10558209
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)
8275916
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
0.1
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
22041381
description
https://api.openml.org/data/download/22041381/description.xml
-1
22041382
predictions
https://api.openml.org/data/download/22041382/predictions.arff
area_under_roc_curve
0.8123701561000293 [0.81237,0.81237]
average_cost
0
f_measure
0.7386278688357896 [0.829952,0.518781]
kappa
0.35225432799481987
kb_relative_information_score
0.2358081383434254
mean_absolute_error
0.3129693850733554
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.7487046632124352 [0.867994,0.461538]
number_of_instances
5404 [3818,1586]
precision
0.7355652489306949 [0.795106,0.592233]
predictive_accuracy
0.7487046632124352
prior_entropy
0.8731822780289229
relative_absolute_error
0.7546236104685679
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.39736900854978396
root_relative_squared_error
0.8726493579380464
total_cost
0
unweighted_recall
0.6647660877624209 [0.867994,0.461538]
area_under_roc_curve
0.791283875004116 [0.791284,0.791284]
area_under_roc_curve
0.8264842438012447 [0.826484,0.826484]
area_under_roc_curve
0.781849912739965 [0.78185,0.78185]
area_under_roc_curve
0.8218907438506373 [0.821891,0.821891]
area_under_roc_curve
0.8044270660746239 [0.804427,0.804427]
area_under_roc_curve
0.7965073894890318 [0.796507,0.796507]
area_under_roc_curve
0.8538339187487574 [0.853834,0.853834]
area_under_roc_curve
0.8133905494068526 [0.813391,0.813391]
area_under_roc_curve
0.8102807903729013 [0.810281,0.810281]
area_under_roc_curve
0.8282077947803695 [0.828208,0.828208]
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
0.7373469168785611 [0.828105,0.519298]
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
0.7384717058323704 [0.83188,0.512635]
f_measure
0.7342943815554772 [0.824716,0.515679]
f_measure
0.7491997354497355 [0.8375,0.535714]
f_measure
0.7227979171177481 [0.826568,0.47191]
f_measure
0.738451254708598 [0.829146,0.521127]
f_measure
0.7348008347772887 [0.831266,0.50365]
kappa
0.35051745138761103
kappa
0.41046466091161404
kappa
0.2756541554722068
kappa
0.4120025389317357
kappa
0.3489676359219833
kappa
0.34282412271485596
kappa
0.37681982813720627
kappa
0.3061529488955313
kappa
0.35357803010298383
kappa
0.3406948559116616
kb_relative_information_score
0.2157662660505359
kb_relative_information_score
0.24279403332488925
kb_relative_information_score
0.20706371201643603
kb_relative_information_score
0.2547454679446459
kb_relative_information_score
0.2214906387585873
kb_relative_information_score
0.20632373461315962
kb_relative_information_score
0.2804870779597319
kb_relative_information_score
0.24365615914759772
kb_relative_information_score
0.22517216962676867
kb_relative_information_score
0.26062981085655307
mean_absolute_error
0.3201903407982166
mean_absolute_error
0.31248920541412467
mean_absolute_error
0.3219741032246671
mean_absolute_error
0.30607053318469357
mean_absolute_error
0.3197602630846642
mean_absolute_error
0.3229690475308592
mean_absolute_error
0.2983213614923192
mean_absolute_error
0.30770546072149735
mean_absolute_error
0.3156025601133835
mean_absolute_error
0.30459459249815246
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
0.7340850065166926 [0.795181,0.587302]
precision
0.7564948676603611 [0.8175,0.609929]
precision
0.7035128929008918 [0.774347,0.533333]
precision
0.759196668607465 [0.812652,0.630769]
precision
0.7357931296033853 [0.793349,0.596639]
precision
0.7306716040999978 [0.79562,0.573643]
precision
0.7468138387033987 [0.801435,0.614754]
precision
0.7205954906565817 [0.779582,0.577982]
precision
0.7353552878179384 [0.795181,0.592]
precision
0.7328104575163398 [0.788235,0.6]
predictive_accuracy
0.7467652495378928
predictive_accuracy
0.7634011090573013
predictive_accuracy
0.7208872458410351
predictive_accuracy
0.7689463955637709
predictive_accuracy
0.75
predictive_accuracy
0.7425925925925925
predictive_accuracy
0.7592592592592592
predictive_accuracy
0.7388888888888888
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
0.7717166268663785
relative_absolute_error
0.7531554978615592
relative_absolute_error
0.7760158169026541
relative_absolute_error
0.7376853369894077
relative_absolute_error
0.7716841681359312
relative_absolute_error
0.779427995127448
relative_absolute_error
0.7199452160177426
relative_absolute_error
0.7425920600549456
relative_absolute_error
0.760247500210744
relative_absolute_error
0.733730668855277
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
0.40438516268206665
root_mean_squared_error
0.39203796248682155
root_mean_squared_error
0.41132494327940633
root_mean_squared_error
0.3929292475371032
root_mean_squared_error
0.4011305252639787
root_mean_squared_error
0.40351721801803114
root_mean_squared_error
0.37607444389884204
root_mean_squared_error
0.3987976213066927
root_mean_squared_error
0.40057237834197984
root_mean_squared_error
0.3918417192447101
root_relative_squared_error
0.8876916092500289
root_relative_squared_error
0.8605874842164735
root_relative_squared_error
0.902925563348236
root_relative_squared_error
0.8625440007596065
root_relative_squared_error
0.8816947600423224
root_relative_squared_error
0.8869407694146938
root_relative_squared_error
0.8266208769657435
root_relative_squared_error
0.8765669797681401
root_relative_squared_error
0.8788462343084626
root_relative_squared_error
0.8596913766958992
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
0.6646415752905923 [0.863874,0.465409]
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
0.6618563191729074 [0.874346,0.449367]
unweighted_recall
0.6621876863940619 [0.856021,0.468354]
unweighted_recall
0.6758234475445688 [0.876963,0.474684]
unweighted_recall
0.6391576645238253 [0.879581,0.398734]
unweighted_recall
0.6657752686574556 [0.866142,0.465409]
unweighted_recall
0.6566136780072303 [0.879265,0.433962]
usercpu_time_millis
32.741999999416294
usercpu_time_millis
33.714000001054956
usercpu_time_millis
38.94200000286219
usercpu_time_millis
38.53799999706098
usercpu_time_millis
40.18799999903422
usercpu_time_millis
37.32200000376906
usercpu_time_millis
36.98600000279839
usercpu_time_millis
39.388000001054024
usercpu_time_millis
36.96800000034273
usercpu_time_millis
34.74600000117789
usercpu_time_millis_testing
1.808000000892207
usercpu_time_millis_testing
1.194000000396045
usercpu_time_millis_testing
1.3140000010025688
usercpu_time_millis_testing
1.2659999993047677
usercpu_time_millis_testing
1.6179999984160531
usercpu_time_millis_testing
1.5980000025592744
usercpu_time_millis_testing
1.2139999998908024
usercpu_time_millis_testing
1.7520000001240987
usercpu_time_millis_testing
1.2139999998908024
usercpu_time_millis_testing
1.5080000011948869
usercpu_time_millis_training
30.933999998524087
usercpu_time_millis_training
32.52000000065891
usercpu_time_millis_training
37.62800000185962
usercpu_time_millis_training
37.27199999775621
usercpu_time_millis_training
38.570000000618165
usercpu_time_millis_training
35.72400000120979
usercpu_time_millis_training
35.77200000290759
usercpu_time_millis_training
37.636000000929926
usercpu_time_millis_training
35.754000000451924
usercpu_time_millis_training
33.237999999983
wall_clock_time_millis
12.67099380493164
wall_clock_time_millis
8.857250213623047
wall_clock_time_millis
10.881900787353516
wall_clock_time_millis
10.733842849731445
wall_clock_time_millis
11.22903823852539
wall_clock_time_millis
10.639667510986328
wall_clock_time_millis
10.829925537109375
wall_clock_time_millis
11.137247085571289
wall_clock_time_millis
10.710716247558594
wall_clock_time_millis
9.39488410949707
wall_clock_time_millis_testing
0.5049705505371094
wall_clock_time_millis_testing
0.2970695495605469
wall_clock_time_millis_testing
0.33092498779296875
wall_clock_time_millis_testing
0.3209114074707031
wall_clock_time_millis_testing
0.5109310150146484
wall_clock_time_millis_testing
0.4608631134033203
wall_clock_time_millis_testing
0.3077983856201172
wall_clock_time_millis_testing
0.4470348358154297
wall_clock_time_millis_testing
0.3077983856201172
wall_clock_time_millis_testing
0.6630420684814453
wall_clock_time_millis_training
12.166023254394531
wall_clock_time_millis_training
8.5601806640625
wall_clock_time_millis_training
10.550975799560547
wall_clock_time_millis_training
10.412931442260742
wall_clock_time_millis_training
10.718107223510742
wall_clock_time_millis_training
10.178804397583008
wall_clock_time_millis_training
10.522127151489258
wall_clock_time_millis_training
10.69021224975586
wall_clock_time_millis_training
10.402917861938477
wall_clock_time_millis_training
8.731842041015625
weighted_recall
0.7467652495378928 [0.863874,0.465409]
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
0.75 [0.874346,0.449367]
weighted_recall
0.7425925925925926 [0.856021,0.468354]
weighted_recall
0.7592592592592593 [0.876963,0.474684]
weighted_recall
0.7388888888888889 [0.879581,0.398734]
weighted_recall
0.7481481481481481 [0.866142,0.465409]
weighted_recall
0.7481481481481481 [0.879265,0.433962]