10547088
8323
Heinrich Peters
3904
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275626
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
0.165918932915
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
57
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.
1053
jm1
https://www.openml.org/data/download/53936/jm1.arff
-1
22019131
description
https://api.openml.org/data/download/22019131/description.xml
-1
22019132
predictions
https://api.openml.org/data/download/22019132/predictions.arff
area_under_roc_curve
0.7128512994025391 [0.712851,0.712851]
average_cost
0
f_measure
0.7561460490617964 [0.893939,0.181745]
kappa
0.12884628772559126
kb_relative_information_score
0.049713500907188804
mean_absolute_error
0.2805937220852583
mean_prior_absolute_error
0.31212214303703906
weighted_recall
0.8122186495176849 [0.981205,0.107787]
number_of_instances
10885 [8779,2106]
precision
0.7741364188014012 [0.820928,0.579082]
predictive_accuracy
0.812218649517685
prior_entropy
0.7086892261862012
relative_absolute_error
0.8989869137607474
root_mean_prior_squared_error
0.3950238150239175
root_mean_squared_error
0.3745470833934814
root_relative_squared_error
0.9481632983844374
total_cost
0
unweighted_recall
0.5444962115520645 [0.981205,0.107787]
area_under_roc_curve
0.712560321281672 [0.71256,0.71256]
area_under_roc_curve
0.7432553519955954 [0.743255,0.743255]
area_under_roc_curve
0.7163901154066221 [0.71639,0.71639]
area_under_roc_curve
0.693613771065217 [0.693614,0.693614]
area_under_roc_curve
0.7160257586716902 [0.716026,0.716026]
area_under_roc_curve
0.7290948042086994 [0.729095,0.729095]
area_under_roc_curve
0.7099387135264128 [0.709939,0.709939]
area_under_roc_curve
0.6865196876016922 [0.68652,0.68652]
area_under_roc_curve
0.7076689445709947 [0.707669,0.707669]
area_under_roc_curve
0.7181959177938578 [0.718196,0.718196]
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
0.7668857721943323 [0.895725,0.230769]
f_measure
0.760128492923735 [0.895119,0.198413]
f_measure
0.7673908412371938 [0.899482,0.217742]
f_measure
0.75480048429275 [0.893727,0.176707]
f_measure
0.753003596673945 [0.892004,0.174603]
f_measure
0.7478869252033535 [0.893023,0.141079]
f_measure
0.754601566070205 [0.895553,0.165289]
f_measure
0.7664059566733934 [0.896982,0.220472]
f_measure
0.751645558614452 [0.892691,0.161943]
f_measure
0.7379585252580063 [0.885075,0.126482]
kappa
0.17016558587528857
kappa
0.1444739155122392
kappa
0.16974117536096334
kappa
0.12495835374816222
kappa
0.11906224963636539
kappa
0.0962004590911277
kappa
0.12038934426229511
kappa
0.16460879816342994
kappa
0.11050727499644543
kappa
0.06636638968703888
kb_relative_information_score
0.05062589061883174
kb_relative_information_score
0.06563259496266165
kb_relative_information_score
0.07073660552094725
kb_relative_information_score
0.04687532661193254
kb_relative_information_score
0.042251694074703694
kb_relative_information_score
0.05078041398321031
kb_relative_information_score
0.06650892682763657
kb_relative_information_score
0.04225968129738848
kb_relative_information_score
0.03156546463353425
kb_relative_information_score
0.02986669546296911
mean_absolute_error
0.2786597545686294
mean_absolute_error
0.2787401049723453
mean_absolute_error
0.27711146367857964
mean_absolute_error
0.28184708473298786
mean_absolute_error
0.28219390318020293
mean_absolute_error
0.27996189924978016
mean_absolute_error
0.277804901638875
mean_absolute_error
0.28086445149663564
mean_absolute_error
0.2841466913374587
mean_absolute_error
0.2846110250956941
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.3118386270187333
mean_prior_absolute_error
0.3118386270187333
mean_prior_absolute_error
0.3118386270187333
mean_prior_absolute_error
0.3118386270187333
mean_prior_absolute_error
0.3124019844228689
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1088 [878,210]
number_of_instances
1088 [878,210]
number_of_instances
1088 [878,210]
number_of_instances
1088 [878,210]
number_of_instances
1088 [877,211]
precision
0.7845527127994659 [0.825962,0.612245]
precision
0.7812950342613009 [0.822519,0.609756]
precision
0.8066174775473081 [0.825095,0.72973]
precision
0.7734327509752145 [0.820171,0.578947]
precision
0.7648098339225775 [0.819656,0.536585]
precision
0.7654828140399504 [0.817408,0.548387]
precision
0.7824232676024955 [0.820076,0.625]
precision
0.7891314898477677 [0.82567,0.636364]
precision
0.7654305971752242 [0.81922,0.540541]
precision
0.7296752651825549 [0.813576,0.380952]
predictive_accuracy
0.8163452708907255
predictive_accuracy
0.8145087235996327
predictive_accuracy
0.8218549127640037
predictive_accuracy
0.8117539026629936
predictive_accuracy
0.8089990817263545
predictive_accuracy
0.8097426470588235
predictive_accuracy
0.8143382352941176
predictive_accuracy
0.8180147058823529
predictive_accuracy
0.8097426470588235
predictive_accuracy
0.796875
prior_entropy
0.7092626186985694
prior_entropy
0.7092626186985694
prior_entropy
0.7092626186985694
prior_entropy
0.7092626186985694
prior_entropy
0.7092626186985694
prior_entropy
0.7077368083817637
prior_entropy
0.7077368083817637
prior_entropy
0.7077368083817637
prior_entropy
0.7077368083817637
prior_entropy
0.7096292997655923
relative_absolute_error
0.8923027594025408
relative_absolute_error
0.8925600512639571
relative_absolute_error
0.8873449418099433
relative_absolute_error
0.9025089820599412
relative_absolute_error
0.9036195373245174
relative_absolute_error
0.8977781294328292
relative_absolute_error
0.8908610979171167
relative_absolute_error
0.900672422085039
relative_absolute_error
0.9111978655562415
relative_absolute_error
0.9110410281851578
root_mean_prior_squared_error
0.395239803273359
root_mean_prior_squared_error
0.395239803273359
root_mean_prior_squared_error
0.395239803273359
root_mean_prior_squared_error
0.395239803273359
root_mean_prior_squared_error
0.395239803273359
root_mean_prior_squared_error
0.39466479247293623
root_mean_prior_squared_error
0.39466479247293623
root_mean_prior_squared_error
0.39466479247293623
root_mean_prior_squared_error
0.39466479247293623
root_mean_prior_squared_error
0.3953778646078222
root_mean_squared_error
0.37139332892867977
root_mean_squared_error
0.37021478286584386
root_mean_squared_error
0.37063861335938963
root_mean_squared_error
0.3777776943959865
root_mean_squared_error
0.37636830162787716
root_mean_squared_error
0.37499005578679584
root_mean_squared_error
0.3718534761494373
root_mean_squared_error
0.37537276770836275
root_mean_squared_error
0.3772887567816992
root_mean_squared_error
0.3794487626907402
root_relative_squared_error
0.9396658075750879
root_relative_squared_error
0.9366839569287834
root_relative_squared_error
0.9377562945072249
root_relative_squared_error
0.9558189516016553
root_relative_squared_error
0.952253033502221
root_relative_squared_error
0.9501482344982938
root_relative_squared_error
0.942200782135733
root_relative_squared_error
0.9511179483639997
root_relative_squared_error
0.955972673462053
root_relative_squared_error
0.9597117002670794
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
0.5602700018352783 [0.97836,0.14218]
unweighted_recall
0.5501300888490646 [0.981777,0.118483]
unweighted_recall
0.5582862818339829 [0.98861,0.127962]
unweighted_recall
0.543021084109728 [0.981777,0.104265]
unweighted_recall
0.5413126558637144 [0.97836,0.104265]
unweighted_recall
0.5325035253281267 [0.984055,0.080952]
unweighted_recall
0.5407853346349929 [0.986333,0.095238]
unweighted_recall
0.5575550493545938 [0.981777,0.133333]
unweighted_recall
0.5379379542249701 [0.980638,0.095238]
unweighted_recall
0.5230914308256821 [0.970353,0.075829]
usercpu_time_millis
143.17313604988158
usercpu_time_millis
87.94193802168593
usercpu_time_millis
89.02261103503406
usercpu_time_millis
97.91011601919308
usercpu_time_millis
88.49714999087155
usercpu_time_millis
86.51558303972706
usercpu_time_millis
89.39159795409068
usercpu_time_millis
90.61071305768564
usercpu_time_millis
90.87019605794922
usercpu_time_millis
86.52903605252504
usercpu_time_millis_testing
1.925701042637229
usercpu_time_millis_testing
1.0328380158171058
usercpu_time_millis_testing
1.1328569962643087
usercpu_time_millis_testing
1.0043170186690986
usercpu_time_millis_testing
1.170873991213739
usercpu_time_millis_testing
1.087071024812758
usercpu_time_millis_testing
1.1086969752795994
usercpu_time_millis_testing
1.172308053355664
usercpu_time_millis_testing
1.094999024644494
usercpu_time_millis_testing
1.0415580472908914
usercpu_time_millis_training
141.24743500724435
usercpu_time_millis_training
86.90910000586882
usercpu_time_millis_training
87.88975403876975
usercpu_time_millis_training
96.90579900052398
usercpu_time_millis_training
87.32627599965781
usercpu_time_millis_training
85.4285120149143
usercpu_time_millis_training
88.28290097881109
usercpu_time_millis_training
89.43840500432998
usercpu_time_millis_training
89.77519703330472
usercpu_time_millis_training
85.48747800523415
wall_clock_time_millis
143.2340145111084
wall_clock_time_millis
87.9521369934082
wall_clock_time_millis
89.02907371520996
wall_clock_time_millis
97.9166030883789
wall_clock_time_millis
88.50884437561035
wall_clock_time_millis
86.52520179748535
wall_clock_time_millis
89.4002914428711
wall_clock_time_millis
90.62027931213379
wall_clock_time_millis
90.87586402893066
wall_clock_time_millis
86.55905723571777
wall_clock_time_millis_testing
1.9345283508300781
wall_clock_time_millis_testing
1.0383129119873047
wall_clock_time_millis_testing
1.1374950408935547
wall_clock_time_millis_testing
1.0082721710205078
wall_clock_time_millis_testing
1.177072525024414
wall_clock_time_millis_testing
1.0941028594970703
wall_clock_time_millis_testing
1.1129379272460938
wall_clock_time_millis_testing
1.1775493621826172
wall_clock_time_millis_testing
1.1019706726074219
wall_clock_time_millis_testing
1.0466575622558594
wall_clock_time_millis_training
141.29948616027832
wall_clock_time_millis_training
86.9138240814209
wall_clock_time_millis_training
87.8915786743164
wall_clock_time_millis_training
96.9083309173584
wall_clock_time_millis_training
87.33177185058594
wall_clock_time_millis_training
85.43109893798828
wall_clock_time_millis_training
88.287353515625
wall_clock_time_millis_training
89.44272994995117
wall_clock_time_millis_training
89.77389335632324
wall_clock_time_millis_training
85.51239967346191
weighted_recall
0.8163452708907254 [0.97836,0.14218]
weighted_recall
0.8145087235996327 [0.981777,0.118483]
weighted_recall
0.8218549127640037 [0.98861,0.127962]
weighted_recall
0.8117539026629935 [0.981777,0.104265]
weighted_recall
0.8089990817263545 [0.97836,0.104265]
weighted_recall
0.8097426470588235 [0.984055,0.080952]
weighted_recall
0.8143382352941176 [0.986333,0.095238]
weighted_recall
0.8180147058823529 [0.981777,0.133333]
weighted_recall
0.8097426470588235 [0.980638,0.095238]
weighted_recall
0.796875 [0.970353,0.075829]