10558876
8323
Heinrich Peters
14970
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275575
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
0.01
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
"warn"
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.
1478
har
https://www.openml.org/data/download/1589271/php88ZB4Q
-1
22042716
description
https://api.openml.org/data/download/22042716/description.xml
-1
22042717
predictions
https://api.openml.org/data/download/22042717/predictions.arff
area_under_roc_curve
0.9984972620416259 [0.99991,0.999704,0.999942,0.995581,0.996367,0.999998]
average_cost
0
f_measure
0.9721013847551596 [0.992743,0.99095,0.991806,0.929339,0.936894,0.998203]
kappa
0.9664764230757059
kb_relative_information_score
0.935838472475997
mean_absolute_error
0.03064945740137699
mean_prior_absolute_error
0.27709458719152297
weighted_recall
0.9721332168171667 [0.993031,0.992876,0.990043,0.925155,0.938615,1]
number_of_instances
10299 [1722,1544,1406,1777,1906,1944]
precision
0.9720804983065734 [0.992455,0.989032,0.993576,0.93356,0.93518,0.996412]
predictive_accuracy
0.9721332168171668
prior_entropy
2.575922879508845
relative_absolute_error
0.11061009062653619
root_mean_prior_squared_error
0.3722191487615371
root_mean_squared_error
0.09434011462603305
root_relative_squared_error
0.2534531469966695
total_cost
0
unweighted_recall
0.9732865560544682 [0.993031,0.992876,0.990043,0.925155,0.938615,1]
area_under_roc_curve
0.9992674004143247 [1,1,0.999992,0.997903,0.998009,1]
area_under_roc_curve
0.9986982048099382 [0.999986,0.999993,1,0.996129,0.99663,0.999975]
area_under_roc_curve
0.9979720355061371 [0.999648,0.998606,0.999936,0.9952,0.995033,1]
area_under_roc_curve
0.9986203508921 [0.999986,0.999875,1,0.995971,0.99641,1]
area_under_roc_curve
0.9977341613128489 [0.999865,0.999325,0.999968,0.992397,0.995533,1]
area_under_roc_curve
0.9990409226019563 [0.999919,0.999733,0.99988,0.997349,0.997663,1]
area_under_roc_curve
0.9986555859549343 [0.999973,0.999896,0.999992,0.996209,0.996378,1]
area_under_roc_curve
0.9986280494180841 [0.999966,0.999993,0.999992,0.995887,0.996456,1]
area_under_roc_curve
0.9983704907489168 [0.999912,0.999956,0.999928,0.995244,0.995794,0.999994]
area_under_roc_curve
0.9980065506224403 [0.999939,0.999837,0.999896,0.993475,0.99557,1]
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
0.9785977293921935 [0.997085,1,0.996441,0.940171,0.948187,0.997429]
f_measure
0.9688464826590399 [0.994186,0.990415,0.98917,0.920455,0.932292,0.994872]
f_measure
0.9689281662870876 [0.991354,0.986928,0.996441,0.922222,0.925926,1]
f_measure
0.969863634512853 [0.994186,0.996764,0.996466,0.916427,0.92545,1]
f_measure
0.9708522344741604 [0.991254,0.974684,0.989247,0.932203,0.944591,0.997429]
f_measure
0.977670731239153 [0.988304,0.993506,0.986014,0.949153,0.95288,1]
f_measure
0.9757012487064749 [0.99422,0.990291,0.989247,0.941176,0.94709,0.997442]
f_measure
0.9718524688835704 [0.991304,0.996764,0.992857,0.927778,0.930851,1]
f_measure
0.9679035722725992 [0.991304,0.990291,0.992857,0.916905,0.927461,0.997442]
f_measure
0.9708113068028964 [0.99422,0.990164,0.989324,0.926554,0.934383,0.997442]
kappa
0.9743041365123932
kappa
0.9626213586727861
kappa
0.9626264023603422
kappa
0.9637939167430173
kappa
0.9649666219206908
kappa
0.9731423557181046
kappa
0.9707997577797384
kappa
0.9661308684195009
kappa
0.9614523581086138
kappa
0.9649236433051541
kb_relative_information_score
0.9423531569005661
kb_relative_information_score
0.9379793950429993
kb_relative_information_score
0.9314788579866122
kb_relative_information_score
0.9366867756315296
kb_relative_information_score
0.9279887736813731
kb_relative_information_score
0.9397403254873717
kb_relative_information_score
0.9392275951889603
kb_relative_information_score
0.9348717558338225
kb_relative_information_score
0.9352625470332732
kb_relative_information_score
0.9327923956510794
mean_absolute_error
0.02842142353963818
mean_absolute_error
0.02958647709422035
mean_absolute_error
0.032120450171235215
mean_absolute_error
0.030473802321343144
mean_absolute_error
0.03386449679695532
mean_absolute_error
0.029234006789271235
mean_absolute_error
0.02902924819534893
mean_absolute_error
0.03139755334235981
mean_absolute_error
0.030657578894340974
mean_absolute_error
0.03171056707262125
mean_prior_absolute_error
0.27709199511972005
mean_prior_absolute_error
0.27709199511972005
mean_prior_absolute_error
0.27709199511972005
mean_prior_absolute_error
0.2771076974290587
mean_prior_absolute_error
0.27710210740693414
mean_prior_absolute_error
0.27710210740693414
mean_prior_absolute_error
0.27709513558158777
mean_prior_absolute_error
0.2770910843857784
mean_prior_absolute_error
0.2770910843857784
mean_prior_absolute_error
0.27708065643484137
number_of_instances
1030 [172,155,140,178,191,194]
number_of_instances
1030 [172,155,140,178,191,194]
number_of_instances
1030 [172,155,140,178,191,194]
number_of_instances
1030 [172,155,141,178,190,194]
number_of_instances
1030 [173,154,141,178,190,194]
number_of_instances
1030 [173,154,141,178,190,194]
number_of_instances
1030 [172,154,141,178,190,195]
number_of_instances
1030 [172,154,141,177,191,195]
number_of_instances
1030 [172,154,141,177,191,195]
number_of_instances
1029 [172,154,140,177,191,195]
precision
0.9786671459971177 [1,1,0.992908,0.953757,0.938462,0.994872]
precision
0.9688801804270132 [0.994186,0.981013,1,0.931034,0.927461,0.989796]
precision
0.9690810530385241 [0.982857,1,0.992908,0.912088,0.935829,1]
precision
0.9702269848128495 [0.994186,1,0.992958,0.940828,0.904523,1]
precision
0.9710895921171002 [1,0.950617,1,0.9375,0.94709,0.994872]
precision
0.9777899052459648 [1,0.993506,0.972414,0.954545,0.947917,1]
precision
0.9757346617528985 [0.988506,0.987097,1,0.938547,0.952128,0.994898]
precision
0.9720565807244222 [0.988439,0.993548,1,0.912568,0.945946,1]
precision
0.9679698387176381 [0.988439,0.987097,1,0.930233,0.917949,0.994898]
precision
0.9708251866365304 [0.988506,1,0.985816,0.926554,0.936842,0.994898]
predictive_accuracy
0.9786407766990292
predictive_accuracy
0.9689320388349515
predictive_accuracy
0.9689320388349515
predictive_accuracy
0.9699029126213593
predictive_accuracy
0.970873786407767
predictive_accuracy
0.9776699029126213
predictive_accuracy
0.9757281553398058
predictive_accuracy
0.9718446601941747
predictive_accuracy
0.9679611650485437
predictive_accuracy
0.9708454810495627
prior_entropy
2.5758425283766972
prior_entropy
2.5758425283766972
prior_entropy
2.5758425283766972
prior_entropy
2.57626843373114
prior_entropy
2.5761156998831467
prior_entropy
2.5761156998831467
prior_entropy
2.575945945073779
prior_entropy
2.575847838744184
prior_entropy
2.575847838744184
prior_entropy
2.5755594010061413
relative_absolute_error
0.10257035223034304
relative_absolute_error
0.10677492535082889
relative_absolute_error
0.11591980546878408
relative_absolute_error
0.10997097014652445
relative_absolute_error
0.12220945237065312
relative_absolute_error
0.1054990417172832
relative_absolute_error
0.10476274920676681
relative_absolute_error
0.11331130848889658
relative_absolute_error
0.11064079871894451
relative_absolute_error
0.1144452574951884
root_mean_prior_squared_error
0.37221566682901186
root_mean_prior_squared_error
0.37221566682901186
root_mean_prior_squared_error
0.37221566682901186
root_mean_prior_squared_error
0.3722367592572026
root_mean_prior_squared_error
0.3722292504897755
root_mean_prior_squared_error
0.3722292504897755
root_mean_prior_squared_error
0.3722198854102689
root_mean_prior_squared_error
0.37221444343150406
root_mean_prior_squared_error
0.37221444343150406
root_mean_prior_squared_error
0.3722004351798735
root_mean_squared_error
0.08491981699101042
root_mean_squared_error
0.09326957158144426
root_mean_squared_error
0.09979027216894858
root_mean_squared_error
0.09309247464772676
root_mean_squared_error
0.10227236842188575
root_mean_squared_error
0.08930439315437735
root_mean_squared_error
0.0912415187721096
root_mean_squared_error
0.09520973709333273
root_mean_squared_error
0.09546075457071541
root_mean_squared_error
0.09761511479046406
root_relative_squared_error
0.22814680992463657
root_relative_squared_error
0.2505793815075773
root_relative_squared_error
0.2680979901224581
root_relative_squared_error
0.2500894184483352
root_relative_squared_error
0.27475639887869313
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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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
0.9798779203154222 [0.994186,1,1,0.926966,0.958115,1]
unweighted_recall
0.970007101583788 [0.994186,1,0.978571,0.910112,0.937173,1]
unweighted_recall
0.9705013640903607 [1,0.974194,1,0.932584,0.91623,1]
unweighted_recall
0.9713935469378877 [0.994186,0.993548,1,0.893258,0.947368,1]
unweighted_recall
0.971742319847603 [0.982659,1,0.978723,0.926966,0.942105,1]
unweighted_recall
0.9786833446307438 [0.976879,0.993506,1,0.94382,0.957895,1]
unweighted_recall
0.9763592309398014 [1,0.993506,0.978723,0.94382,0.942105,1]
unweighted_recall
0.9732891401165684 [0.994186,1,0.985816,0.943503,0.91623,1]
unweighted_recall
0.9691059533306663 [0.994186,0.993506,0.985816,0.903955,0.937173,1]
unweighted_recall
0.9719779114113128 [1,0.980519,0.992857,0.926554,0.931937,1]
usercpu_time_millis
11826.195999999982
usercpu_time_millis
11858.132000001206
usercpu_time_millis
11527.910000000702
usercpu_time_millis
11781.247999999323
usercpu_time_millis
9391.558000001169
usercpu_time_millis
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usercpu_time_millis
11036.802000000534
usercpu_time_millis
10036.98600000098
usercpu_time_millis
8863.413999999466
usercpu_time_millis
8901.496000000407
usercpu_time_millis_testing
29.613999999128282
usercpu_time_millis_testing
32.25600000041595
usercpu_time_millis_testing
36.34600000077626
usercpu_time_millis_testing
31.30599999894912
usercpu_time_millis_testing
41.07600000133971
usercpu_time_millis_testing
38.350000000718865
usercpu_time_millis_testing
41.016000001036446
usercpu_time_millis_testing
39.724000000205706
usercpu_time_millis_testing
40.415999999822816
usercpu_time_millis_testing
38.44600000047649
usercpu_time_millis_training
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usercpu_time_millis_training
11825.87600000079
usercpu_time_millis_training
11491.563999999926
usercpu_time_millis_training
11749.942000000374
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
10995.785999999498
usercpu_time_millis_training
9997.262000000774
usercpu_time_millis_training
8822.997999999643
usercpu_time_millis_training
8863.04999999993
wall_clock_time_millis
11249.68695640564
wall_clock_time_millis
11322.983980178833
wall_clock_time_millis
12995.258808135986
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
4973.501920700073
wall_clock_time_millis
5261.616230010986
wall_clock_time_millis
3296.705484390259
wall_clock_time_millis
2812.922239303589
wall_clock_time_millis
2905.008554458618
wall_clock_time_millis_testing
22.20892906188965
wall_clock_time_millis_testing
30.601978302001953
wall_clock_time_millis_testing
25.601863861083984
wall_clock_time_millis_testing
18.91922950744629
wall_clock_time_millis_testing
13.086318969726562
wall_clock_time_millis_testing
27.601003646850586
wall_clock_time_millis_testing
11.326313018798828
wall_clock_time_millis_testing
11.385202407836914
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
10.724782943725586
wall_clock_time_millis_training
11227.47802734375
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
3285.320281982422
wall_clock_time_millis_training
2801.706075668335
wall_clock_time_millis_training
2894.2837715148926
weighted_recall
0.9786407766990292 [0.994186,1,1,0.926966,0.958115,1]
weighted_recall
0.9689320388349515 [0.994186,1,0.978571,0.910112,0.937173,1]
weighted_recall
0.9689320388349515 [1,0.974194,1,0.932584,0.91623,1]
weighted_recall
0.9699029126213592 [0.994186,0.993548,1,0.893258,0.947368,1]
weighted_recall
0.970873786407767 [0.982659,1,0.978723,0.926966,0.942105,1]
weighted_recall
0.9776699029126213 [0.976879,0.993506,1,0.94382,0.957895,1]
weighted_recall
0.9757281553398058 [1,0.993506,0.978723,0.94382,0.942105,1]
weighted_recall
0.9718446601941747 [0.994186,1,0.985816,0.943503,0.91623,1]
weighted_recall
0.9679611650485437 [0.994186,0.993506,0.985816,0.903955,0.937173,1]
weighted_recall
0.9708454810495627 [1,0.980519,0.992857,0.926554,0.931937,1]