10464704
12269
Marc Zöller
9983
Supervised Classification
18288
sklearn.pipeline.Pipeline(step_0=sklearn.cluster._agglomerative.FeatureAgglomeration,step_1=sklearn.naive_bayes.MultinomialNB)(1)
8275386
alpha
58.63510919638921
17700
class_prior
null
17700
fit_prior
true
17700
affinity
"euclidean"
17760
compute_full_tree
true
17760
connectivity
null
17760
distance_threshold
null
17760
linkage
"single"
17760
memory
null
17760
n_clusters
5
17760
pooling_func
{"oml-python:serialized_object": "function", "value": "numpy.amax"}
17760
memory
null
18288
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"}}]
18288
verbose
false
18288
automl_meta_features
openml-python
Sklearn_0.22.1.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
21854046
description
https://api.openml.org/data/download/21854046/description.xml
-1
21854047
predictions
https://api.openml.org/data/download/21854047/predictions.arff
area_under_roc_curve
0.5242370542658176 [0.524237,0.524237]
average_cost
0
f_measure
0.34041811932452787 [0.120335,0.610718]
kappa
0.009355726273378802
kb_relative_information_score
-0.04224634509961835
mean_absolute_error
0.5098891202187595
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.4602803738317757 [0.066973,0.943329]
number_of_instances
14980 [8257,6723]
precision
0.5289936969378939 [0.592077,0.451516]
predictive_accuracy
0.46028037383177567
prior_entropy
0.9924223735239917
relative_absolute_error
1.0305839298191095
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.5421230853743005
root_relative_squared_error
1.0899762042020786
total_cost
0
unweighted_recall
0.5051511740447452 [0.066973,0.943329]
area_under_roc_curve
0.5644132653061225 [0.564413,0.564413]
area_under_roc_curve
0.5309365271532341 [0.530937,0.530937]
area_under_roc_curve
0.5149277931511588 [0.514928,0.514928]
area_under_roc_curve
0.5157835379914678 [0.515784,0.515784]
area_under_roc_curve
0.5856330349936585 [0.585633,0.585633]
area_under_roc_curve
0.5426052836388793 [0.542605,0.542605]
area_under_roc_curve
0.5172338002997809 [0.517234,0.517234]
area_under_roc_curve
0.5298158404250529 [0.529816,0.529816]
area_under_roc_curve
0.5215273087487055 [0.521527,0.521527]
area_under_roc_curve
0.5168553289207078 [0.516855,0.516855]
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
0.3677302283530061 [0.159655,0.62349]
f_measure
0.33076330569702334 [0.110151,0.601932]
f_measure
0.34497458599770453 [0.135593,0.602339]
f_measure
0.3331266695752677 [0.112554,0.604247]
f_measure
0.31701918253615335 [0.067364,0.623888]
f_measure
0.3333396609295933 [0.11099,0.606644]
f_measure
0.34061113792868086 [0.119956,0.611833]
f_measure
0.35681703336084186 [0.147594,0.613295]
f_measure
0.34283294853158164 [0.125405,0.609367]
f_measure
0.3342375821198196 [0.109529,0.609698]
kappa
0.04489463853972103
kappa
-0.010151004789074507
kappa
-0.002618161774838027
kappa
-0.004994043800971371
kappa
0.023591713353864386
kappa
-0.0006868210487757364
kappa
0.011810347787276363
kappa
0.020690164297490807
kappa
0.00718305820669321
kappa
0.003762861214226239
kb_relative_information_score
-0.024517966397835253
kb_relative_information_score
-0.048566530653173574
kb_relative_information_score
-0.045245959307206866
kb_relative_information_score
-0.049679273678830765
kb_relative_information_score
-0.0320686936479212
kb_relative_information_score
-0.04013160180220122
kb_relative_information_score
-0.046371073635651634
kb_relative_information_score
-0.04319471822177683
kb_relative_information_score
-0.042363945084407495
kb_relative_information_score
-0.05032186542954502
mean_absolute_error
0.5033292169524205
mean_absolute_error
0.5121119671639938
mean_absolute_error
0.5108741882392323
mean_absolute_error
0.5126629500031079
mean_absolute_error
0.5058701700940255
mean_absolute_error
0.5084838204415325
mean_absolute_error
0.5117172975191002
mean_absolute_error
0.5103212291169388
mean_absolute_error
0.5101402636318133
mean_absolute_error
0.5133800990254249
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
0.611116803784286 [0.732673,0.461704]
precision
0.4811267097188239 [0.51,0.445637]
precision
0.49995936611133684 [0.542373,0.447826]
precision
0.4931680335685676 [0.530612,0.447143]
precision
0.6610907046716197 [0.828571,0.455229]
precision
0.5035324334792082 [0.548387,0.448399]
precision
0.5360426991058879 [0.604396,0.452026]
precision
0.5500253940893333 [0.627273,0.455331]
precision
0.52220605060443 [0.58,0.451359]
precision
0.5152460964501131 [0.568182,0.450355]
predictive_accuracy
0.47997329773030706
predictive_accuracy
0.4499332443257677
predictive_accuracy
0.4552736982643525
predictive_accuracy
0.45260347129506007
predictive_accuracy
0.46395193591455275
predictive_accuracy
0.4546061415220294
predictive_accuracy
0.4612817089452604
predictive_accuracy
0.46795727636849127
predictive_accuracy
0.4599465954606141
predictive_accuracy
0.45727636849132175
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
1.0173672691171485
relative_absolute_error
1.0351196313825222
relative_absolute_error
1.0326177385417288
relative_absolute_error
1.0362333197746922
relative_absolute_error
1.022503236733496
relative_absolute_error
1.0277861454678041
relative_absolute_error
1.0343218950991808
relative_absolute_error
1.0313575674232798
relative_absolute_error
1.0309918367582052
relative_absolute_error
1.0375395336984035
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
0.5132318197787961
root_mean_squared_error
0.5485795635757331
root_mean_squared_error
0.5453360424983902
root_mean_squared_error
0.5485233200836098
root_mean_squared_error
0.534638163810663
root_mean_squared_error
0.5435493093046186
root_mean_squared_error
0.5467441316052675
root_mean_squared_error
0.5451842727146957
root_mean_squared_error
0.5462274126519064
root_mean_squared_error
0.5482294098155995
root_relative_squared_error
1.0319310727730104
root_relative_squared_error
1.1030031181348905
root_relative_squared_error
1.0964815229104419
root_relative_squared_error
1.1028900319915014
root_relative_squared_error
1.074971801561949
root_relative_squared_error
1.0928890225424746
root_relative_squared_error
1.0993127014278732
root_relative_squared_error
1.0960249482245765
root_relative_squared_error
1.0981220508977318
root_relative_squared_error
1.1021468163715349
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
0.5247049031476998 [0.089588,0.959821]
unweighted_recall
0.49441333736884585 [0.061743,0.927083]
unweighted_recall
0.49856234866828086 [0.077482,0.919643]
unweighted_recall
0.497250807102502 [0.062954,0.931548]
unweighted_recall
0.5130901937046005 [0.035109,0.991071]
unweighted_recall
0.49962167070217917 [0.061743,0.9375]
unweighted_recall
0.5065072639225181 [0.066586,0.946429]
unweighted_recall
0.5113575577468594 [0.083636,0.939079]
unweighted_recall
0.5039479490296727 [0.070303,0.937593]
unweighted_recall
0.502071232383268 [0.060606,0.943536]
usercpu_time_millis
31.25
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
31.25
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
wall_clock_time_millis
18.877744674682617
wall_clock_time_millis
5.829572677612305
wall_clock_time_millis
4.907369613647461
wall_clock_time_millis
4.48298454284668
wall_clock_time_millis
5.004405975341797
wall_clock_time_millis
4.606723785400391
wall_clock_time_millis
4.770755767822266
wall_clock_time_millis
4.317045211791992
wall_clock_time_millis
4.367828369140625
wall_clock_time_millis
4.740238189697266
wall_clock_time_millis_testing
0.5784034729003906
wall_clock_time_millis_testing
0.5159378051757812
wall_clock_time_millis_testing
0.392913818359375
wall_clock_time_millis_testing
0.3407001495361328
wall_clock_time_millis_testing
0.45037269592285156
wall_clock_time_millis_testing
0.32973289489746094
wall_clock_time_millis_testing
0.3235340118408203
wall_clock_time_millis_testing
0.31948089599609375
wall_clock_time_millis_testing
0.34427642822265625
wall_clock_time_millis_testing
0.32138824462890625
wall_clock_time_millis_training
18.299341201782227
wall_clock_time_millis_training
5.313634872436523
wall_clock_time_millis_training
4.514455795288086
wall_clock_time_millis_training
4.142284393310547
wall_clock_time_millis_training
4.554033279418945
wall_clock_time_millis_training
4.27699089050293
wall_clock_time_millis_training
4.447221755981445
wall_clock_time_millis_training
3.9975643157958984
wall_clock_time_millis_training
4.023551940917969
wall_clock_time_millis_training
4.418849945068359
weighted_recall
0.47997329773030706 [0.089588,0.959821]
weighted_recall
0.4499332443257677 [0.061743,0.927083]
weighted_recall
0.4552736982643525 [0.077482,0.919643]
weighted_recall
0.45260347129506007 [0.062954,0.931548]
weighted_recall
0.46395193591455275 [0.035109,0.991071]
weighted_recall
0.4546061415220294 [0.061743,0.9375]
weighted_recall
0.4612817089452603 [0.066586,0.946429]
weighted_recall
0.4679572763684913 [0.083636,0.939079]
weighted_recall
0.45994659546061417 [0.070303,0.937593]
weighted_recall
0.45727636849132175 [0.060606,0.943536]