10551536
8323
Heinrich Peters
3918
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.
1068
pc1
https://www.openml.org/data/download/53951/pc1.arff
-1
22028027
description
https://api.openml.org/data/download/22028027/description.xml
-1
22028028
predictions
https://api.openml.org/data/download/22028028/predictions.arff
area_under_roc_curve
0.807283801469848 [0.807284,0.807284]
average_cost
0
f_measure
0.905910232136477 [0.961321,0.163265]
kappa
0.13760336848494123
kb_relative_information_score
-0.2122647507599175
mean_absolute_error
0.11506759957409343
mean_prior_absolute_error
0.12988972477049396
weighted_recall
0.9260595130748422 [0.987403,0.103896]
number_of_instances
1109 [1032,77]
precision
0.8980025283332449 [0.936581,0.380952]
predictive_accuracy
0.9260595130748421
prior_entropy
0.36380676688852276
relative_absolute_error
0.885886853462888
root_mean_prior_squared_error
0.25418837468358885
root_mean_squared_error
0.2516945020339012
root_relative_squared_error
0.9901888799879538
total_cost
0
unweighted_recall
0.5456496023356489 [0.987403,0.103896]
area_under_roc_curve
0.6648351648351648 [0.664835,0.664835]
area_under_roc_curve
0.8351648351648352 [0.835165,0.835165]
area_under_roc_curve
0.8737864077669903 [0.873786,0.873786]
area_under_roc_curve
0.6468446601941747 [0.646845,0.646845]
area_under_roc_curve
0.7645631067961165 [0.764563,0.764563]
area_under_roc_curve
0.8592233009708737 [0.859223,0.859223]
area_under_roc_curve
0.8980582524271844 [0.898058,0.898058]
area_under_roc_curve
0.8422330097087378 [0.842233,0.842233]
area_under_roc_curve
0.7912621359223302 [0.791262,0.791262]
area_under_roc_curve
0.8723994452149791 [0.872399,0.872399]
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
0.926433442788583 [0.971963,0.25]
f_measure
0.8973480522776298 [0.957746,0]
f_measure
0.901452076807527 [0.957346,0.181818]
f_measure
0.8887197056211139 [0.957746,0]
f_measure
0.9073261941186469 [0.962264,0.2]
f_measure
0.9233516152947432 [0.966825,0.363636]
f_measure
0.8795525383203108 [0.947867,0]
f_measure
0.9073261941186469 [0.962264,0.2]
f_measure
0.9281426707264028 [0.966507,0.363636]
kappa
0.23798627002288333
kappa
-0.028836251287332113
kappa
0.14833759590792903
kappa
-0.016276703967446498
kappa
0.17625231910946135
kappa
0
kappa
0.3375959079283886
kappa
-0.0409207161125317
kappa
0.17625231910946135
kappa
0.33275563258232294
kb_relative_information_score
-0.0913165427609301
kb_relative_information_score
-0.3453537764645429
kb_relative_information_score
-0.17546255410332376
kb_relative_information_score
-0.40547096223955004
kb_relative_information_score
-0.17494241819569356
kb_relative_information_score
-0.05715525790125354
kb_relative_information_score
0.07704517134365846
kb_relative_information_score
-0.349521977357931
kb_relative_information_score
-0.3793080092492184
kb_relative_information_score
-0.22326902638549428
mean_absolute_error
0.10117039473642452
mean_absolute_error
0.11770361062791129
mean_absolute_error
0.12233833609708514
mean_absolute_error
0.1280149952378475
mean_absolute_error
0.11122401855015424
mean_absolute_error
0.10817132626223548
mean_absolute_error
0.09961011542316665
mean_absolute_error
0.1282436747607071
mean_absolute_error
0.12553055186316744
mean_absolute_error
0.10861080284230883
mean_prior_absolute_error
0.12441514421712434
mean_prior_absolute_error
0.12441514421712434
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1249079453399885
number_of_instances
111 [104,7]
number_of_instances
111 [104,7]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
110 [103,7]
precision
0.9488943488943489 [0.945455,1]
precision
0.8767666749318126 [0.93578,0]
precision
0.8918084751418085 [0.935185,0.333333]
precision
0.8604422604422604 [0.927273,0]
precision
0.9043722621704273 [0.93578,0.5]
precision
0.9244244244244243 [0.944444,0.666667]
precision
0.8591925258591925 [0.925926,0]
precision
0.9043722621704273 [0.93578,0.5]
precision
0.9240137221269297 [0.95283,0.5]
predictive_accuracy
0.9459459459459459
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.927927927927928
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9369369369369369
predictive_accuracy
0.9009009009009009
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9363636363636364
prior_entropy
0.3400686187404258
prior_entropy
0.3400686187404258
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.3422054374333021
relative_absolute_error
0.8131678452252242
relative_absolute_error
0.9460553324802619
relative_absolute_error
0.9256894064197227
relative_absolute_error
0.9686426081560068
relative_absolute_error
0.8415914340178903
relative_absolute_error
0.8184928289351544
relative_absolute_error
0.7537132804086599
relative_absolute_error
0.9703729423957028
relative_absolute_error
0.9498437345881505
relative_absolute_error
0.8695267746713767
root_mean_prior_squared_error
0.24318130946048286
root_mean_prior_squared_error
0.24318130946048286
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.24419244540685378
root_mean_squared_error
0.23001183008836867
root_mean_squared_error
0.24986936528921627
root_mean_squared_error
0.2693473125088725
root_mean_squared_error
0.271114183732076
root_mean_squared_error
0.25486776009978296
root_mean_squared_error
0.24471586284626443
root_mean_squared_error
0.2264976057267891
root_mean_squared_error
0.27448098396755033
root_mean_squared_error
0.26160098109418806
root_mean_squared_error
0.22823075932719455
root_relative_squared_error
0.945845018265048
root_relative_squared_error
1.0275023431840689
root_relative_squared_error
1.0415034806058177
root_relative_squared_error
1.0483355611326584
root_relative_squared_error
0.9855144154422871
root_relative_squared_error
0.9462593873307893
root_relative_squared_error
0.8758136196572014
root_relative_squared_error
1.0613541954419778
root_relative_squared_error
1.011550216713295
root_relative_squared_error
0.9346348079971715
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
0.5714285714285714 [1,0.142857]
unweighted_recall
0.49038461538461536 [0.980769,0]
unweighted_recall
0.5527912621359223 [0.980583,0.125]
unweighted_recall
0.49514563106796117 [0.990291,0]
unweighted_recall
0.5576456310679612 [0.990291,0.125]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.6201456310679612 [0.990291,0.25]
unweighted_recall
0.4854368932038835 [0.970874,0]
unweighted_recall
0.5576456310679612 [0.990291,0.125]
unweighted_recall
0.6331484049930651 [0.980583,0.285714]
usercpu_time_millis
40.30491004232317
usercpu_time_millis
48.8490869756788
usercpu_time_millis
44.329492026008666
usercpu_time_millis
51.61969899199903
usercpu_time_millis
42.3181889927946
usercpu_time_millis
41.88217205228284
usercpu_time_millis
45.764122041873634
usercpu_time_millis
41.958335030358285
usercpu_time_millis
37.131168064661324
usercpu_time_millis
43.305416009388864
usercpu_time_millis_testing
0.5213110125623643
usercpu_time_millis_testing
0.5143189919181168
usercpu_time_millis_testing
0.515413994435221
usercpu_time_millis_testing
0.4625690053217113
usercpu_time_millis_testing
0.46157202450558543
usercpu_time_millis_testing
0.4565720446407795
usercpu_time_millis_testing
0.45578600838780403
usercpu_time_millis_testing
0.45184604823589325
usercpu_time_millis_testing
0.501855043694377
usercpu_time_millis_testing
0.47461100621148944
usercpu_time_millis_training
39.78359902976081
usercpu_time_millis_training
48.334767983760685
usercpu_time_millis_training
43.814078031573445
usercpu_time_millis_training
51.15712998667732
usercpu_time_millis_training
41.85661696828902
usercpu_time_millis_training
41.42560000764206
usercpu_time_millis_training
45.30833603348583
usercpu_time_millis_training
41.50648898212239
usercpu_time_millis_training
36.62931302096695
usercpu_time_millis_training
42.830805003177375
wall_clock_time_millis
40.31014442443848
wall_clock_time_millis
48.8889217376709
wall_clock_time_millis
44.336795806884766
wall_clock_time_millis
51.62549018859863
wall_clock_time_millis
42.32144355773926
wall_clock_time_millis
41.88251495361328
wall_clock_time_millis
45.77207565307617
wall_clock_time_millis
41.964054107666016
wall_clock_time_millis
37.13560104370117
wall_clock_time_millis
43.308258056640625
wall_clock_time_millis_testing
0.5247592926025391
wall_clock_time_millis_testing
0.5176067352294922
wall_clock_time_millis_testing
0.5202293395996094
wall_clock_time_millis_testing
0.46706199645996094
wall_clock_time_millis_testing
0.4646778106689453
wall_clock_time_millis_testing
0.4591941833496094
wall_clock_time_millis_testing
0.4601478576660156
wall_clock_time_millis_testing
0.45561790466308594
wall_clock_time_millis_testing
0.5064010620117188
wall_clock_time_millis_testing
0.4775524139404297
wall_clock_time_millis_training
39.78538513183594
wall_clock_time_millis_training
48.371315002441406
wall_clock_time_millis_training
43.816566467285156
wall_clock_time_millis_training
51.15842819213867
wall_clock_time_millis_training
41.85676574707031
wall_clock_time_millis_training
41.42332077026367
wall_clock_time_millis_training
45.311927795410156
wall_clock_time_millis_training
41.50843620300293
wall_clock_time_millis_training
36.62919998168945
wall_clock_time_millis_training
42.830705642700195
weighted_recall
0.9459459459459459 [1,0.142857]
weighted_recall
0.918918918918919 [0.980769,0]
weighted_recall
0.918918918918919 [0.980583,0.125]
weighted_recall
0.918918918918919 [0.990291,0]
weighted_recall
0.9279279279279279 [0.990291,0.125]
weighted_recall
0.9279279279279279 [1,0]
weighted_recall
0.9369369369369369 [0.990291,0.25]
weighted_recall
0.9009009009009009 [0.970874,0]
weighted_recall
0.9279279279279279 [0.990291,0.125]
weighted_recall
0.9363636363636364 [0.980583,0.285714]