10550234
8323
Heinrich Peters
9960
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275614
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
1.0
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
100
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"liblinear"
13106
tol
0.0001
13106
verbose
0
13106
warm_start
false
13106
copy
true
13294
with_mean
true
13294
with_std
true
13294
memory
null
18601
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"}}]
18601
verbose
false
18601
openml-python
Sklearn_0.21.2.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22025423
description
https://api.openml.org/data/download/22025423/description.xml
-1
22025424
predictions
https://api.openml.org/data/download/22025424/predictions.arff
area_under_roc_curve
0.8752710498301053 [0.858117,0.864707,0.963909,0.912686]
average_cost
0
f_measure
0.6794080445145148 [0.718054,0.72074,0.537477,0.527672]
kappa
0.5124867343660244
kb_relative_information_score
0.47105176549628347
mean_absolute_error
0.2130212127841621
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.687133431085044 [0.7161,0.79876,0.448171,0.421308]
number_of_instances
5456 [2205,2097,328,826]
precision
0.6905726981633112 [0.720018,0.656605,0.671233,0.705882]
predictive_accuracy
0.687133431085044
prior_entropy
1.7146330399083418
relative_absolute_error
0.6431059121580585
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.32065772601541426
root_relative_squared_error
0.7879661282071109
total_cost
0
unweighted_recall
0.5960845361318245 [0.7161,0.79876,0.448171,0.421308]
area_under_roc_curve
0.8740308619815577 [0.861357,0.86131,0.958296,0.906854]
area_under_roc_curve
0.8686370597613144 [0.858462,0.850213,0.959064,0.906854]
area_under_roc_curve
0.8630886319216636 [0.838567,0.848852,0.964971,0.923599]
area_under_roc_curve
0.877764226144833 [0.853095,0.879238,0.950617,0.910458]
area_under_roc_curve
0.8720346134803161 [0.841829,0.866043,0.962727,0.931198]
area_under_roc_curve
0.8711003186701879 [0.860402,0.859084,0.961132,0.894064]
area_under_roc_curve
0.869677799354284 [0.85,0.85619,0.976365,0.914828]
area_under_roc_curve
0.8890827871272101 [0.884196,0.866655,0.982578,0.922521]
area_under_roc_curve
0.8948736187032299 [0.884909,0.887716,0.956854,0.915029]
area_under_roc_curve
0.8750891481078847 [0.850665,0.874516,0.967981,0.904994]
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
0.663921254642372 [0.714607,0.708972,0.472727,0.488889]
f_measure
0.6706094308987255 [0.709382,0.7,0.5625,0.534351]
f_measure
0.6737729094135684 [0.700461,0.707889,0.588235,0.550725]
f_measure
0.6892079304779046 [0.717949,0.74477,0.382979,0.594203]
f_measure
0.6842957154577273 [0.705618,0.721382,0.545455,0.589147]
f_measure
0.6677169705726633 [0.712644,0.707158,0.617647,0.46875]
f_measure
0.6737828817990793 [0.718954,0.709534,0.528302,0.519685]
f_measure
0.7005657102915073 [0.759551,0.724891,0.654545,0.5]
f_measure
0.676532253890394 [0.717241,0.733753,0.489796,0.496124]
f_measure
0.688637551002523 [0.723502,0.746835,0.48,0.530303]
kappa
0.49009234622006587
kappa
0.4988461877524776
kappa
0.5010105124629871
kappa
0.5307631439665879
kappa
0.5167433042494579
kappa
0.4998240311361378
kappa
0.5024827054893911
kappa
0.545540364071178
kappa
0.5106608850884929
kappa
0.5293460975429949
kb_relative_information_score
0.46903429023426413
kb_relative_information_score
0.4555165344998515
kb_relative_information_score
0.4626289367556955
kb_relative_information_score
0.4689886951107405
kb_relative_information_score
0.47276059299186196
kb_relative_information_score
0.4624678715370701
kb_relative_information_score
0.4791380481961558
kb_relative_information_score
0.49244892737440515
kb_relative_information_score
0.4826916175033563
kb_relative_information_score
0.464961336111033
mean_absolute_error
0.21284037093725483
mean_absolute_error
0.21748917061919504
mean_absolute_error
0.21590607617796026
mean_absolute_error
0.2128337487919904
mean_absolute_error
0.21301548981007
mean_absolute_error
0.215789169909985
mean_absolute_error
0.21026014401716075
mean_absolute_error
0.20795630215007252
mean_absolute_error
0.20730295888381214
mean_absolute_error
0.21680081260000203
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.3311205766710351
mean_prior_absolute_error
0.3311024296804111
mean_prior_absolute_error
0.3311861074705109
mean_prior_absolute_error
0.3311861074705109
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
545 [220,210,32,83]
number_of_instances
545 [221,209,32,83]
number_of_instances
545 [221,209,33,82]
number_of_instances
545 [221,209,33,82]
precision
0.6687910860991535 [0.709821,0.65587,0.590909,0.622642]
precision
0.6805140693351138 [0.717593,0.644,0.580645,0.714286]
precision
0.6880984091264466 [0.71028,0.640927,0.833333,0.690909]
precision
0.7045236045516599 [0.736842,0.664179,0.642857,0.745455]
precision
0.7018185518185518 [0.697778,0.660079,0.681818,0.826087]
precision
0.6778616968647543 [0.72093,0.649402,0.6,0.666667]
precision
0.6878628727679766 [0.690377,0.6639,0.666667,0.75]
precision
0.7101126200380431 [0.754464,0.666667,0.782609,0.673469]
precision
0.693865085448395 [0.728972,0.652985,0.75,0.680851]
precision
0.7030955186737186 [0.737089,0.667925,0.705882,0.7]
predictive_accuracy
0.6721611721611721
predictive_accuracy
0.6758241758241758
predictive_accuracy
0.6794871794871794
predictive_accuracy
0.6996336996336996
predictive_accuracy
0.6904761904761905
predictive_accuracy
0.6758241758241758
predictive_accuracy
0.6825688073394496
predictive_accuracy
0.708256880733945
predictive_accuracy
0.6880733944954129
predictive_accuracy
0.6990825688073394
prior_entropy
1.7138246699606299
prior_entropy
1.7138246699606299
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7121302787024806
prior_entropy
1.711997401430895
prior_entropy
1.714437400963805
prior_entropy
1.714437400963805
relative_absolute_error
0.6427437839804202
relative_absolute_error
0.65678241342548
relative_absolute_error
0.6515466519334702
relative_absolute_error
0.6422751915956786
relative_absolute_error
0.642823637262169
relative_absolute_error
0.6511938601601319
relative_absolute_error
0.6349957049816691
relative_absolute_error
0.628072413575453
relative_absolute_error
0.6259409866770169
relative_absolute_error
0.6546192841718343
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.4067990554858411
root_mean_prior_squared_error
0.40677675026179705
root_mean_prior_squared_error
0.4068795919478491
root_mean_prior_squared_error
0.4068795919478491
root_mean_squared_error
0.32125484589093417
root_mean_squared_error
0.3250350784749396
root_mean_squared_error
0.32567007776934875
root_mean_squared_error
0.32003992148442145
root_mean_squared_error
0.32144089868717013
root_mean_squared_error
0.3236493978278045
root_mean_squared_error
0.32151811326431523
root_mean_squared_error
0.31261622413089757
root_mean_squared_error
0.3134578684147629
root_mean_squared_error
0.3216012382233476
root_relative_squared_error
0.7896593587686529
root_relative_squared_error
0.7989513463494271
root_relative_squared_error
0.7999534609414691
root_relative_squared_error
0.7861239343339962
root_relative_squared_error
0.7895651978658355
root_relative_squared_error
0.7949900024507011
root_relative_squared_error
0.7903610122209486
root_relative_squared_error
0.7685203835511768
root_relative_squared_error
0.770394668639315
root_relative_squared_error
0.7904088693260589
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
0.5718160008332175 [0.719457,0.771429,0.393939,0.402439]
unweighted_recall
0.6100769866193109 [0.701357,0.766667,0.545455,0.426829]
unweighted_recall
0.5984405153079851 [0.690909,0.790476,0.454545,0.457831]
unweighted_recall
0.5785805559901945 [0.7,0.847619,0.272727,0.493976]
unweighted_recall
0.6053128096802796 [0.713636,0.795238,0.454545,0.457831]
unweighted_recall
0.6196363375580243 [0.704545,0.77619,0.636364,0.361446]
unweighted_recall
0.5867487808376363 [0.75,0.761905,0.4375,0.39759]
unweighted_recall
0.6297636542511165 [0.764706,0.794258,0.5625,0.39759]
unweighted_recall
0.574270798294811 [0.705882,0.837321,0.363636,0.390244]
unweighted_recall
0.5869407059752902 [0.710407,0.84689,0.363636,0.426829]
usercpu_time_millis
118.31763299414888
usercpu_time_millis
109.51079108053818
usercpu_time_millis
106.55423096613958
usercpu_time_millis
105.39165401132777
usercpu_time_millis
104.20470096869394
usercpu_time_millis
103.04045694647357
usercpu_time_millis
103.36331796133891
usercpu_time_millis
103.31836296245456
usercpu_time_millis
103.38397900341079
usercpu_time_millis
100.8579860208556
usercpu_time_millis_testing
0.8880299865268171
usercpu_time_millis_testing
0.812213052995503
usercpu_time_millis_testing
0.8501769625581801
usercpu_time_millis_testing
0.8090009796433151
usercpu_time_millis_testing
0.881147978361696
usercpu_time_millis_testing
0.866127957124263
usercpu_time_millis_testing
0.7761360029689968
usercpu_time_millis_testing
0.8110259659588337
usercpu_time_millis_testing
0.7959289941936731
usercpu_time_millis_testing
0.890041992533952
usercpu_time_millis_training
117.42960300762206
usercpu_time_millis_training
108.69857802754268
usercpu_time_millis_training
105.7040540035814
usercpu_time_millis_training
104.58265303168446
usercpu_time_millis_training
103.32355299033225
usercpu_time_millis_training
102.1743289893493
usercpu_time_millis_training
102.58718195836991
usercpu_time_millis_training
102.50733699649572
usercpu_time_millis_training
102.58805000921711
usercpu_time_millis_training
99.96794402832165
wall_clock_time_millis
118.35432052612305
wall_clock_time_millis
109.52043533325195
wall_clock_time_millis
106.55975341796875
wall_clock_time_millis
105.39746284484863
wall_clock_time_millis
104.21347618103027
wall_clock_time_millis
103.04880142211914
wall_clock_time_millis
103.37495803833008
wall_clock_time_millis
103.32679748535156
wall_clock_time_millis
103.39021682739258
wall_clock_time_millis
100.86345672607422
wall_clock_time_millis_testing
0.8943080902099609
wall_clock_time_millis_testing
0.8175373077392578
wall_clock_time_millis_testing
0.8542537689208984
wall_clock_time_millis_testing
0.8146762847900391
wall_clock_time_millis_testing
0.8852481842041016
wall_clock_time_millis_testing
0.8721351623535156
wall_clock_time_millis_testing
0.7815361022949219
wall_clock_time_millis_testing
0.81634521484375
wall_clock_time_millis_testing
0.8001327514648438
wall_clock_time_millis_testing
0.8947849273681641
wall_clock_time_millis_training
117.46001243591309
wall_clock_time_millis_training
108.7028980255127
wall_clock_time_millis_training
105.70549964904785
wall_clock_time_millis_training
104.5827865600586
wall_clock_time_millis_training
103.32822799682617
wall_clock_time_millis_training
102.17666625976562
wall_clock_time_millis_training
102.59342193603516
wall_clock_time_millis_training
102.51045227050781
wall_clock_time_millis_training
102.59008407592773
wall_clock_time_millis_training
99.96867179870605
weighted_recall
0.6721611721611722 [0.719457,0.771429,0.393939,0.402439]
weighted_recall
0.6758241758241759 [0.701357,0.766667,0.545455,0.426829]
weighted_recall
0.6794871794871795 [0.690909,0.790476,0.454545,0.457831]
weighted_recall
0.6996336996336996 [0.7,0.847619,0.272727,0.493976]
weighted_recall
0.6904761904761905 [0.713636,0.795238,0.454545,0.457831]
weighted_recall
0.6758241758241759 [0.704545,0.77619,0.636364,0.361446]
weighted_recall
0.6825688073394496 [0.75,0.761905,0.4375,0.39759]
weighted_recall
0.708256880733945 [0.764706,0.794258,0.5625,0.39759]
weighted_recall
0.6880733944954128 [0.705882,0.837321,0.363636,0.390244]
weighted_recall
0.6990825688073394 [0.710407,0.84689,0.363636,0.426829]