10558202
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)
8275909
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
1
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
10000
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"lbfgs"
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
22041367
description
https://api.openml.org/data/download/22041367/description.xml
-1
22041368
predictions
https://api.openml.org/data/download/22041368/predictions.arff
area_under_roc_curve
0.8123275491350788 [0.812328,0.812328]
average_cost
0
f_measure
0.7397640914306789 [0.830472,0.521401]
kappa
0.3552743333366254
kb_relative_information_score
0.23726048590535698
mean_absolute_error
0.3121952020180653
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
0.7527569204975673
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.39746061729322163
root_relative_squared_error
0.8728505369666629
total_cost
0
unweighted_recall
0.6663423803223201 [0.867994,0.464691]
area_under_roc_curve
0.7914649807369357 [0.791465,0.791465]
area_under_roc_curve
0.8264019230135994 [0.826402,0.826402]
area_under_roc_curve
0.781784056109849 [0.781784,0.781784]
area_under_roc_curve
0.8217919589054629 [0.821792,0.821792]
area_under_roc_curve
0.8042613824640467 [0.804261,0.804261]
area_under_roc_curve
0.7965405262111472 [0.796541,0.796541]
area_under_roc_curve
0.8537013718602956 [0.853701,0.853701]
area_under_roc_curve
0.8133905494068526 [0.813391,0.813391]
area_under_roc_curve
0.810412849337229 [0.810413,0.810413]
area_under_roc_curve
0.8281582726687466 [0.828158,0.828158]
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
0.21708986083534454
kb_relative_information_score
0.24430070192248415
kb_relative_information_score
0.20825625131977776
kb_relative_information_score
0.25635725210119953
kb_relative_information_score
0.222876527730701
kb_relative_information_score
0.207527566436917
kb_relative_information_score
0.2822497303760643
kb_relative_information_score
0.2451743520463609
kb_relative_information_score
0.22652542843508758
kb_relative_information_score
0.2622952244664465
mean_absolute_error
0.3194669967273003
mean_absolute_error
0.31170561756662946
mean_absolute_error
0.32128049461189756
mean_absolute_error
0.3052307212122203
mean_absolute_error
0.31902409630271983
mean_absolute_error
0.3222826481311941
mean_absolute_error
0.2974143152472527
mean_absolute_error
0.30691309354044005
mean_absolute_error
0.3148592989202492
mean_absolute_error
0.3037582508428957
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
0.7699732368406839
relative_absolute_error
0.7512669094393882
relative_absolute_error
0.774344094708669
relative_absolute_error
0.7356612382580612
relative_absolute_error
0.7699075613579227
relative_absolute_error
0.7777714930198072
relative_absolute_error
0.7177562222374254
relative_absolute_error
0.7406798236717447
relative_absolute_error
0.7584570760016344
relative_absolute_error
0.7317160253349501
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
0.4045152504188896
root_mean_squared_error
0.3920960814457711
root_mean_squared_error
0.4115434808009759
root_mean_squared_error
0.39297231020320406
root_mean_squared_error
0.40125195858164314
root_mean_squared_error
0.40371826576198816
root_mean_squared_error
0.3759616986516385
root_mean_squared_error
0.39890659032779474
root_mean_squared_error
0.400697684479437
root_mean_squared_error
0.39184332279662587
root_relative_squared_error
0.8879771731210626
root_relative_squared_error
0.860715064842468
root_relative_squared_error
0.9034052889714931
root_relative_squared_error
0.8626385303588532
root_relative_squared_error
0.8819616734611125
root_relative_squared_error
0.8873826773005336
root_relative_squared_error
0.8263730601395031
root_relative_squared_error
0.8768064963565358
root_relative_squared_error
0.8791211529823257
root_relative_squared_error
0.8596948948505172
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
31.067999996594153
usercpu_time_millis
34.84000000025844
usercpu_time_millis
34.51800000038929
usercpu_time_millis
37.32999999920139
usercpu_time_millis
41.761999997106614
usercpu_time_millis
35.96999999717809
usercpu_time_millis
33.08800000013434
usercpu_time_millis
37.9220000031637
usercpu_time_millis
36.94200000245473
usercpu_time_millis
36.147999999229796
usercpu_time_millis_testing
2.0679999979620334
usercpu_time_millis_testing
1.6880000002856832
usercpu_time_millis_testing
1.2800000004062895
usercpu_time_millis_testing
1.2419999984558672
usercpu_time_millis_testing
1.759999999194406
usercpu_time_millis_testing
1.2179999976069666
usercpu_time_millis_testing
1.476000001275679
usercpu_time_millis_testing
1.66200000239769
usercpu_time_millis_testing
1.242000002093846
usercpu_time_millis_testing
1.3119999966875184
usercpu_time_millis_training
28.99999999863212
usercpu_time_millis_training
33.15199999997276
usercpu_time_millis_training
33.237999999983
usercpu_time_millis_training
36.088000000745524
usercpu_time_millis_training
40.00199999791221
usercpu_time_millis_training
34.751999999571126
usercpu_time_millis_training
31.611999998858664
usercpu_time_millis_training
36.26000000076601
usercpu_time_millis_training
35.70000000036089
usercpu_time_millis_training
34.83600000254228
wall_clock_time_millis
11.989355087280273
wall_clock_time_millis
9.330034255981445
wall_clock_time_millis
10.298013687133789
wall_clock_time_millis
10.550737380981445
wall_clock_time_millis
11.227130889892578
wall_clock_time_millis
9.948015213012695
wall_clock_time_millis
8.681774139404297
wall_clock_time_millis
9.943246841430664
wall_clock_time_millis
10.618925094604492
wall_clock_time_millis
9.521961212158203
wall_clock_time_millis_testing
0.5323886871337891
wall_clock_time_millis_testing
0.45990943908691406
wall_clock_time_millis_testing
0.3230571746826172
wall_clock_time_millis_testing
0.308990478515625
wall_clock_time_millis_testing
0.4589557647705078
wall_clock_time_millis_testing
0.30994415283203125
wall_clock_time_millis_testing
0.5037784576416016
wall_clock_time_millis_testing
0.4680156707763672
wall_clock_time_millis_testing
0.30803680419921875
wall_clock_time_millis_testing
0.3268718719482422
wall_clock_time_millis_training
11.456966400146484
wall_clock_time_millis_training
8.870124816894531
wall_clock_time_millis_training
9.974956512451172
wall_clock_time_millis_training
10.24174690246582
wall_clock_time_millis_training
10.76817512512207
wall_clock_time_millis_training
9.638071060180664
wall_clock_time_millis_training
8.177995681762695
wall_clock_time_millis_training
9.475231170654297
wall_clock_time_millis_training
10.310888290405273
wall_clock_time_millis_training
9.195089340209961
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]