10464786
12269
Marc Zöller
9983
Supervised Classification
17868
sklearn.pipeline.Pipeline(step_0=automl.util.sklearn.StackingEstimator(estimator=sklearn.ensemble._weight_boosting.AdaBoostClassifier),step_1=sklearn.discriminant_analysis.LinearDiscriminantAnalysis)(1)
8275468
algorithm
"SAMME.R"
17696
base_estimator
null
17696
learning_rate
10.663728212608708
17696
n_estimators
336
17696
random_state
42
17696
n_components
269
17705
priors
null
17705
shrinkage
null
17705
solver
"svd"
17705
store_covariance
false
17705
tol
0.0010058235872081908
17705
memory
null
17868
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "step_0", "step_name": "step_0"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "step_1", "step_name": "step_1"}}]
17868
verbose
false
17868
automl_meta_features
openml-python
Sklearn_0.22.1.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
21854210
description
https://api.openml.org/data/download/21854210/description.xml
-1
21854211
predictions
https://api.openml.org/data/download/21854211/predictions.arff
area_under_roc_curve
0.7121849668280648 [0.712185,0.712185]
average_cost
0
f_measure
0.6557960165046884 [0.718557,0.578715]
kappa
0.3040333729140136
kb_relative_information_score
0.1519232889079986
mean_absolute_error
0.4297320099226698
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.6625500667556742 [0.781519,0.516436]
number_of_instances
14980 [8257,6723]
precision
0.6618826681200153 [0.664984,0.658074]
predictive_accuracy
0.6625500667556743
prior_entropy
0.9924223735239917
relative_absolute_error
0.8685710010152039
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.4628657379605464
root_relative_squared_error
0.9306237895571213
total_cost
0
unweighted_recall
0.64897741311304 [0.781519,0.516436]
area_under_roc_curve
0.7364666205465238 [0.736467,0.736467]
area_under_roc_curve
0.6970609218263577 [0.697061,0.697061]
area_under_roc_curve
0.6843166291940505 [0.684317,0.684317]
area_under_roc_curve
0.7120841980860141 [0.712084,0.712084]
area_under_roc_curve
0.7050535786348437 [0.705054,0.705054]
area_under_roc_curve
0.7164854289173297 [0.716485,0.716485]
area_under_roc_curve
0.7343245560936239 [0.734325,0.734325]
area_under_roc_curve
0.6921860507001666 [0.692186,0.692186]
area_under_roc_curve
0.7258913053266692 [0.725891,0.725891]
area_under_roc_curve
0.7200972578684316 [0.720097,0.720097]
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
0.6770562100848144 [0.734489,0.606462]
f_measure
0.6477508557042491 [0.710615,0.570481]
f_measure
0.6389853726140614 [0.693761,0.571657]
f_measure
0.670125141722279 [0.729202,0.59751]
f_measure
0.6374159383792265 [0.712105,0.545611]
f_measure
0.6547384028996542 [0.717863,0.577148]
f_measure
0.6691158668984617 [0.738729,0.58355]
f_measure
0.6420318858777567 [0.704431,0.56554]
f_measure
0.6573944335395535 [0.722038,0.578151]
f_measure
0.6624095773837669 [0.721256,0.590272]
kappa
0.3466299862448418
kappa
0.28738203605132545
kappa
0.26844385375266777
kappa
0.33268610078825217
kappa
0.2690765130540534
kappa
0.3018236573531874
kappa
0.3334757890101921
kappa
0.27589306515848894
kappa
0.30802456525859956
kappa
0.3171135737832429
kb_relative_information_score
0.1728218998714127
kb_relative_information_score
0.14124235120610945
kb_relative_information_score
0.13379470604292762
kb_relative_information_score
0.15338348391030934
kb_relative_information_score
0.14371763582307107
kb_relative_information_score
0.15547752865866798
kb_relative_information_score
0.16671790864892244
kb_relative_information_score
0.14164584788068293
kb_relative_information_score
0.15617208018649664
kb_relative_information_score
0.15426018311852455
mean_absolute_error
0.4211006253015822
mean_absolute_error
0.43433094263686045
mean_absolute_error
0.43703825901305215
mean_absolute_error
0.4293862308371499
mean_absolute_error
0.4326257063141175
mean_absolute_error
0.42813674501675064
mean_absolute_error
0.4236918447744014
mean_absolute_error
0.4339445523516024
mean_absolute_error
0.4280492948512761
mean_absolute_error
0.42901589812992036
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.49480533738838384
mean_prior_absolute_error
0.49480533738838384
mean_prior_absolute_error
0.49480533738838384
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
precision
0.6830814918333478 [0.682243,0.684112]
precision
0.6527725188591238 [0.659751,0.644195]
precision
0.6403671692851376 [0.65798,0.618718]
precision
0.6761178971567412 [0.676684,0.675422]
precision
0.6474232839553267 [0.647817,0.646939]
precision
0.6608017438961543 [0.664264,0.656546]
precision
0.6824091292137643 [0.669951,0.697723]
precision
0.646391072010548 [0.655532,0.635185]
precision
0.6649645409024497 [0.664628,0.665377]
precision
0.6674938630511963 [0.67119,0.662963]
predictive_accuracy
0.6829105473965287
predictive_accuracy
0.6542056074766356
predictive_accuracy
0.6428571428571429
predictive_accuracy
0.6762349799732977
predictive_accuracy
0.6475300400534045
predictive_accuracy
0.6615487316421895
predictive_accuracy
0.67890520694259
predictive_accuracy
0.6481975967957276
predictive_accuracy
0.6648865153538052
predictive_accuracy
0.6682242990654206
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.992560912165838
prior_entropy
0.992560912165838
prior_entropy
0.992560912165838
relative_absolute_error
0.8511605898433113
relative_absolute_error
0.8779027128188938
relative_absolute_error
0.8833749464495171
relative_absolute_error
0.8679080855037892
relative_absolute_error
0.8744559595559447
relative_absolute_error
0.8653825297957439
relative_absolute_error
0.8563981595888294
relative_absolute_error
0.8770005486238106
relative_absolute_error
0.8650862521219947
relative_absolute_error
0.8670397542481966
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4974195830102464
root_mean_prior_squared_error
0.4974195830102464
root_mean_prior_squared_error
0.4974195830102464
root_mean_squared_error
0.4539638198132367
root_mean_squared_error
0.4668320684961534
root_mean_squared_error
0.47086032548671375
root_mean_squared_error
0.46257999598927946
root_mean_squared_error
0.46704393282748263
root_mean_squared_error
0.4606675094677757
root_mean_squared_error
0.4563563140695628
root_mean_squared_error
0.4680575907987397
root_mean_squared_error
0.46037586376128314
root_mean_squared_error
0.461640949218407
root_relative_squared_error
0.9127636937669101
root_relative_squared_error
0.9386372759500946
root_relative_squared_error
0.9467367027538848
root_relative_squared_error
0.9300878338180418
root_relative_squared_error
0.9390632615930058
root_relative_squared_error
0.9262424871506236
root_relative_squared_error
0.9175741694026529
root_relative_squared_error
0.9409713786622231
root_relative_squared_error
0.9255282250353215
root_relative_squared_error
0.9280715214802824
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
0.670021186440678 [0.7954,0.544643]
unweighted_recall
0.6409402744148507 [0.769976,0.511905]
unweighted_recall
0.6324530871670702 [0.733656,0.53125]
unweighted_recall
0.663135593220339 [0.790557,0.535714]
unweighted_recall
0.6311415456012914 [0.790557,0.471726]
unweighted_recall
0.6478763115415658 [0.780872,0.514881]
unweighted_recall
0.6623663236481033 [0.823245,0.501488]
unweighted_recall
0.635435183934441 [0.761212,0.509658]
unweighted_recall
0.6507235805304156 [0.790303,0.511144]
unweighted_recall
0.655670223783151 [0.779394,0.531947]
usercpu_time_millis
2562.5
usercpu_time_millis
2796.875
usercpu_time_millis
2921.875
usercpu_time_millis
2968.75
usercpu_time_millis
2796.875
usercpu_time_millis
2890.625
usercpu_time_millis
3031.25
usercpu_time_millis
2921.875
usercpu_time_millis
2937.5
usercpu_time_millis
2968.75
usercpu_time_millis_testing
828.125
usercpu_time_millis_testing
828.125
usercpu_time_millis_testing
828.125
usercpu_time_millis_testing
828.125
usercpu_time_millis_testing
828.125
usercpu_time_millis_testing
812.5
usercpu_time_millis_testing
828.125
usercpu_time_millis_testing
843.75
usercpu_time_millis_testing
843.75
usercpu_time_millis_testing
828.125
usercpu_time_millis_training
1734.375
usercpu_time_millis_training
1968.75
usercpu_time_millis_training
2093.75
usercpu_time_millis_training
2140.625
usercpu_time_millis_training
1968.75
usercpu_time_millis_training
2078.125
usercpu_time_millis_training
2203.125
usercpu_time_millis_training
2078.125
usercpu_time_millis_training
2093.75
usercpu_time_millis_training
2140.625
wall_clock_time_millis
1808.4657192230225
wall_clock_time_millis
1822.7887153625488
wall_clock_time_millis
1828.6001682281494
wall_clock_time_millis
1830.275535583496
wall_clock_time_millis
1828.5679817199707
wall_clock_time_millis
1824.8741626739502
wall_clock_time_millis
1826.697826385498
wall_clock_time_millis
1822.2579956054688
wall_clock_time_millis
1841.747522354126
wall_clock_time_millis
1824.3169784545898
wall_clock_time_millis_testing
183.00199508666992
wall_clock_time_millis_testing
179.95142936706543
wall_clock_time_millis_testing
183.24995040893555
wall_clock_time_millis_testing
185.16016006469727
wall_clock_time_millis_testing
179.6877384185791
wall_clock_time_millis_testing
180.45687675476074
wall_clock_time_millis_testing
182.19304084777832
wall_clock_time_millis_testing
180.15480041503906
wall_clock_time_millis_testing
178.89809608459473
wall_clock_time_millis_testing
179.6550750732422
wall_clock_time_millis_training
1625.4637241363525
wall_clock_time_millis_training
1642.8372859954834
wall_clock_time_millis_training
1645.3502178192139
wall_clock_time_millis_training
1645.1153755187988
wall_clock_time_millis_training
1648.8802433013916
wall_clock_time_millis_training
1644.4172859191895
wall_clock_time_millis_training
1644.5047855377197
wall_clock_time_millis_training
1642.1031951904297
wall_clock_time_millis_training
1662.8494262695312
wall_clock_time_millis_training
1644.6619033813477
weighted_recall
0.6829105473965287 [0.7954,0.544643]
weighted_recall
0.6542056074766355 [0.769976,0.511905]
weighted_recall
0.6428571428571429 [0.733656,0.53125]
weighted_recall
0.6762349799732977 [0.790557,0.535714]
weighted_recall
0.6475300400534045 [0.790557,0.471726]
weighted_recall
0.6615487316421896 [0.780872,0.514881]
weighted_recall
0.6789052069425902 [0.823245,0.501488]
weighted_recall
0.6481975967957276 [0.761212,0.509658]
weighted_recall
0.664886515353805 [0.790303,0.511144]
weighted_recall
0.6682242990654206 [0.779394,0.531947]