing
3.9267539978027344
wall_clock_time_millis_testing
4.773139953613281
wall_clock_time_millis_testing
5.223989486694336
wall_clock_time_millis_testing
3.778219223022461
wall_clock_time_millis_testing
3.843545913696289
wall_clock_time_millis_testing
4.088401794433594
wall_clock_time_millis_testing
4.214763641357422
wall_clock_time_millis_testing
4.534244537353516
wall_clock_time_millis_testing
4.174232482910156
wall_clock_time_millis_testing
3.936290740966797
wall_clock_time_millis_training
4307.639598846436
wall_clock_time_millis_training
3667.1972274780273
wall_clock_time_millis_training
5160.585641860962
wall_clock_time_millis_training
3383.4781646728516
wall_clock_time_millis_training
4142.261266708374
wall_clock_time_millis_training
5032.582998275757
wall_clock_time_millis_training
5437.950849533081
wall_clock_time_millis_training
5989.817380905151
wall_clock_time_millis_training
3205.9316635131836
wall_clock_time_millis_training
4446.552276611328
weighted_recall
0.9768683274021353 [1,0.982456,0.982143,0.982759,0.947368,1,0.964286,1,0.981818,0.928571]
weighted_recall
0.9750889679715302 [0.981818,0.964912,1,0.931034,0.982456,1,0.982143,0.982143,0.963636,0.964286]
weighted_recall
0.9857651245551602 [0.981818,0.982456,1,0.982456,0.982456,1,1,1,0.981818,0.946429]
weighted_recall
0.9750889679715302 [1,0.982456,0.964286,0.947368,1,0.964286,1,0.982456,1,0.910714]
weighted_recall
0.9839857651245552 [0.963636,1,1,1,1,0.981818,0.964286,1,0.981818,0.947368]
weighted_recall
0.9555160142348754 [0.981818,1,0.910714,0.964912,0.964912,0.890909,0.982143,0.964912,0.945455,0.947368]
weighted_recall
0.9839857651245552 [0.982143,0.982456,1,0.964912,0.982456,1,1,0.982456,1,0.946429]
weighted_recall
0.9768683274021353 [1,0.964912,0.981818,0.929825,0.982456,0.982143,1,0.964912,0.982143,0.982143]
weighted_recall
0.9750889679715302 [1,0.982759,0.963636,0.964912,0.982143,0.964286,0.982143,0.982143,0.946429,0.982143]
weighted_recall
0.9768683274021353 [1,1,1,0.982456,0.982143,0.964286,0.964286,1,0.928571,0.946429]