10558208
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)
8275915
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
0.165918932915
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
57
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
22041379
description
https://api.openml.org/data/download/22041379/description.xml
-1
22041380
predictions
https://api.openml.org/data/download/22041380/predictions.arff
area_under_roc_curve
0.8124061573339798 [0.812406,0.812406]
average_cost
0
f_measure
0.739991064939099 [0.830576,0.521924]
kappa
0.35587762129009815
kb_relative_information_score
0.23536613015684668
mean_absolute_error
0.31319782350837744
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.7498149518874907 [0.867994,0.465322]
number_of_instances
5404 [3818,1586]
precision
0.736953215619387 [0.796252,0.594203]
predictive_accuracy
0.7498149518874908
prior_entropy
0.8731822780289229
relative_absolute_error
0.7551744152591569
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.39731635570151114
root_relative_squared_error
0.8725337287036312
total_cost
0
unweighted_recall
0.6666576388342998 [0.867994,0.465322]
area_under_roc_curve
0.7914155882643485 [0.791416,0.791416]
area_under_roc_curve
0.8265171721163028 [0.826517,0.826517]
area_under_roc_curve
0.781784056109849 [0.781784,0.781784]
area_under_roc_curve
0.8217754947479338 [0.821775,0.821775]
area_under_roc_curve
0.8045099078799125 [0.80451,0.80451]
area_under_roc_curve
0.7965902312943204 [0.79659,0.79659]
area_under_roc_curve
0.8539498972761614 [0.85395,0.85395]
area_under_roc_curve
0.8134733912121412 [0.813473,0.813473]
area_under_roc_curve
0.8103468198550653 [0.810347,0.810347]
area_under_roc_curve
0.8282738242625334 [0.828274,0.828274]
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
0.7371315640880858 [0.832298,0.509091]
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
0.34684442533060955
kb_relative_information_score
0.21509211075263168
kb_relative_information_score
0.2424002013943767
kb_relative_information_score
0.20656577426701322
kb_relative_information_score
0.2543193872270157
kb_relative_information_score
0.22086141652547503
kb_relative_information_score
0.20558536670326358
kb_relative_information_score
0.2803116386340811
kb_relative_information_score
0.24342987782079878
kb_relative_information_score
0.22470532815335928
kb_relative_information_score
0.26043812134628636
mean_absolute_error
0.3204725751726425
mean_absolute_error
0.3127189087801926
mean_absolute_error
0.3222304879638315
mean_absolute_error
0.3062809781431538
mean_absolute_error
0.3200316291802369
mean_absolute_error
0.3232634816054453
mean_absolute_error
0.29850525288535085
mean_absolute_error
0.30788512972214943
mean_absolute_error
0.3158210847777926
mean_absolute_error
0.3047522037862635
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
0.7351374430709173 [0.790094,0.603448]
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
0.75
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
0.7723968627500554
relative_absolute_error
0.753709124515005
relative_absolute_error
0.7766337504905154
relative_absolute_error
0.7381925473976889
relative_absolute_error
0.7723390616417791
relative_absolute_error
0.7801385590722173
relative_absolute_error
0.7203890049841704
relative_absolute_error
0.7430256590330379
relative_absolute_error
0.7607738990770642
relative_absolute_error
0.7341103349383036
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
0.40437127141823753
root_mean_squared_error
0.39200654041244976
root_mean_squared_error
0.4112869645279425
root_mean_squared_error
0.3928546378243473
root_mean_squared_error
0.4011177671137598
root_mean_squared_error
0.403596612313328
root_mean_squared_error
0.37597946107041685
root_mean_squared_error
0.39866692313140994
root_mean_squared_error
0.4005180508687013
root_mean_squared_error
0.3916790864509853
root_relative_squared_error
0.8876611156526347
root_relative_squared_error
0.8605185076210414
root_relative_squared_error
0.9028421937735943
root_relative_squared_error
0.8623802202303145
root_relative_squared_error
0.881666717314364
root_relative_squared_error
0.887115280028401
root_relative_squared_error
0.8264121023728318
root_relative_squared_error
0.8762797019644425
root_relative_squared_error
0.8787270411291727
root_relative_squared_error
0.859334564229369
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
0.6597583320952806 [0.879265,0.440252]
usercpu_time_millis
15.373999998701038
usercpu_time_millis
21.926000001258217
usercpu_time_millis
18.101999998179963
usercpu_time_millis
22.116000000096392
usercpu_time_millis
18.064000003505498
usercpu_time_millis
18.573999997897772
usercpu_time_millis
16.041999999288237
usercpu_time_millis
17.76600000084727
usercpu_time_millis
21.89600000201608
usercpu_time_millis
21.863999994820915
usercpu_time_millis_testing
0.7699999987380579
usercpu_time_millis_testing
1.2439999991329387
usercpu_time_millis_testing
0.7799999984854367
usercpu_time_millis_testing
1.3020000005781185
usercpu_time_millis_testing
0.9080000018002465
usercpu_time_millis_testing
0.8039999993343372
usercpu_time_millis_testing
0.8740000012039673
usercpu_time_millis_testing
0.8239999988290947
usercpu_time_millis_testing
1.1660000018309802
usercpu_time_millis_testing
0.9399999980814755
usercpu_time_millis_training
14.60399999996298
usercpu_time_millis_training
20.682000002125278
usercpu_time_millis_training
17.321999999694526
usercpu_time_millis_training
20.813999999518273
usercpu_time_millis_training
17.15600000170525
usercpu_time_millis_training
17.769999998563435
usercpu_time_millis_training
15.16799999808427
usercpu_time_millis_training
16.942000002018176
usercpu_time_millis_training
20.7300000001851
usercpu_time_millis_training
20.92399999673944
wall_clock_time_millis
8.045196533203125
wall_clock_time_millis
12.046337127685547
wall_clock_time_millis
10.019779205322266
wall_clock_time_millis
12.139081954956055
wall_clock_time_millis
10.528087615966797
wall_clock_time_millis
9.64212417602539
wall_clock_time_millis
8.872032165527344
wall_clock_time_millis
10.071754455566406
wall_clock_time_millis
22.016525268554688
wall_clock_time_millis
12.485027313232422
wall_clock_time_millis_testing
0.3879070281982422
wall_clock_time_millis_testing
0.7503032684326172
wall_clock_time_millis_testing
0.39505958557128906
wall_clock_time_millis_testing
0.6580352783203125
wall_clock_time_millis_testing
0.4858970642089844
wall_clock_time_millis_testing
0.41413307189941406
wall_clock_time_millis_testing
0.6170272827148438
wall_clock_time_millis_testing
0.4398822784423828
wall_clock_time_millis_testing
1.7421245574951172
wall_clock_time_millis_testing
0.4811286926269531
wall_clock_time_millis_training
7.657289505004883
wall_clock_time_millis_training
11.29603385925293
wall_clock_time_millis_training
9.624719619750977
wall_clock_time_millis_training
11.481046676635742
wall_clock_time_millis_training
10.042190551757812
wall_clock_time_millis_training
9.227991104125977
wall_clock_time_millis_training
8.2550048828125
wall_clock_time_millis_training
9.631872177124023
wall_clock_time_millis_training
20.27440071105957
wall_clock_time_millis_training
12.003898620605469
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
0.75 [0.879265,0.440252]