10550392
8323
Heinrich Peters
3903
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275616
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
10
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
10000
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"lbfgs"
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.
1050
pc3
https://www.openml.org/data/download/53933/pc3.arff
-1
22025739
description
https://api.openml.org/data/download/22025739/description.xml
-1
22025740
predictions
https://api.openml.org/data/download/22025740/predictions.arff
area_under_roc_curve
0.8174714896650036 [0.817471,0.817471]
average_cost
0
f_measure
0.8738989167585287 [0.945455,0.246445]
kappa
0.207214018432209
kb_relative_information_score
-0.07582637154982919
mean_absolute_error
0.15104092347260736
mean_prior_absolute_error
0.1841804999396983
weighted_recall
0.8982725527831094 [0.982181,0.1625]
number_of_instances
1563 [1403,160]
precision
0.8702678697127532 [0.911376,0.509804]
predictive_accuracy
0.8982725527831095
prior_entropy
0.47645699262891783
relative_absolute_error
0.8200701134053768
root_mean_prior_squared_error
0.30313107457396465
root_mean_squared_error
0.2814008612412802
root_relative_squared_error
0.9283141348565959
total_cost
0
unweighted_recall
0.5723405203136137 [0.982181,0.1625]
area_under_roc_curve
0.7225177304964537 [0.722518,0.722518]
area_under_roc_curve
0.8962765957446808 [0.896277,0.896277]
area_under_roc_curve
0.886081560283688 [0.886082,0.886082]
area_under_roc_curve
0.8227678571428572 [0.822768,0.822768]
area_under_roc_curve
0.7857142857142857 [0.785714,0.785714]
area_under_roc_curve
0.7993303571428572 [0.79933,0.79933]
area_under_roc_curve
0.8165178571428572 [0.816518,0.816518]
area_under_roc_curve
0.8330357142857142 [0.833036,0.833036]
area_under_roc_curve
0.840625 [0.840625,0.840625]
area_under_roc_curve
0.8310267857142858 [0.831027,0.831027]
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
0.8531371257046636 [0.931034,0.166667]
f_measure
0.8653931953860217 [0.94198,0.190476]
f_measure
0.8872431602177767 [0.948454,0.347826]
f_measure
0.9069206655413552 [0.958621,0.454545]
f_measure
0.8774928774928773 [0.952381,0.222222]
f_measure
0.8687741482262029 [0.945205,0.2]
f_measure
0.8730845228060965 [0.948805,0.210526]
f_measure
0.8804803443978704 [0.948454,0.285714]
f_measure
0.864544390317586 [0.941581,0.190476]
f_measure
0.8603809983120326 [0.937931,0.181818]
kappa
0.1059225512528477
kappa
0.14918712145361815
kappa
0.3046944198405672
kappa
0.42222222222222267
kappa
0.20408163265306098
kappa
0.16577540106951896
kappa
0.18410041841004185
kappa
0.24903722721437752
kappa
0.14890885750962818
kappa
0.13333333333333316
kb_relative_information_score
-0.3632384980160066
kb_relative_information_score
-0.12305902976519086
kb_relative_information_score
-0.03631992744470134
kb_relative_information_score
0.046636454648439976
kb_relative_information_score
0.015910863947299243
kb_relative_information_score
0.04709132064412926
kb_relative_information_score
-0.03784054666637523
kb_relative_information_score
-0.03308378671069665
kb_relative_information_score
-0.09691830544692571
kb_relative_information_score
-0.17682115787888203
mean_absolute_error
0.1764287529227831
mean_absolute_error
0.16048017842594178
mean_absolute_error
0.14683544666631546
mean_absolute_error
0.1338223504189604
mean_absolute_error
0.14382634257048024
mean_absolute_error
0.13963270792057797
mean_absolute_error
0.14568345696924226
mean_absolute_error
0.15004144050689844
mean_absolute_error
0.15046397729074915
mean_absolute_error
0.16299828867773117
mean_prior_absolute_error
0.18381799312183292
mean_prior_absolute_error
0.18381799312183292
mean_prior_absolute_error
0.18381799312183292
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
number_of_instances
157 [141,16]
number_of_instances
157 [141,16]
number_of_instances
157 [141,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
precision
0.8391826614799299 [0.90604,0.25]
precision
0.8561347636607443 [0.907895,0.4]
precision
0.884476797088262 [0.92,0.571429]
precision
0.917094017094017 [0.926667,0.833333]
precision
0.9184149184149183 [0.909091,1]
precision
0.8660593792172739 [0.907895,0.5]
precision
0.8836936483995308 [0.908497,0.666667]
precision
0.8817116658176261 [0.913907,0.6]
precision
0.8552555612158261 [0.907285,0.4]
precision
0.8478632478632477 [0.906667,0.333333]
predictive_accuracy
0.8726114649681529
predictive_accuracy
0.89171974522293
predictive_accuracy
0.9044585987261147
predictive_accuracy
0.923076923076923
predictive_accuracy
0.9102564102564102
predictive_accuracy
0.8974358974358974
predictive_accuracy
0.9038461538461539
predictive_accuracy
0.9038461538461539
predictive_accuracy
0.891025641025641
predictive_accuracy
0.8846153846153847
prior_entropy
0.47503096657936333
prior_entropy
0.47503096657936333
prior_entropy
0.47503096657936333
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
relative_absolute_error
0.9598013226368307
relative_absolute_error
0.8730384643008096
relative_absolute_error
0.7988088879253199
relative_absolute_error
0.7259663281327221
relative_absolute_error
0.7802364962038282
relative_absolute_error
0.7574866525582157
relative_absolute_error
0.7903110653379887
relative_absolute_error
0.8139524772321175
relative_absolute_error
0.8162446763790671
relative_absolute_error
0.8842414495996205
root_mean_prior_squared_error
0.30253254627312504
root_mean_prior_squared_error
0.30253254627312504
root_mean_prior_squared_error
0.30253254627312504
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_squared_error
0.310784776595102
root_mean_squared_error
0.27559700980615354
root_mean_squared_error
0.2637357525057674
root_mean_squared_error
0.25628906269884333
root_mean_squared_error
0.28191330532231246
root_mean_squared_error
0.27934533592350974
root_mean_squared_error
0.27999661343010773
root_mean_squared_error
0.2750572172348912
root_mean_squared_error
0.28816781045181944
root_mean_squared_error
0.2990813350954868
root_relative_squared_error
1.027277165460826
root_relative_squared_error
0.9109664834452086
root_relative_squared_error
0.8717599337813656
root_relative_squared_error
0.8447543432599273
root_relative_squared_error
0.9292144057416314
root_relative_squared_error
0.9207501221699743
root_relative_squared_error
0.9228967978672226
root_relative_squared_error
0.9066160547678038
root_relative_squared_error
0.9498298792130881
root_relative_squared_error
0.9858019462452481
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
0.5412234042553192 [0.957447,0.125]
unweighted_recall
0.5518617021276595 [0.978723,0.125]
unweighted_recall
0.6143617021276595 [0.978723,0.25]
unweighted_recall
0.6526785714285714 [0.992857,0.3125]
unweighted_recall
0.5625 [1,0.125]
unweighted_recall
0.5553571428571429 [0.985714,0.125]
unweighted_recall
0.5589285714285714 [0.992857,0.125]
unweighted_recall
0.5866071428571429 [0.985714,0.1875]
unweighted_recall
0.5517857142857143 [0.978571,0.125]
unweighted_recall
0.5482142857142858 [0.971429,0.125]
usercpu_time_millis
88.06724095484242
usercpu_time_millis
70.62765303999186
usercpu_time_millis
71.58148306189105
usercpu_time_millis
68.99889797205105
usercpu_time_millis
82.94371201191097
usercpu_time_millis
80.52911097183824
usercpu_time_millis
83.47704808693379
usercpu_time_millis
77.75007898453623
usercpu_time_millis
78.54066300205886
usercpu_time_millis
84.55656096339226
usercpu_time_millis_testing
0.5472949706017971
usercpu_time_millis_testing
0.5588530329987407
usercpu_time_millis_testing
0.537614047061652
usercpu_time_millis_testing
0.5560260033234954
usercpu_time_millis_testing
0.565266003832221
usercpu_time_millis_testing
0.5756759783253074
usercpu_time_millis_testing
0.530816032551229
usercpu_time_millis_testing
0.5593710229732096
usercpu_time_millis_testing
0.606329005677253
usercpu_time_millis_testing
0.537831976544112
usercpu_time_millis_training
87.51994598424062
usercpu_time_millis_training
70.06880000699311
usercpu_time_millis_training
71.0438690148294
usercpu_time_millis_training
68.44287196872756
usercpu_time_millis_training
82.37844600807875
usercpu_time_millis_training
79.95343499351293
usercpu_time_millis_training
82.94623205438256
usercpu_time_millis_training
77.19070796156302
usercpu_time_millis_training
77.93433399638161
usercpu_time_millis_training
84.01872898684815
wall_clock_time_millis
88.10973167419434
wall_clock_time_millis
70.64318656921387
wall_clock_time_millis
71.58374786376953
wall_clock_time_millis
69.00501251220703
wall_clock_time_millis
82.94558525085449
wall_clock_time_millis
80.53350448608398
wall_clock_time_millis
83.47964286804199
wall_clock_time_millis
77.75449752807617
wall_clock_time_millis
78.54604721069336
wall_clock_time_millis
84.56087112426758
wall_clock_time_millis_testing
0.5497932434082031
wall_clock_time_millis_testing
0.5621910095214844
wall_clock_time_millis_testing
0.5404949188232422
wall_clock_time_millis_testing
0.5590915679931641
wall_clock_time_millis_testing
0.5686283111572266
wall_clock_time_millis_testing
0.5784034729003906
wall_clock_time_millis_testing
0.5335807800292969
wall_clock_time_millis_testing
0.5619525909423828
wall_clock_time_millis_testing
0.6098747253417969
wall_clock_time_millis_testing
0.5402565002441406
wall_clock_time_millis_training
87.55993843078613
wall_clock_time_millis_training
70.08099555969238
wall_clock_time_millis_training
71.04325294494629
wall_clock_time_millis_training
68.44592094421387
wall_clock_time_millis_training
82.37695693969727
wall_clock_time_millis_training
79.9551010131836
wall_clock_time_millis_training
82.9460620880127
wall_clock_time_millis_training
77.19254493713379
wall_clock_time_millis_training
77.93617248535156
wall_clock_time_millis_training
84.02061462402344
weighted_recall
0.8726114649681529 [0.957447,0.125]
weighted_recall
0.89171974522293 [0.978723,0.125]
weighted_recall
0.9044585987261147 [0.978723,0.25]
weighted_recall
0.9230769230769231 [0.992857,0.3125]
weighted_recall
0.9102564102564102 [1,0.125]
weighted_recall
0.8974358974358975 [0.985714,0.125]
weighted_recall
0.9038461538461539 [0.992857,0.125]
weighted_recall
0.9038461538461539 [0.985714,0.1875]
weighted_recall
0.8910256410256411 [0.978571,0.125]
weighted_recall
0.8846153846153846 [0.971429,0.125]