10330367
8323
Heinrich Peters
9952
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8185978
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
81.8664880584341
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.1339044447397313
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.6339071538529285
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
60283
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
1489
phoneme
https://www.openml.org/data/download/1592281/php8Mz7BG
-1
21582431
description
https://api.openml.org/data/download/21582431/description.xml
-1
21582432
predictions
https://api.openml.org/data/download/21582432/predictions.arff
area_under_roc_curve
0.8612411706148019 [0.861241,0.861241]
average_cost
0
f_measure
0.8876118329788865 [0.921193,0.806771]
kappa
0.7279831975282183
kb_relative_information_score
0.7090023948706294
mean_absolute_error
0.1119541080680977
mean_prior_absolute_error
0.4147357447231523
number_of_instances
5404 [3818,1586]
precision
0.8872961182302078 [0.9163,0.817476]
predictive_accuracy
0.8880458919319022
prior_entropy
0.8731822780289229
recall
0.8880458919319023 [0.926139,0.796343]
relative_absolute_error
0.26994082254190604
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.3345954394012233
root_relative_squared_error
0.7347943324218629
total_cost
0
area_under_roc_curve
0.8627218545227041 [0.862722,0.862722]
area_under_roc_curve
0.875045276433205 [0.875045,0.875045]
area_under_roc_curve
0.8320573611248312 [0.832057,0.832057]
area_under_roc_curve
0.8352184793704106 [0.835218,0.835218]
area_under_roc_curve
0.8531380475843329 [0.853138,0.853138]
area_under_roc_curve
0.8797634038040957 [0.879763,0.879763]
area_under_roc_curve
0.910315461594539 [0.910315,0.910315]
area_under_roc_curve
0.854446948107893 [0.854447,0.854447]
area_under_roc_curve
0.8455900559599862 [0.84559,0.84559]
area_under_roc_curve
0.8644827415440994 [0.864483,0.864483]
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
0.8886766809517644 [0.921875,0.808917]
f_measure
0.8916129340055872 [0.922061,0.818462]
f_measure
0.8719826408422405 [0.913043,0.773333]
f_measure
0.8632162661737525 [0.903141,0.767296]
f_measure
0.8810303893637227 [0.916667,0.794872]
f_measure
0.8984263161162885 [0.927727,0.827586]
f_measure
0.9208650614370603 [0.943197,0.866873]
f_measure
0.8827747788430848 [0.918075,0.797428]
f_measure
0.8768356374807987 [0.914286,0.787097]
f_measure
0.8999272959468918 [0.932138,0.822742]
kappa
0.7308100577191005
kappa
0.7405739736827132
kappa
0.6868093511092949
kappa
0.6704369587408213
kappa
0.7115577218401551
kappa
0.7553219534699795
kappa
0.810107948969578
kappa
0.7155328115593015
kappa
0.701462532040006
kappa
0.7552591072344793
kb_relative_information_score
0.7119004012595879
kb_relative_information_score
0.7167020612385946
kb_relative_information_score
0.6734871214275335
kb_relative_information_score
0.6446771615534918
kb_relative_information_score
0.6915398241197631
kb_relative_information_score
0.7349170363529212
kb_relative_information_score
0.7927533193304656
kb_relative_information_score
0.6963595143678919
kb_relative_information_score
0.6827539385403134
kb_relative_information_score
0.7452417991308583
mean_absolute_error
0.11090573012939002
mean_absolute_error
0.10905730129390019
mean_absolute_error
0.1256931608133087
mean_absolute_error
0.1367837338262477
mean_absolute_error
0.11851851851851852
mean_absolute_error
0.10185185185185185
mean_absolute_error
0.07962962962962963
mean_absolute_error
0.11666666666666667
mean_absolute_error
0.12222222222222222
mean_absolute_error
0.09814814814814815
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.415131335553089
mean_prior_absolute_error
0.415131335553089
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [381,159]
number_of_instances
540 [381,159]
precision
0.8883715814647971 [0.917098,0.819355]
precision
0.8926178057887743 [0.930667,0.801205]
precision
0.8719843080190348 [0.8925,0.822695]
precision
0.8632162661737524 [0.903141,0.767296]
precision
0.8806909459759201 [0.911917,0.805195]
precision
0.8987677183730871 [0.931398,0.819876]
precision
0.9217122334455667 [0.952,0.848485]
precision
0.882391785310162 [0.912145,0.810458]
precision
0.8763416696459478 [0.904884,0.807947]
precision
0.9007460317460318 [0.91,0.878571]
predictive_accuracy
0.8890942698706099
predictive_accuracy
0.8909426987060998
predictive_accuracy
0.8743068391866913
predictive_accuracy
0.8632162661737524
predictive_accuracy
0.8814814814814815
predictive_accuracy
0.8981481481481481
predictive_accuracy
0.9203703703703704
predictive_accuracy
0.8833333333333333
predictive_accuracy
0.8777777777777778
predictive_accuracy
0.9018518518518519
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8743961361606727
prior_entropy
0.8743961361606727
recall
0.88909426987061 [0.926702,0.798742]
recall
0.8909426987060998 [0.913613,0.836478]
recall
0.8743068391866913 [0.934555,0.72956]
recall
0.8632162661737524 [0.903141,0.767296]
recall
0.8814814814814815 [0.921466,0.78481]
recall
0.8981481481481481 [0.924084,0.835443]
recall
0.9203703703703704 [0.934555,0.886076]
recall
0.8833333333333333 [0.924084,0.78481]
recall
0.8777777777777778 [0.923885,0.767296]
recall
0.9018518518518519 [0.955381,0.773585]
relative_absolute_error
0.26730286660815616
relative_absolute_error
0.26284781883135355
relative_absolute_error
0.30294324882257695
relative_absolute_error
0.3296735354833926
relative_absolute_error
0.28602323343551295
relative_absolute_error
0.24580121623364393
relative_absolute_error
0.19217185996448527
relative_absolute_error
0.28155412041308303
relative_absolute_error
0.29441820396280793
relative_absolute_error
0.23642673954589122
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.45579347410776366
root_mean_prior_squared_error
0.45579347410776366
root_mean_squared_error
0.3330251193669781
root_mean_squared_error
0.33023824928966083
root_mean_squared_error
0.35453231279152636
root_mean_squared_error
0.36984285017591956
root_mean_squared_error
0.34426518632954817
root_mean_squared_error
0.3191423692521127
root_mean_squared_error
0.2821872244266732
root_mean_squared_error
0.3415650255319866
root_mean_squared_error
0.3496029493900505
root_mean_squared_error
0.31328604844159297
root_relative_squared_error
0.73104463618508
root_relative_squared_error
0.7249270002973124
root_relative_squared_error
0.7782564453792247
root_relative_squared_error
0.8118655804896545
root_relative_squared_error
0.756703346502994
root_relative_squared_error
0.701482776689466
root_relative_squared_error
0.6202544594783723
root_relative_squared_error
0.7507683266614721
root_relative_squared_error
0.7670205240968271
root_relative_squared_error
0.6873421104917409
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
usercpu_time_millis
1362.5184379925486
usercpu_time_millis
1403.7696470040828
usercpu_time_millis
1402.3638500075322
usercpu_time_millis
1409.610104004969
usercpu_time_millis
1407.0314140117262
usercpu_time_millis
1373.4493629890494
usercpu_time_millis
1452.9042820067843
usercpu_time_millis
1361.8624809896573
usercpu_time_millis
1442.283717013197
usercpu_time_millis
1402.7673310047248
usercpu_time_millis_testing
36.95710199826863
usercpu_time_millis_testing
37.585514000966214
usercpu_time_millis_testing
37.79039700748399
usercpu_time_millis_testing
37.18723099154886
usercpu_time_millis_testing
37.242703008814715
usercpu_time_millis_testing
37.58020399254747
usercpu_time_millis_testing
38.22644799947739
usercpu_time_millis_testing
38.523149996763095
usercpu_time_millis_testing
37.41089400136843
usercpu_time_millis_testing
38.337119010975584
usercpu_time_millis_training
1325.56133599428
usercpu_time_millis_training
1366.1841330031166
usercpu_time_millis_training
1364.5734530000482
usercpu_time_millis_training
1372.42287301342
usercpu_time_millis_training
1369.7887110029114
usercpu_time_millis_training
1335.869158996502
usercpu_time_millis_training
1414.677834007307
usercpu_time_millis_training
1323.3393309928942
usercpu_time_millis_training
1404.8728230118286
usercpu_time_millis_training
1364.4302119937493
wall_clock_time_millis
1410.6128215789795
wall_clock_time_millis
1555.9096336364746
wall_clock_time_millis
1634.6335411071777
wall_clock_time_millis
1513.782262802124
wall_clock_time_millis
1487.1418476104736
wall_clock_time_millis
1545.6924438476562
wall_clock_time_millis
1783.6105823516846
wall_clock_time_millis
1429.9886226654053
wall_clock_time_millis
1696.150779724121
wall_clock_time_millis
1469.0146446228027
wall_clock_time_millis_testing
36.96751594543457
wall_clock_time_millis_testing
37.5974178314209
wall_clock_time_millis_testing
37.80865669250488
wall_clock_time_millis_testing
37.19902038574219
wall_clock_time_millis_testing
37.25600242614746
wall_clock_time_millis_testing
69.59247589111328
wall_clock_time_millis_testing
38.24329376220703
wall_clock_time_millis_testing
38.53917121887207
wall_clock_time_millis_testing
53.42698097229004
wall_clock_time_millis_testing
38.378000259399414
wall_clock_time_millis_training
1373.645305633545
wall_clock_time_millis_training
1518.3122158050537
wall_clock_time_millis_training
1596.8248844146729
wall_clock_time_millis_training
1476.5832424163818
wall_clock_time_millis_training
1449.8858451843262
wall_clock_time_millis_training
1476.099967956543
wall_clock_time_millis_training
1745.3672885894775
wall_clock_time_millis_training
1391.4494514465332
wall_clock_time_millis_training
1642.723798751831
wall_clock_time_millis_training
1430.6366443634033