10558199
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)
8275575
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
0.01
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
22041361
description
https://api.openml.org/data/download/22041361/description.xml
-1
22041362
predictions
https://api.openml.org/data/download/22041362/predictions.arff
area_under_roc_curve
0.8127146449716846 [0.812715,0.812715]
average_cost
0
f_measure
0.7301712213328645 [0.82821,0.494161]
kappa
0.3280435280329057
kb_relative_information_score
0.22253362007481617
mean_absolute_error
0.3198807181681259
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.7435233160621761 [0.875065,0.42686]
number_of_instances
5404 [3818,1586]
precision
0.7275781245625647 [0.786118,0.586655]
predictive_accuracy
0.7435233160621761
prior_entropy
0.8731822780289229
relative_absolute_error
0.771288036389666
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.3970624017207829
root_relative_squared_error
0.8719760284968712
total_cost
0
unweighted_recall
0.6509627522646098 [0.875065,0.42686]
area_under_roc_curve
0.7915966939971681 [0.791597,0.791597]
area_under_roc_curve
0.8267970627942968 [0.826797,0.826797]
area_under_roc_curve
0.7822285883631335 [0.782229,0.782229]
area_under_roc_curve
0.8221870986861602 [0.822187,0.822187]
area_under_roc_curve
0.8049738219895288 [0.804974,0.804974]
area_under_roc_curve
0.7973192391808601 [0.797319,0.797319]
area_under_roc_curve
0.8539333289151038 [0.853933,0.853933]
area_under_roc_curve
0.8140201471270461 [0.81402,0.81402]
area_under_roc_curve
0.8102807903729013 [0.810281,0.810281]
area_under_roc_curve
0.827679558923059 [0.82768,0.82768]
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
0.7383491931044655 [0.832298,0.512635]
f_measure
0.7342016529611215 [0.825157,0.515679]
f_measure
0.6960330338964323 [0.809348,0.423792]
f_measure
0.7506774466064108 [0.839352,0.537634]
f_measure
0.7283801729653061 [0.828183,0.487085]
f_measure
0.7336118773523604 [0.825157,0.512281]
f_measure
0.7516828097836101 [0.840796,0.536232]
f_measure
0.7127671212206944 [0.824818,0.44186]
f_measure
0.7293428696906958 [0.827329,0.494545]
f_measure
0.7243416334038149 [0.829865,0.471483]
kappa
0.34983486597883057
kappa
0.34360133725548375
kappa
0.24146758451003636
kappa
0.38118798712526264
kappa
0.321534456576759
kappa
0.34023627030447934
kappa
0.3814875796406329
kappa
0.27812848124767914
kappa
0.3274916675626276
kappa
0.31104747218856693
kb_relative_information_score
0.20356803767857073
kb_relative_information_score
0.2289862541949984
kb_relative_information_score
0.19585333645266953
kb_relative_information_score
0.2401687900168199
kb_relative_information_score
0.20877474818194677
kb_relative_information_score
0.1951954007840324
kb_relative_information_score
0.2644955290540605
kb_relative_information_score
0.22991343091380853
kb_relative_information_score
0.2127811041330218
kb_relative_information_score
0.24564458146631868
mean_absolute_error
0.32667171254720184
mean_absolute_error
0.31949021296973873
mean_absolute_error
0.3281995184363937
mean_absolute_error
0.31354222627549005
mean_absolute_error
0.32633699976957464
mean_absolute_error
0.3291243233586436
mean_absolute_error
0.30639348855765175
mean_absolute_error
0.31475912555482294
mean_absolute_error
0.3222463494798488
mean_absolute_error
0.3120277047364118
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
0.7360425921494398 [0.791962,0.601695]
precision
0.7306876530100745 [0.794189,0.578125]
precision
0.6912887186579026 [0.763341,0.518182]
precision
0.7489029069946127 [0.800475,0.625]
precision
0.7258865485036963 [0.784543,0.584071]
precision
0.7299982276226771 [0.794189,0.574803]
precision
0.7500867242051273 [0.800948,0.627119]
precision
0.7118030303030303 [0.770455,0.57]
precision
0.7267327224752403 [0.785377,0.586207]
precision
0.724119814945503 [0.777523,0.596154]
predictive_accuracy
0.7504621072088724
predictive_accuracy
0.7430683918669131
predictive_accuracy
0.7134935304990758
predictive_accuracy
0.7615526802218114
predictive_accuracy
0.7425925925925925
predictive_accuracy
0.7425925925925925
predictive_accuracy
0.762962962962963
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.7425925925925925
predictive_accuracy
0.7425925925925925
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
0.7873379049196915
relative_absolute_error
0.7700291921835541
relative_absolute_error
0.7910201934121376
relative_absolute_error
0.755693468573377
relative_absolute_error
0.7875559451002893
relative_absolute_error
0.7942826517410916
relative_absolute_error
0.7394258500383915
relative_absolute_error
0.7596148177506801
relative_absolute_error
0.7762515663880507
relative_absolute_error
0.7516361161238048
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
0.40373782653793816
root_mean_squared_error
0.39201919386210493
root_mean_squared_error
0.40995943349448893
root_mean_squared_error
0.3930426003934626
root_mean_squared_error
0.4005675313064154
root_mean_squared_error
0.40231849554935906
root_mean_squared_error
0.3775401212921412
root_mean_squared_error
0.3983152250152079
root_mean_squared_error
0.39996211193229264
root_mean_squared_error
0.39225159070648813
root_relative_squared_error
0.8862706004778578
root_relative_squared_error
0.8605462840137568
root_relative_squared_error
0.8999280459062495
root_relative_squared_error
0.8627928288293789
root_relative_squared_error
0.8804572854771735
root_relative_squared_error
0.8843059479468495
root_relative_squared_error
0.8298424719234794
root_relative_squared_error
0.8755066608552723
root_relative_squared_error
0.8775073243758844
root_relative_squared_error
0.8605906248972484
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
0.6617521156442425 [0.876963,0.446541]
unweighted_recall
0.662023774243472 [0.858639,0.465409]
unweighted_recall
0.6098735552701768 [0.861257,0.358491]
unweighted_recall
0.6769485330435642 [0.882199,0.471698]
unweighted_recall
0.647342434886341 [0.876963,0.417722]
unweighted_recall
0.6603320299555968 [0.858639,0.462025]
unweighted_recall
0.6765855921532242 [0.884817,0.468354]
unweighted_recall
0.624097024322354 [0.887435,0.360759]
unweighted_recall
0.6508443520031695 [0.874016,0.427673]
unweighted_recall
0.6398504432228991 [0.889764,0.389937]
usercpu_time_millis
28.394000000844244
usercpu_time_millis
30.746000000362983
usercpu_time_millis
35.55199999755132
usercpu_time_millis
32.33199999522185
usercpu_time_millis
40.57200000170269
usercpu_time_millis
33.2879999987199
usercpu_time_millis
33.71999999944819
usercpu_time_millis
33.41999999975087
usercpu_time_millis
33.501999994768994
usercpu_time_millis
42.62200000448502
usercpu_time_millis_testing
1.4200000005075708
usercpu_time_millis_testing
1.2019999994663522
usercpu_time_millis_testing
1.251999998203246
usercpu_time_millis_testing
1.3919999983045273
usercpu_time_millis_testing
1.8899999995483086
usercpu_time_millis_testing
1.4579999988200143
usercpu_time_millis_testing
1.1840000006486662
usercpu_time_millis_testing
1.2700000006589107
usercpu_time_millis_testing
1.945999996678438
usercpu_time_millis_testing
2.0180000028631184
usercpu_time_millis_training
26.974000000336673
usercpu_time_millis_training
29.54400000089663
usercpu_time_millis_training
34.299999999348074
usercpu_time_millis_training
30.939999996917322
usercpu_time_millis_training
38.68200000215438
usercpu_time_millis_training
31.829999999899883
usercpu_time_millis_training
32.535999998799525
usercpu_time_millis_training
32.14999999909196
usercpu_time_millis_training
31.555999998090556
usercpu_time_millis_training
40.6040000016219
wall_clock_time_millis
10.799169540405273
wall_clock_time_millis
7.883787155151367
wall_clock_time_millis
9.351968765258789
wall_clock_time_millis
8.414030075073242
wall_clock_time_millis
13.86117935180664
wall_clock_time_millis
8.797883987426758
wall_clock_time_millis
9.43303108215332
wall_clock_time_millis
9.135007858276367
wall_clock_time_millis
8.761405944824219
wall_clock_time_millis
11.490821838378906
wall_clock_time_millis_testing
0.3771781921386719
wall_clock_time_millis_testing
0.30303001403808594
wall_clock_time_millis_testing
0.31495094299316406
wall_clock_time_millis_testing
0.3609657287597656
wall_clock_time_millis_testing
2.496004104614258
wall_clock_time_millis_testing
0.37288665771484375
wall_clock_time_millis_testing
0.9589195251464844
wall_clock_time_millis_testing
0.3230571746826172
wall_clock_time_millis_testing
0.5335807800292969
wall_clock_time_millis_testing
0.5068778991699219
wall_clock_time_millis_training
10.421991348266602
wall_clock_time_millis_training
7.580757141113281
wall_clock_time_millis_training
9.037017822265625
wall_clock_time_millis_training
8.053064346313477
wall_clock_time_millis_training
11.365175247192383
wall_clock_time_millis_training
8.424997329711914
wall_clock_time_millis_training
8.474111557006836
wall_clock_time_millis_training
8.81195068359375
wall_clock_time_millis_training
8.227825164794922
wall_clock_time_millis_training
10.983943939208984
weighted_recall
0.7504621072088724 [0.876963,0.446541]
weighted_recall
0.7430683918669131 [0.858639,0.465409]
weighted_recall
0.7134935304990758 [0.861257,0.358491]
weighted_recall
0.7615526802218114 [0.882199,0.471698]
weighted_recall
0.7425925925925926 [0.876963,0.417722]
weighted_recall
0.7425925925925926 [0.858639,0.462025]
weighted_recall
0.762962962962963 [0.884817,0.468354]
weighted_recall
0.7333333333333333 [0.887435,0.360759]
weighted_recall
0.7425925925925926 [0.874016,0.427673]
weighted_recall
0.7425925925925926 [0.889764,0.389937]