10558203
8323
Heinrich Peters
9952
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275910
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
C
100000.0
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
67
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"liblinear"
17462
tol
0.0001
17462
verbose
0
17462
warm_start
false
17462
memory
null
18591
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": "logisticregression", "step_name": "logisticregression"}}]
18591
verbose
false
18591
openml-python
Sklearn_0.21.2.
1489
phoneme
https://www.openml.org/data/download/1592281/php8Mz7BG
-1
22041369
description
https://api.openml.org/data/download/22041369/description.xml
-1
22041370
predictions
https://api.openml.org/data/download/22041370/predictions.arff
area_under_roc_curve
0.8123224296935534 [0.812322,0.812322]
average_cost
0
f_measure
0.7397640914306789 [0.830472,0.521401]
kappa
0.3552743333366254
kb_relative_information_score
0.2374239887408655
mean_absolute_error
0.3121085181454785
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.7496299037749815 [0.867994,0.464691]
number_of_instances
5404 [3818,1586]
precision
0.7367221139478003 [0.796061,0.593876]
predictive_accuracy
0.7496299037749814
prior_entropy
0.8731822780289229
relative_absolute_error
0.7525479106070775
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.3974712595126346
root_relative_squared_error
0.872873908004006
total_cost
0
unweighted_recall
0.6663423803223201 [0.867994,0.464691]
area_under_roc_curve
0.7914979090519938 [0.791498,0.791498]
area_under_roc_curve
0.8264183871711285 [0.826418,0.826418]
area_under_roc_curve
0.7817675919523198 [0.781768,0.781768]
area_under_roc_curve
0.8217919589054629 [0.821792,0.821792]
area_under_roc_curve
0.8042613824640467 [0.804261,0.804261]
area_under_roc_curve
0.7965736629332626 [0.796574,0.796574]
area_under_roc_curve
0.8537179402213533 [0.853718,0.853718]
area_under_roc_curve
0.8133905494068526 [0.813391,0.813391]
area_under_roc_curve
0.810412849337229 [0.810413,0.810413]
area_under_roc_curve
0.8281417652982056 [0.828142,0.828142]
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
0.7418505262572045 [0.830189,0.529617]
f_measure
0.7590261474677471 [0.836317,0.573333]
f_measure
0.7081573212214575 [0.811955,0.458781]
f_measure
0.7615785543701956 [0.842371,0.567474]
f_measure
0.7407709077957916 [0.832918,0.517986]
f_measure
0.7342943815554772 [0.824716,0.515679]
f_measure
0.7514659239430861 [0.838548,0.540925]
f_measure
0.7251863288919388 [0.827586,0.477612]
f_measure
0.738451254708598 [0.829146,0.521127]
f_measure
0.7348008347772887 [0.831266,0.50365]
kappa
0.36249050740640504
kappa
0.41046466091161404
kappa
0.2756541554722068
kappa
0.4120025389317357
kappa
0.35508021390374334
kappa
0.34282412271485596
kappa
0.3828407399532212
kappa
0.31247726445980345
kappa
0.35357803010298383
kappa
0.3406948559116616
kb_relative_information_score
0.21723904359761184
kb_relative_information_score
0.2444711854331416
kb_relative_information_score
0.20839164253655793
kb_relative_information_score
0.256538512473781
kb_relative_information_score
0.2230337441689539
kb_relative_information_score
0.20766371183537116
kb_relative_information_score
0.2824477561064016
kb_relative_information_score
0.24534522468690298
kb_relative_information_score
0.22667575675687665
kb_relative_information_score
0.2624813873498582
mean_absolute_error
0.3193861521354648
mean_absolute_error
0.3116177814657035
mean_absolute_error
0.32120210045379616
mean_absolute_error
0.3051363915726807
mean_absolute_error
0.31894147763184677
mean_absolute_error
0.3222055513455034
mean_absolute_error
0.2973130471995937
mean_absolute_error
0.3068241626891454
mean_absolute_error
0.3147768795533169
mean_absolute_error
0.3036651404576625
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
0.7386992129631702 [0.799031,0.59375]
precision
0.7564948676603611 [0.8175,0.609929]
precision
0.7035128929008918 [0.774347,0.533333]
precision
0.759196668607465 [0.812652,0.630769]
precision
0.7381128747795415 [0.795238,0.6]
precision
0.7306716040999978 [0.79562,0.573643]
precision
0.7490898338239977 [0.803357,0.617886]
precision
0.7230005481168272 [0.781395,0.581818]
precision
0.7353552878179384 [0.795181,0.592]
precision
0.7328104575163398 [0.788235,0.6]
predictive_accuracy
0.7504621072088724
predictive_accuracy
0.7634011090573013
predictive_accuracy
0.7208872458410351
predictive_accuracy
0.7689463955637709
predictive_accuracy
0.7518518518518519
predictive_accuracy
0.7425925925925925
predictive_accuracy
0.7611111111111112
predictive_accuracy
0.7407407407407408
predictive_accuracy
0.7481481481481481
predictive_accuracy
0.7481481481481481
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
relative_absolute_error
0.7697783867538383
relative_absolute_error
0.7510552085512394
relative_absolute_error
0.7741551506102767
relative_absolute_error
0.7354338867675148
relative_absolute_error
0.7697081759818596
relative_absolute_error
0.7775854337253915
relative_absolute_error
0.717511829928129
relative_absolute_error
0.7404652049779117
relative_absolute_error
0.7582585379490382
relative_absolute_error
0.731491733942663
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
0.4045301455622151
root_mean_squared_error
0.39210280704131256
root_mean_squared_error
0.4115687340029909
root_mean_squared_error
0.3929776033042434
root_mean_squared_error
0.4012657691876096
root_mean_squared_error
0.4037412955549101
root_mean_squared_error
0.3759492259736056
root_mean_squared_error
0.39891929292411366
root_mean_squared_error
0.400712177548986
root_mean_squared_error
0.3918436564858498
root_relative_squared_error
0.888009870398235
root_relative_squared_error
0.8607298286253174
root_relative_squared_error
0.9034607238825733
root_relative_squared_error
0.8626501495818445
root_relative_squared_error
0.8819920295126887
root_relative_squared_error
0.887433297351777
root_relative_squared_error
0.8263456448864305
root_relative_squared_error
0.8768344169756559
root_relative_squared_error
0.8791529504308904
root_relative_squared_error
0.8596956269567078
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
0.6709308834666929 [0.863874,0.477987]
unweighted_recall
0.6984507227765155 [0.856021,0.540881]
unweighted_recall
0.6279594323158484 [0.853403,0.402516]
unweighted_recall
0.6950344100892357 [0.874346,0.515723]
unweighted_recall
0.6650208761349328 [0.874346,0.455696]
unweighted_recall
0.6621876863940619 [0.856021,0.468354]
unweighted_recall
0.6789880045065941 [0.876963,0.481013]
unweighted_recall
0.6423222214858506 [0.879581,0.405063]
unweighted_recall
0.6657752686574556 [0.866142,0.465409]
unweighted_recall
0.6566136780072303 [0.879265,0.433962]
usercpu_time_millis
15.598000001773471
usercpu_time_millis
24.048000002949266
usercpu_time_millis
16.51799999672221
usercpu_time_millis
16.374000002542743
usercpu_time_millis
16.24200000151177
usercpu_time_millis
14.93800000025658
usercpu_time_millis
16.986000002361834
usercpu_time_millis
16.26600000236067
usercpu_time_millis
16.282000000501284
usercpu_time_millis
17.090000001189765
usercpu_time_millis_testing
0.6519999988086056
usercpu_time_millis_testing
1.2500000011641532
usercpu_time_millis_testing
0.7579999983136076
usercpu_time_millis_testing
0.8920000000216532
usercpu_time_millis_testing
0.9700000009615906
usercpu_time_millis_testing
0.7220000006782357
usercpu_time_millis_testing
1.3419999995676335
usercpu_time_millis_testing
0.8560000023862813
usercpu_time_millis_testing
0.7819999991625082
usercpu_time_millis_testing
0.7680000016989652
usercpu_time_millis_training
14.946000002964865
usercpu_time_millis_training
22.798000001785113
usercpu_time_millis_training
15.759999998408603
usercpu_time_millis_training
15.48200000252109
usercpu_time_millis_training
15.272000000550179
usercpu_time_millis_training
14.215999999578344
usercpu_time_millis_training
15.6440000027942
usercpu_time_millis_training
15.409999999974389
usercpu_time_millis_training
15.500000001338776
usercpu_time_millis_training
16.3219999994908
wall_clock_time_millis
8.034944534301758
wall_clock_time_millis
18.385887145996094
wall_clock_time_millis
8.558273315429688
wall_clock_time_millis
8.498191833496094
wall_clock_time_millis
8.465290069580078
wall_clock_time_millis
7.778167724609375
wall_clock_time_millis
8.842229843139648
wall_clock_time_millis
8.539915084838867
wall_clock_time_millis
8.414983749389648
wall_clock_time_millis
9.04989242553711
wall_clock_time_millis_testing
0.32806396484375
wall_clock_time_millis_testing
0.6990432739257812
wall_clock_time_millis_testing
0.3821849822998047
wall_clock_time_millis_testing
0.45990943908691406
wall_clock_time_millis_testing
0.5021095275878906
wall_clock_time_millis_testing
0.36406517028808594
wall_clock_time_millis_testing
0.6892681121826172
wall_clock_time_millis_testing
0.45609474182128906
wall_clock_time_millis_testing
0.3941059112548828
wall_clock_time_millis_testing
0.38695335388183594
wall_clock_time_millis_training
7.706880569458008
wall_clock_time_millis_training
17.686843872070312
wall_clock_time_millis_training
8.176088333129883
wall_clock_time_millis_training
8.03828239440918
wall_clock_time_millis_training
7.9631805419921875
wall_clock_time_millis_training
7.414102554321289
wall_clock_time_millis_training
8.152961730957031
wall_clock_time_millis_training
8.083820343017578
wall_clock_time_millis_training
8.020877838134766
wall_clock_time_millis_training
8.662939071655273
weighted_recall
0.7504621072088724 [0.863874,0.477987]
weighted_recall
0.7634011090573013 [0.856021,0.540881]
weighted_recall
0.7208872458410351 [0.853403,0.402516]
weighted_recall
0.7689463955637708 [0.874346,0.515723]
weighted_recall
0.7518518518518519 [0.874346,0.455696]
weighted_recall
0.7425925925925926 [0.856021,0.468354]
weighted_recall
0.7611111111111111 [0.876963,0.481013]
weighted_recall
0.7407407407407407 [0.879581,0.405063]
weighted_recall
0.7481481481481481 [0.866142,0.465409]
weighted_recall
0.7481481481481481 [0.879265,0.433962]