10547103
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)
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.
1053
jm1
https://www.openml.org/data/download/53936/jm1.arff
-1
22019161
description
https://api.openml.org/data/download/22019161/description.xml
-1
22019162
predictions
https://api.openml.org/data/download/22019162/predictions.arff
area_under_roc_curve
0.7133482549816984 [0.713348,0.713348]
average_cost
0
f_measure
0.7572647220225339 [0.894024,0.187176]
kappa
0.1330695426099086
kb_relative_information_score
0.05217873095722713
mean_absolute_error
0.27943593016678014
mean_prior_absolute_error
0.31212214303703906
weighted_recall
0.8124942581534221 [0.980636,0.111586]
number_of_instances
10885 [8779,2106]
precision
0.7747983866726041 [0.821469,0.580247]
predictive_accuracy
0.8124942581534222
prior_entropy
0.7086892261862012
relative_absolute_error
0.8952774944058356
root_mean_prior_squared_error
0.3950238150239175
root_mean_squared_error
0.37432446702988176
root_relative_squared_error
0.9475997466310164
total_cost
0
unweighted_recall
0.5461107763097359 [0.980636,0.111586]
area_under_roc_curve
0.7127708385062993 [0.712771,0.712771]
area_under_roc_curve
0.7430610284036316 [0.743061,0.743061]
area_under_roc_curve
0.715488669855013 [0.715489,0.715489]
area_under_roc_curve
0.6954274579235444 [0.695427,0.695427]
area_under_roc_curve
0.7158476287123903 [0.715848,0.715848]
area_under_roc_curve
0.7290785334634994 [0.729079,0.729079]
area_under_roc_curve
0.7105136131901508 [0.710514,0.710514]
area_under_roc_curve
0.6890253823625121 [0.689025,0.689025]
area_under_roc_curve
0.7086723071916694 [0.708672,0.708672]
area_under_roc_curve
0.7193577847790021 [0.719358,0.719358]
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
0.7651858976886216 [0.895258,0.223938]
f_measure
0.761883109105531 [0.895584,0.205534]
f_measure
0.7691536266756134 [0.899948,0.2249]
f_measure
0.75480048429275 [0.893727,0.176707]
f_measure
0.7565360686334202 [0.892931,0.188976]
f_measure
0.7467385303453642 [0.891878,0.139918]
f_measure
0.757649136816819 [0.895909,0.179592]
f_measure
0.7668607843455316 [0.8963,0.225681]
f_measure
0.7552428110439253 [0.893617,0.176707]
f_measure
0.7379585252580063 [0.885075,0.126482]
kappa
0.16389159456826907
kappa
0.1509117780544857
kappa
0.17618030377266003
kappa
0.12495835374816222
kappa
0.13203590497562476
kappa
0.09233446695725758
kappa
0.13170809179703027
kappa
0.16686419677076778
kappa
0.12372511118444805
kappa
0.06636638968703888
kb_relative_information_score
0.05272907571201307
kb_relative_information_score
0.06886375052865167
kb_relative_information_score
0.07175659382097054
kb_relative_information_score
0.05105670424473484
kb_relative_information_score
0.043763103967245705
kb_relative_information_score
0.05225515296324248
kb_relative_information_score
0.07062089901259555
kb_relative_information_score
0.043051242825160305
kb_relative_information_score
0.035390407743215134
kb_relative_information_score
0.03226968868479902
mean_absolute_error
0.277633367565018
mean_absolute_error
0.2773330354591597
mean_absolute_error
0.2760992562443763
mean_absolute_error
0.2804533812418065
mean_absolute_error
0.28115980274524566
mean_absolute_error
0.27902640813400287
mean_absolute_error
0.2765702702255912
mean_absolute_error
0.27988304479561843
mean_absolute_error
0.282727671374777
mean_absolute_error
0.28347720065388404
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
0.7823478100364398 [0.825168,0.604167]
precision
0.7837287021970533 [0.823305,0.619048]
precision
0.8086284889420658 [0.82588,0.736842]
precision
0.7734327509752145 [0.820171,0.578947]
precision
0.7702496406670972 [0.821224,0.55814]
precision
0.7587885229490331 [0.817062,0.515152]
precision
0.7842316770012848 [0.821462,0.628571]
precision
0.785767910236018 [0.826129,0.617021]
precision
0.7712388495399627 [0.820782,0.564103]
precision
0.7296752651825549 [0.813576,0.380952]
predictive_accuracy
0.815426997245179
predictive_accuracy
0.815426997245179
predictive_accuracy
0.82277318640955
predictive_accuracy
0.8117539026629936
predictive_accuracy
0.8108356290174471
predictive_accuracy
0.807904411764706
predictive_accuracy
0.8152573529411765
predictive_accuracy
0.817095588235294
predictive_accuracy
0.8115808823529411
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
0.8890161421550837
relative_absolute_error
0.8880544418650317
relative_absolute_error
0.8841037292852802
relative_absolute_error
0.8980461723051016
relative_absolute_error
0.9003082207225197
relative_absolute_error
0.8947782088497993
relative_absolute_error
0.8869018981698396
relative_absolute_error
0.8975252600082954
relative_absolute_error
0.9066473710384585
relative_absolute_error
0.9074116516179612
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
0.37141921725682703
root_mean_squared_error
0.3695298159702632
root_mean_squared_error
0.3705111863426249
root_mean_squared_error
0.3772761873452598
root_mean_squared_error
0.3766001394228107
root_mean_squared_error
0.3749914712438232
root_mean_squared_error
0.37131070637308633
root_mean_squared_error
0.3756893237786209
root_mean_squared_error
0.3765777373325552
root_mean_squared_error
0.3792107413533327
root_relative_squared_error
0.9397313078813143
root_relative_squared_error
0.9349509156462308
root_relative_squared_error
0.937433890195439
root_relative_squared_error
0.9545500838242371
root_relative_squared_error
0.9528396085207628
root_relative_squared_error
0.9501518209773877
root_relative_squared_error
0.940825514347213
root_relative_squared_error
0.9519200368104369
root_relative_squared_error
0.9541710953565199
root_relative_squared_error
0.9591096904968979
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
0.5579003335888328 [0.97836,0.137441]
unweighted_recall
0.55249975709551 [0.981777,0.123223]
unweighted_recall
0.5606559500804283 [0.98861,0.132701]
unweighted_recall
0.543021084109728 [0.981777,0.104265]
unweighted_recall
0.5460519923566054 [0.97836,0.113744]
unweighted_recall
0.5313645731641176 [0.981777,0.080952]
unweighted_recall
0.5449777633148931 [0.985194,0.104762]
unweighted_recall
0.5587970495715371 [0.979499,0.138095]
unweighted_recall
0.5426998589868749 [0.980638,0.104762]
unweighted_recall
0.5230914308256821 [0.970353,0.075829]
usercpu_time_millis
133.22894100565463
usercpu_time_millis
100.40357004618272
usercpu_time_millis
88.62662297906354
usercpu_time_millis
91.22097300132737
usercpu_time_millis
102.19771298579872
usercpu_time_millis
112.29438800364733
usercpu_time_millis
92.30625996133313
usercpu_time_millis
110.21526396507397
usercpu_time_millis
96.24705399619415
usercpu_time_millis
93.96374406060204
usercpu_time_millis_testing
1.3762679882347584
usercpu_time_millis_testing
0.9928810177370906
usercpu_time_millis_testing
0.9920279844664037
usercpu_time_millis_testing
1.0094589670188725
usercpu_time_millis_testing
1.1217379942536354
usercpu_time_millis_testing
0.9906179620884359
usercpu_time_millis_testing
1.0432580020278692
usercpu_time_millis_testing
1.0356699931435287
usercpu_time_millis_testing
1.0641099652275443
usercpu_time_millis_testing
1.0545520344749093
usercpu_time_millis_training
131.85267301741987
usercpu_time_millis_training
99.41068902844563
usercpu_time_millis_training
87.63459499459714
usercpu_time_millis_training
90.2115140343085
usercpu_time_millis_training
101.07597499154508
usercpu_time_millis_training
111.30377004155889
usercpu_time_millis_training
91.26300195930526
usercpu_time_millis_training
109.17959397193044
usercpu_time_millis_training
95.18294403096661
usercpu_time_millis_training
92.90919202612713
wall_clock_time_millis
133.27980041503906
wall_clock_time_millis
100.41356086730957
wall_clock_time_millis
88.63329887390137
wall_clock_time_millis
91.22657775878906
wall_clock_time_millis
102.2181510925293
wall_clock_time_millis
112.29848861694336
wall_clock_time_millis
92.33736991882324
wall_clock_time_millis
110.22186279296875
wall_clock_time_millis
96.25697135925293
wall_clock_time_millis
93.97125244140625
wall_clock_time_millis_testing
1.3842582702636719
wall_clock_time_millis_testing
0.9980201721191406
wall_clock_time_millis_testing
0.9987354278564453
wall_clock_time_millis_testing
1.0137557983398438
wall_clock_time_millis_testing
1.1303424835205078
wall_clock_time_millis_testing
0.995635986328125
wall_clock_time_millis_testing
1.0499954223632812
wall_clock_time_millis_testing
1.041412353515625
wall_clock_time_millis_testing
1.0714530944824219
wall_clock_time_millis_testing
1.0578632354736328
wall_clock_time_millis_training
131.8955421447754
wall_clock_time_millis_training
99.41554069519043
wall_clock_time_millis_training
87.63456344604492
wall_clock_time_millis_training
90.21282196044922
wall_clock_time_millis_training
101.08780860900879
wall_clock_time_millis_training
111.30285263061523
wall_clock_time_millis_training
91.28737449645996
wall_clock_time_millis_training
109.18045043945312
wall_clock_time_millis_training
95.18551826477051
wall_clock_time_millis_training
92.91338920593262
weighted_recall
0.8154269972451791 [0.97836,0.137441]
weighted_recall
0.8154269972451791 [0.981777,0.123223]
weighted_recall
0.82277318640955 [0.98861,0.132701]
weighted_recall
0.8117539026629935 [0.981777,0.104265]
weighted_recall
0.8108356290174472 [0.97836,0.113744]
weighted_recall
0.8079044117647058 [0.981777,0.080952]
weighted_recall
0.8152573529411765 [0.985194,0.104762]
weighted_recall
0.8170955882352942 [0.979499,0.138095]
weighted_recall
0.8115808823529411 [0.980638,0.104762]
weighted_recall
0.796875 [0.970353,0.075829]