10558907
8323
Heinrich Peters
125922
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275905
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
C
1
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
10000
17462
multi_class
"auto"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"lbfgs"
17462
tol
0.0001
17462
verbose
0
17462
warm_start
false
17462
memory
null
18591
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"}}]
18591
verbose
false
18591
openml-python
Sklearn_0.21.2.
40499
texture
https://www.openml.org/data/download/4535764/phpBDgUyY
-1
22042778
description
https://api.openml.org/data/download/22042778/description.xml
-1
22042779
predictions
https://api.openml.org/data/download/22042779/predictions.arff
area_under_roc_curve
0.9999572727272728 [0.99978,1,0.999996,0.99999,0.999952,0.999984,0.999992,0.999996,1,0.999853,0.999987]
average_cost
0
f_measure
0.9945493698492633 [0.98709,1,0.997996,0.996008,0.991984,0.993988,0.996997,0.995984,1,0.985972,0.994024]
kappa
0.994
kb_relative_information_score
0.9852445469888635
mean_absolute_error
0.005330299567466345
mean_prior_absolute_error
0.1652892561983287
weighted_recall
0.9945454545454545 [0.994,1,0.996,0.998,0.99,0.992,0.996,0.992,1,0.984,0.998]
number_of_instances
5500 [500,500,500,500,500,500,500,500,500,500,500]
precision
0.9945715492867669 [0.980276,1,1,0.994024,0.993976,0.995984,0.997996,1,1,0.987952,0.990079]
predictive_accuracy
0.9945454545454545
prior_entropy
3.4594316186375305
relative_absolute_error
0.03224831238317497
root_mean_prior_squared_error
0.2874797872880185
root_mean_squared_error
0.03338937007164109
root_relative_squared_error
0.1161451049711163
total_cost
0
unweighted_recall
0.9945454545454546 [0.994,1,0.996,0.998,0.99,0.992,0.996,0.992,1,0.984,0.998]
area_under_roc_curve
0.9999454545454546 [0.9998,1,1,1,0.99984,1,0.99992,1,1,0.99984,1]
area_under_roc_curve
0.9997527272727273 [0.99844,1,1,1,1,1,1,1,1,0.99884,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1,1,1,1]
area_under_roc_curve
0.9999963636363637 [1,1,1,1,1,0.99996,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1,1,1,1]
area_under_roc_curve
0.9999963636363637 [1,1,1,1,1,1,1,1,1,0.99996,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1,1,1,1]
area_under_roc_curve
0.9999927272727273 [1,1,1,1,0.99992,1,1,1,1,1,1]
area_under_roc_curve
0.9999818181818182 [0.99984,1,1,1,1,1,1,1,1,0.99996,1]
area_under_roc_curve
0.9999127272727273 [0.99956,1,1,1,0.99988,0.99984,1,1,1,0.99988,0.99988]
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
0.9945450908727236 [0.990099,1,1,1,0.989899,0.989899,0.990099,1,1,0.98,1]
f_measure
0.9891069320835827 [0.960784,1,1,0.990099,0.989899,1,1,0.989899,1,0.949495,1]
f_measure
0.9963632726909054 [1,1,0.989899,0.990099,0.990099,1,0.989899,1,1,1,1]
f_measure
0.9927072702904909 [0.980392,1,1,1,0.990099,0.979592,1,1,1,0.969697,1]
f_measure
0.9963621812361307 [1,1,1,1,1,1,1,0.979592,1,1,0.980392]
f_measure
0.9963632726909054 [0.990099,1,1,1,0.989899,1,1,0.989899,1,0.990099,1]
f_measure
0.9981816363454528 [1,1,0.989899,0.990099,1,1,1,1,1,1,1]
f_measure
0.9945450908727236 [0.990099,1,1,1,0.98,1,0.989899,1,1,0.989899,0.990099]
f_measure
0.9981816363454528 [0.990099,1,1,1,1,1,1,1,1,0.989899,1]
f_measure
0.9891080017092618 [0.969697,1,1,0.989899,0.989899,0.970297,1,1,1,0.990099,0.970297]
kappa
0.994
kappa
0.988
kappa
0.996
kappa
0.992
kappa
0.996
kappa
0.996
kappa
0.998
kappa
0.994
kappa
0.998
kappa
0.988
kb_relative_information_score
0.9848060566921203
kb_relative_information_score
0.9828405407716849
kb_relative_information_score
0.9867596839905662
kb_relative_information_score
0.9846289686572302
kb_relative_information_score
0.9855625492757984
kb_relative_information_score
0.9860958070599897
kb_relative_information_score
0.9856725672503801
kb_relative_information_score
0.9871798451675656
kb_relative_information_score
0.9860474709911965
kb_relative_information_score
0.9828519800326864
mean_absolute_error
0.00533715264511693
mean_absolute_error
0.005881096477659989
mean_absolute_error
0.004993500616031251
mean_absolute_error
0.005706844015139192
mean_absolute_error
0.00521672980781513
mean_absolute_error
0.005275808159285477
mean_absolute_error
0.005169358998094161
mean_absolute_error
0.004785627781771182
mean_absolute_error
0.00531413854702233
mean_absolute_error
0.0056227386267276745
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
mean_prior_absolute_error
0.16528925619834828
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
number_of_instances
550 [50,50,50,50,50,50,50,50,50,50,50]
precision
0.9946167557932263 [0.980392,1,1,1,1,1,0.980392,1,1,0.98,1]
precision
0.9892621384218023 [0.942308,1,1,0.980392,1,1,1,1,1,0.959184,1]
precision
0.9964349376114081 [1,1,1,0.980392,0.980392,1,1,1,1,1,1]
precision
0.9928656777396273 [0.961538,1,1,1,0.980392,1,1,1,1,0.979592,1]
precision
0.9965034965034966 [1,1,1,1,1,1,1,1,1,1,0.961538]
precision
0.9964349376114081 [0.980392,1,1,1,1,1,1,1,1,0.980392,1]
precision
0.9982174688057041 [1,1,1,0.980392,1,1,1,1,1,1,1]
precision
0.9946167557932263 [0.980392,1,1,1,0.98,1,1,1,1,1,0.980392]
precision
0.9982174688057041 [0.980392,1,1,1,1,1,1,1,1,1,1]
precision
0.9892320564589473 [0.979592,1,1,1,1,0.960784,1,1,1,0.980392,0.960784]
predictive_accuracy
0.9945454545454545
predictive_accuracy
0.989090909090909
predictive_accuracy
0.9963636363636365
predictive_accuracy
0.9927272727272727
predictive_accuracy
0.9963636363636365
predictive_accuracy
0.9963636363636365
predictive_accuracy
0.9981818181818182
predictive_accuracy
0.9945454545454545
predictive_accuracy
0.9981818181818182
predictive_accuracy
0.989090909090909
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
prior_entropy
3.459431618637332
relative_absolute_error
0.0322897735029572
relative_absolute_error
0.03558063368984268
relative_absolute_error
0.030210678726988852
relative_absolute_error
0.034526406291591864
relative_absolute_error
0.03156121533728131
relative_absolute_error
0.03191863936367691
relative_absolute_error
0.03127462193846946
relative_absolute_error
0.028953048079715448
relative_absolute_error
0.03215053820948487
relative_absolute_error
0.034017568691702194
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_prior_squared_error
0.2874797872880355
root_mean_squared_error
0.03505670708865748
root_mean_squared_error
0.03866043654179185
root_mean_squared_error
0.03010157482447937
root_mean_squared_error
0.03409861967900143
root_mean_squared_error
0.032531290992064324
root_mean_squared_error
0.031032803020404794
root_mean_squared_error
0.031925464069506554
root_mean_squared_error
0.029313729588850597
root_mean_squared_error
0.02970856249836933
root_mean_squared_error
0.039668994949286655
root_relative_squared_error
0.12194494583208038
root_relative_squared_error
0.1344805382893117
root_relative_squared_error
0.10470849136367144
root_relative_squared_error
0.11861223357883208
root_relative_squared_error
0.1131602722367056
root_relative_squared_error
0.1079477736962147
root_relative_squared_error
0.11105289999925932
root_relative_squared_error
0.10196796743654259
root_relative_squared_error
0.10334139585473999
root_relative_squared_error
0.1379888141824071
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
0.9945454545454546 [1,1,1,1,0.98,0.98,1,1,1,0.98,1]
unweighted_recall
0.989090909090909 [0.98,1,1,1,0.98,1,1,0.98,1,0.94,1]
unweighted_recall
0.9963636363636365 [1,1,0.98,1,1,1,0.98,1,1,1,1]
unweighted_recall
0.9927272727272729 [1,1,1,1,1,0.96,1,1,1,0.96,1]
unweighted_recall
0.9963636363636365 [1,1,1,1,1,1,1,0.96,1,1,1]
unweighted_recall
0.9963636363636365 [1,1,1,1,0.98,1,1,0.98,1,1,1]
unweighted_recall
0.9981818181818182 [1,1,0.98,1,1,1,1,1,1,1,1]
unweighted_recall
0.9945454545454546 [1,1,1,1,0.98,1,0.98,1,1,0.98,1]
unweighted_recall
0.9981818181818182 [1,1,1,1,1,1,1,1,1,0.98,1]
unweighted_recall
0.9890909090909091 [0.96,1,1,0.98,0.98,0.98,1,1,1,1,0.98]
usercpu_time_millis
2655.6339999988268
usercpu_time_millis
2733.987999999954
usercpu_time_millis
2677.7060000022175
usercpu_time_millis
2819.8060000031546
usercpu_time_millis
2705.5639999998675
usercpu_time_millis
2834.654000002047
usercpu_time_millis
2943.9019999990705
usercpu_time_millis
2965.4040000023087
usercpu_time_millis
2998.4960000001593
usercpu_time_millis
3095.155999995768
usercpu_time_millis_testing
2.3819999987608753
usercpu_time_millis_testing
2.294000001711538
usercpu_time_millis_testing
2.8620000011869706
usercpu_time_millis_testing
2.2620000017923303
usercpu_time_millis_testing
2.3019999971438665
usercpu_time_millis_testing
2.9080000022077
usercpu_time_millis_testing
2.3419999997713603
usercpu_time_millis_testing
2.4680000024090987
usercpu_time_millis_testing
2.5040000000444707
usercpu_time_millis_testing
3.7439999978232663
usercpu_time_millis_training
2653.252000000066
usercpu_time_millis_training
2731.6939999982424
usercpu_time_millis_training
2674.8440000010305
usercpu_time_millis_training
2817.5440000013623
usercpu_time_millis_training
2703.2620000027237
usercpu_time_millis_training
2831.745999999839
usercpu_time_millis_training
2941.559999999299
usercpu_time_millis_training
2962.9359999998996
usercpu_time_millis_training
2995.992000000115
usercpu_time_millis_training
3091.411999997945
wall_clock_time_millis
923.1822490692139
wall_clock_time_millis
862.7381324768066
wall_clock_time_millis
877.7322769165039
wall_clock_time_millis
939.112663269043
wall_clock_time_millis
822.4160671234131
wall_clock_time_millis
886.6949081420898
wall_clock_time_millis
900.0518321990967
wall_clock_time_millis
917.1552658081055
wall_clock_time_millis
932.9864978790283
wall_clock_time_millis
969.5918560028076
wall_clock_time_millis_testing
0.8080005645751953
wall_clock_time_millis_testing
0.5960464477539062
wall_clock_time_millis_testing
0.8230209350585938
wall_clock_time_millis_testing
0.5817413330078125
wall_clock_time_millis_testing
0.5860328674316406
wall_clock_time_millis_testing
1.132965087890625
wall_clock_time_millis_testing
0.5900859832763672
wall_clock_time_millis_testing
0.6241798400878906
wall_clock_time_millis_testing
0.9071826934814453
wall_clock_time_millis_testing
1.3608932495117188
wall_clock_time_millis_training
922.3742485046387
wall_clock_time_millis_training
862.1420860290527
wall_clock_time_millis_training
876.9092559814453
wall_clock_time_millis_training
938.5309219360352
wall_clock_time_millis_training
821.8300342559814
wall_clock_time_millis_training
885.5619430541992
wall_clock_time_millis_training
899.4617462158203
wall_clock_time_millis_training
916.5310859680176
wall_clock_time_millis_training
932.0793151855469
wall_clock_time_millis_training
968.2309627532959
weighted_recall
0.9945454545454545 [1,1,1,1,0.98,0.98,1,1,1,0.98,1]
weighted_recall
0.9890909090909091 [0.98,1,1,1,0.98,1,1,0.98,1,0.94,1]
weighted_recall
0.9963636363636363 [1,1,0.98,1,1,1,0.98,1,1,1,1]
weighted_recall
0.9927272727272727 [1,1,1,1,1,0.96,1,1,1,0.96,1]
weighted_recall
0.9963636363636363 [1,1,1,1,1,1,1,0.96,1,1,1]
weighted_recall
0.9963636363636363 [1,1,1,1,0.98,1,1,0.98,1,1,1]
weighted_recall
0.9981818181818182 [1,1,0.98,1,1,1,1,1,1,1,1]
weighted_recall
0.9945454545454545 [1,1,1,1,0.98,1,0.98,1,1,0.98,1]
weighted_recall
0.9981818181818182 [1,1,1,1,1,1,1,1,1,0.98,1]
weighted_recall
0.9890909090909091 [0.96,1,1,0.98,0.98,0.98,1,1,1,1,0.98]