10558915
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)
8275912
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
224.662208931
17462
class_weight
null
17462
dual
true
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
785
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"liblinear"
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
22042794
description
https://api.openml.org/data/download/22042794/description.xml
-1
22042795
predictions
https://api.openml.org/data/download/22042795/predictions.arff
area_under_roc_curve
0.9999647636363637 [0.999811,1,1,1,0.999958,1,0.999985,1,1,0.999859,1]
average_cost
0
f_measure
0.997454355636152 [0.98998,1,1,1,0.994995,1,0.997003,1,1,0.99002,1]
kappa
0.9972
kb_relative_information_score
0.9930576167258411
mean_absolute_error
0.002322167655986303
mean_prior_absolute_error
0.1652892561983287
weighted_recall
0.9974545454545455 [0.988,1,1,1,0.994,1,0.998,1,1,0.992,1]
number_of_instances
5500 [500,500,500,500,500,500,500,500,500,500,500]
precision
0.9974559680227961 [0.991968,1,1,1,0.995992,1,0.996008,1,1,0.988048,1]
predictive_accuracy
0.9974545454545455
prior_entropy
3.4594316186375305
relative_absolute_error
0.014049114318718697
root_mean_prior_squared_error
0.2874797872880185
root_mean_squared_error
0.02663155577538149
root_relative_squared_error
0.09263801127242394
total_cost
0
unweighted_recall
0.9974545454545456 [0.988,1,1,1,0.994,1,0.998,1,1,0.992,1]
area_under_roc_curve
0.9998836363636364 [0.99984,1,1,1,0.99928,1,0.99972,1,1,0.99988,1]
area_under_roc_curve
0.9999163636363635 [0.99932,1,1,1,0.99996,1,1,1,1,0.9998,1]
area_under_roc_curve
0.9999927272727273 [1,1,1,1,0.99996,1,1,1,1,0.99996,1]
area_under_roc_curve
0.9999454545454546 [0.99972,1,1,1,1,1,1,1,1,0.99968,1]
area_under_roc_curve
0.9999636363636364 [0.99976,1,1,1,1,1,1,1,1,0.99984,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1,1,1,1]
area_under_roc_curve
0.9999163636363635 [0.99932,1,1,1,1,1,1,1,1,0.99976,1]
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
0.9927265453818108 [0.990099,1,1,1,0.969697,1,0.970297,1,1,0.989899,1]
f_measure
0.9909252957381299 [0.949495,1,1,1,0.989899,1,1,1,1,0.960784,1]
f_measure
0.9981816363454528 [1,1,1,1,0.990099,1,1,1,1,0.989899,1]
f_measure
0.9981816363454528 [0.990099,1,1,1,1,1,1,1,1,0.989899,1]
f_measure
0.9981816363454528 [0.989899,1,1,1,1,1,1,1,1,0.990099,1]
f_measure
1 [1,1,1,1,1,1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1,1,1,1,1,1]
f_measure
0.9963621812361307 [0.979592,1,1,1,1,1,1,1,1,0.980392,1]
kappa
0.992
kappa
0.9900000000000001
kappa
0.998
kappa
0.998
kappa
0.998
kappa
1
kappa
1
kappa
1
kappa
1
kappa
0.996
kb_relative_information_score
0.9884427855315123
kb_relative_information_score
0.9892951445249138
kb_relative_information_score
0.9941109858238287
kb_relative_information_score
0.9919592445585244
kb_relative_information_score
0.9924616000353526
kb_relative_information_score
0.9970178545349019
kb_relative_information_score
0.9948111706038135
kb_relative_information_score
0.9951425579683253
kb_relative_information_score
0.9958078327849872
kb_relative_information_score
0.9915269908928285
mean_absolute_error
0.003516624383815632
mean_absolute_error
0.003038292134058677
mean_absolute_error
0.002039430765454005
mean_absolute_error
0.002681843898446514
mean_absolute_error
0.002478197977316125
mean_absolute_error
0.0012135725787323374
mean_absolute_error
0.00194897260419848
mean_absolute_error
0.00188199586941234
mean_absolute_error
0.0016290905745200972
mean_absolute_error
0.0027936557739088345
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
0.992797118847539 [0.980392,1,1,1,0.979592,1,0.960784,1,1,1,1]
precision
0.9910446696160983 [0.959184,1,1,1,1,1,1,1,1,0.942308,1]
precision
0.9982174688057041 [1,1,1,1,0.980392,1,1,1,1,1,1]
precision
0.9982174688057041 [0.980392,1,1,1,1,1,1,1,1,1,1]
precision
0.9982174688057041 [1,1,1,1,1,1,1,1,1,0.980392,1]
precision
1 [1,1,1,1,1,1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1,1,1,1,1,1]
precision
0.9965034965034966 [1,1,1,1,1,1,1,1,1,0.961538,1]
predictive_accuracy
0.9927272727272727
predictive_accuracy
0.990909090909091
predictive_accuracy
0.9981818181818182
predictive_accuracy
0.9981818181818182
predictive_accuracy
0.9981818181818182
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9963636363636365
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
0.02127557752208442
relative_absolute_error
0.018381667411054868
relative_absolute_error
0.012338556130996643
relative_absolute_error
0.016225155585601295
relative_absolute_error
0.014993097762762449
relative_absolute_error
0.007342114101330589
relative_absolute_error
0.01179128425540072
relative_absolute_error
0.011386075009944575
relative_absolute_error
0.009855997975846518
relative_absolute_error
0.01690161743214833
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
0.03810514119692965
root_mean_squared_error
0.037164434476525426
root_mean_squared_error
0.024158283740783652
root_mean_squared_error
0.027792264805393617
root_mean_squared_error
0.027279526624731903
root_mean_squared_error
0.01207196433653334
root_mean_squared_error
0.02126376024577695
root_mean_squared_error
0.01921038102389992
root_mean_squared_error
0.017485410327954
root_mean_squared_error
0.029771417319958457
root_relative_squared_error
0.13254894041907317
root_relative_squared_error
0.1292766869876982
root_relative_squared_error
0.08403472107963773
root_relative_squared_error
0.0966755439315378
root_relative_squared_error
0.09489198138789368
root_relative_squared_error
0.041992393449345494
root_relative_squared_error
0.07396610539603636
root_relative_squared_error
0.06682341463072115
root_relative_squared_error
0.060823094704862815
root_relative_squared_error
0.10356003669269968
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
0.9927272727272727 [1,1,1,1,0.96,1,0.98,1,1,0.98,1]
unweighted_recall
0.990909090909091 [0.94,1,1,1,0.98,1,1,1,1,0.98,1]
unweighted_recall
0.9981818181818182 [1,1,1,1,1,1,1,1,1,0.98,1]
unweighted_recall
0.9981818181818182 [1,1,1,1,1,1,1,1,1,0.98,1]
unweighted_recall
0.9981818181818182 [0.98,1,1,1,1,1,1,1,1,1,1]
unweighted_recall
1 [1,1,1,1,1,1,1,1,1,1,1]
unweighted_recall
1 [1,1,1,1,1,1,1,1,1,1,1]
unweighted_recall
1 [1,1,1,1,1,1,1,1,1,1,1]
unweighted_recall
1 [1,1,1,1,1,1,1,1,1,1,1]
unweighted_recall
0.9963636363636365 [0.96,1,1,1,1,1,1,1,1,1,1]
usercpu_time_millis
22814.344000002166
usercpu_time_millis
21447.08200000241
usercpu_time_millis
19844.052000000374
usercpu_time_millis
19478.377999999793
usercpu_time_millis
18769.318000002386
usercpu_time_millis
17506.643999997323
usercpu_time_millis
17724.208000003273
usercpu_time_millis
17898.462000004656
usercpu_time_millis
17394.501999999193
usercpu_time_millis
18200.075999997352
usercpu_time_millis_testing
2.952000002551358
usercpu_time_millis_testing
2.2040000003471505
usercpu_time_millis_testing
2.096000000165077
usercpu_time_millis_testing
2.510000002075685
usercpu_time_millis_testing
2.1159999996598344
usercpu_time_millis_testing
1.9619999984570313
usercpu_time_millis_testing
2.4740000008023344
usercpu_time_millis_testing
1.9860000029439107
usercpu_time_millis_testing
1.9339999998919666
usercpu_time_millis_testing
2.0579999982146546
usercpu_time_millis_training
22811.391999999614
usercpu_time_millis_training
21444.878000002063
usercpu_time_millis_training
19841.95600000021
usercpu_time_millis_training
19475.867999997718
usercpu_time_millis_training
18767.202000002726
usercpu_time_millis_training
17504.681999998866
usercpu_time_millis_training
17721.73400000247
usercpu_time_millis_training
17896.476000001712
usercpu_time_millis_training
17392.5679999993
usercpu_time_millis_training
18198.017999999138
wall_clock_time_millis
20195.57809829712
wall_clock_time_millis
16088.970184326172
wall_clock_time_millis
12243.786096572876
wall_clock_time_millis
11986.114978790283
wall_clock_time_millis
12329.418897628784
wall_clock_time_millis
11184.152126312256
wall_clock_time_millis
11446.261882781982
wall_clock_time_millis
11565.891027450562
wall_clock_time_millis
11024.747133255005
wall_clock_time_millis
11817.139863967896
wall_clock_time_millis_testing
1.5361309051513672
wall_clock_time_millis_testing
1.0521411895751953
wall_clock_time_millis_testing
0.9982585906982422
wall_clock_time_millis_testing
1.2738704681396484
wall_clock_time_millis_testing
1.0209083557128906
wall_clock_time_millis_testing
0.9431838989257812
wall_clock_time_millis_testing
1.2028217315673828
wall_clock_time_millis_testing
1.0018348693847656
wall_clock_time_millis_testing
0.9431838989257812
wall_clock_time_millis_testing
0.9789466857910156
wall_clock_time_millis_training
20194.041967391968
wall_clock_time_millis_training
16087.918043136597
wall_clock_time_millis_training
12242.787837982178
wall_clock_time_millis_training
11984.841108322144
wall_clock_time_millis_training
12328.397989273071
wall_clock_time_millis_training
11183.20894241333
wall_clock_time_millis_training
11445.059061050415
wall_clock_time_millis_training
11564.889192581177
wall_clock_time_millis_training
11023.80394935608
wall_clock_time_millis_training
11816.160917282104
weighted_recall
0.9927272727272727 [1,1,1,1,0.96,1,0.98,1,1,0.98,1]
weighted_recall
0.990909090909091 [0.94,1,1,1,0.98,1,1,1,1,0.98,1]
weighted_recall
0.9981818181818182 [1,1,1,1,1,1,1,1,1,0.98,1]
weighted_recall
0.9981818181818182 [1,1,1,1,1,1,1,1,1,0.98,1]
weighted_recall
0.9981818181818182 [0.98,1,1,1,1,1,1,1,1,1,1]
weighted_recall
1 [1,1,1,1,1,1,1,1,1,1,1]
weighted_recall
1 [1,1,1,1,1,1,1,1,1,1,1]
weighted_recall
1 [1,1,1,1,1,1,1,1,1,1,1]
weighted_recall
1 [1,1,1,1,1,1,1,1,1,1,1]
weighted_recall
0.9963636363636363 [0.96,1,1,1,1,1,1,1,1,1,1]