10559249
8323
Heinrich Peters
32
Supervised Classification
17494
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4)
8270376
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
memory
null
17494
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": "svc", "step_name": "svc"}}]
17494
verbose
false
17494
C
0.04554492916694445
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.33190972541700026
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
0.13666030899153944
17495
kernel
"rbf"
17495
max_iter
-1
17495
probability
true
17495
random_state
1
17495
shrinking
true
17495
tol
0.001
17495
verbose
false
17495
openml-python
Sklearn_0.21.2.
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
22043463
description
https://api.openml.org/data/download/22043463/description.xml
-1
22043464
predictions
https://api.openml.org/data/download/22043464/predictions.arff
area_under_roc_curve
0.9996169028958252 [0.999978,0.998966,0.999527,0.998481,0.999978,0.999901,0.999556,0.999934,0.999946,0.99988]
average_cost
0
f_measure
0.984703069446617 [0.994301,0.955026,0.972222,0.983003,0.992573,0.98673,0.99858,0.988646,0.989573,0.988101]
kappa
0.9830149260480019
kb_relative_information_score
0.9801351111467115
mean_absolute_error
0.005987438720836205
mean_prior_absolute_error
0.17996797657803554
weighted_recall
0.9847161572052402 [0.992126,0.947507,0.979021,0.98673,0.993007,0.98673,0.999053,0.991243,0.989573,0.983886]
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9847209116667021 [0.996485,0.962667,0.965517,0.979304,0.99214,0.98673,0.998108,0.986063,0.989573,0.992352]
predictive_accuracy
0.9847161572052401
prior_entropy
3.320771739846944
relative_absolute_error
0.03326946735015385
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.04877636599175286
root_relative_squared_error
0.16260236455313565
total_cost
0
unweighted_recall
0.9848876412116813 [0.992126,0.947507,0.979021,0.98673,0.993007,0.98673,0.999053,0.991243,0.989573,0.983886]
area_under_roc_curve
0.9999356954260518 [0.999982,0.999786,0.999912,0.999866,0.999991,0.999962,1,0.999982,0.999934,0.999943]
area_under_roc_curve
0.9995745569108275 [0.999894,0.998496,0.998535,0.999703,0.999964,0.999943,1,0.999795,0.999905,0.999611]
area_under_roc_curve
0.9990818628556377 [0.999991,0.999136,0.999169,0.99291,0.999991,0.999856,1,0.99992,0.999828,0.999753]
area_under_roc_curve
0.9992519086977448 [1,0.997976,0.999377,0.998936,0.999973,0.999534,0.996819,0.99985,0.999971,1]
area_under_roc_curve
0.9999344971724233 [1,0.999602,0.999938,0.999962,0.999991,0.999895,1,0.999991,0.99999,0.99999]
area_under_roc_curve
0.9999242873268109 [0.999947,0.999673,0.999733,0.999962,1,1,1,1,0.999952,1]
area_under_roc_curve
0.9999141354477592 [1,0.999466,0.999777,0.999971,1,0.99999,1,0.999982,0.99999,0.99999]
area_under_roc_curve
0.9996909193627875 [1,0.998014,0.999617,0.999971,0.999911,0.999943,1,0.999893,0.99999,0.999645]
area_under_roc_curve
0.999396615093105 [1,0.998753,0.999644,0.995497,1,1,1,0.999982,0.99999,1]
area_under_roc_curve
0.999737883675583 [0.999991,0.998459,0.999505,0.999866,0.999955,1,1,0.999893,0.99999,0.999791]
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
0.9899859082056636 [0.995671,0.982301,0.987124,0.985646,0.991228,0.985646,1,0.995633,0.990566,0.985782]
f_measure
0.972709250708679 [0.982301,0.923767,0.940678,0.990476,0.991228,0.980952,1,0.973913,0.981308,0.966825]
f_measure
0.9863382234653534 [0.995633,0.977578,0.987124,0.976526,0.995595,0.971154,1,0.991379,0.976303,0.990566]
f_measure
0.9800053004395246 [1,0.935065,0.968889,0.971698,0.987013,0.986047,0.995215,0.978355,0.995215,0.985507]
f_measure
0.9890972265594156 [1,0.973684,0.982759,0.986047,0.991228,0.976526,1,0.995595,0.995215,0.990385]
f_measure
0.9918166547803876 [0.9869,0.978541,0.982301,0.990476,0.995671,1,1,1,0.985646,1]
f_measure
0.9872688066276261 [0.995595,0.947368,0.973913,0.990566,0.995671,0.995261,1,0.986667,0.995261,0.995261]
f_measure
0.9853901440317712 [0.995633,0.955357,0.973913,0.985915,0.991228,0.990566,1,0.987013,0.990566,0.985507]
f_measure
0.9873038725859442 [0.995595,0.956522,0.969432,0.985782,1,0.990385,0.995305,0.995595,0.995261,0.990654]
f_measure
0.9770974058066442 [0.995595,0.918919,0.956522,0.967136,0.9869,0.990566,0.995305,0.982609,0.990566,0.990476]
kappa
0.9888865825230948
kappa
0.9696916817442897
kappa
0.9848317832338989
kappa
0.9777528726748081
kappa
0.9878655717341799
kappa
0.9908988605862971
kappa
0.9858434014848511
kappa
0.9838208814049628
kappa
0.9858433884594081
kappa
0.9747210110491493
kb_relative_information_score
0.9837566247618507
kb_relative_information_score
0.9707333438585397
kb_relative_information_score
0.9804378715856107
kb_relative_information_score
0.9765654664129287
kb_relative_information_score
0.9830407505797578
kb_relative_information_score
0.9846809287289245
kb_relative_information_score
0.9838760544195361
kb_relative_information_score
0.9799848555709858
kb_relative_information_score
0.981905785417673
kb_relative_information_score
0.9763745790052725
mean_absolute_error
0.0053413163127216555
mean_absolute_error
0.007916114076376496
mean_absolute_error
0.005722479366625476
mean_absolute_error
0.006584424853908404
mean_absolute_error
0.005610085508783638
mean_absolute_error
0.004865680161885072
mean_absolute_error
0.005740937744191627
mean_absolute_error
0.005923808473344356
mean_absolute_error
0.005512822058319043
mean_absolute_error
0.006655551634055682
mean_prior_absolute_error
0.17996798929120086
mean_prior_absolute_error
0.17996798929120086
mean_prior_absolute_error
0.17996580653132724
mean_prior_absolute_error
0.17996580653132724
mean_prior_absolute_error
0.17996724559468558
mean_prior_absolute_error
0.17996724559468558
mean_prior_absolute_error
0.1799686846580439
mean_prior_absolute_error
0.1799701568033185
mean_prior_absolute_error
0.1799701568033185
mean_prior_absolute_error
0.1799686846580439
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1099 [115,114,115,105,114,105,105,115,105,106]
number_of_instances
1099 [114,115,114,105,115,106,105,115,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,114,114,106,115,106,106,114,105,105]
number_of_instances
1099 [114,114,114,106,114,106,106,114,106,105]
number_of_instances
1099 [114,114,114,106,114,105,106,114,106,106]
number_of_instances
1099 [114,114,115,105,114,105,106,114,106,106]
precision
0.9900427052787799 [0.991379,0.991071,0.974576,0.990385,0.991228,0.990385,1,0.991304,0.990566,0.990476]
precision
0.9730150800500205 [1,0.944954,0.917355,0.990476,0.991228,0.980952,1,0.965517,0.972222,0.971429]
precision
0.9865432550200872 [1,1,0.974576,0.962963,1,0.980583,1,0.982906,0.971698,0.990566]
precision
0.9801777525695566 [1,0.931034,0.981982,0.962617,0.982759,0.972477,1,0.974138,1,1]
precision
0.9892727945229913 [1,0.982301,0.966102,0.972477,1,0.971963,1,1,1,1]
precision
0.9919019421126339 [0.982609,0.966102,0.991071,1,0.991379,1,1,1,0.990385,1]
precision
0.9873489118575295 [1,0.947368,0.965517,0.990566,0.991379,1,1,1,0.990566,0.990566]
precision
0.9854997133084918 [0.991304,0.972727,0.965517,0.981308,0.991228,0.990566,1,0.974359,0.990566,1]
precision
0.9874204639731241 [1,0.948276,0.965217,0.990476,1,1,0.990654,1,1,0.981481]
precision
0.9771805277250201 [1,0.944444,0.956522,0.953704,0.982609,0.981308,0.990654,0.974138,0.990566,1]
predictive_accuracy
0.99
predictive_accuracy
0.9727272727272727
predictive_accuracy
0.986351228389445
predictive_accuracy
0.9799818016378526
predictive_accuracy
0.989080982711556
predictive_accuracy
0.991810737033667
predictive_accuracy
0.9872611464968153
predictive_accuracy
0.9854413102820746
predictive_accuracy
0.9872611464968153
predictive_accuracy
0.9772520473157416
prior_entropy
3.3207726565016804
prior_entropy
3.3207726565016804
prior_entropy
3.320615093773185
prior_entropy
3.320615093773185
prior_entropy
3.3207190205874304
prior_entropy
3.3207190205874304
prior_entropy
3.320822852867135
prior_entropy
3.3209290746720725
prior_entropy
3.3209290746720725
prior_entropy
3.3208228528671353
relative_absolute_error
0.029679257593299164
relative_absolute_error
0.04398623392723284
relative_absolute_error
0.031797592425588606
relative_absolute_error
0.03658708829647721
relative_absolute_error
0.03117281419874831
relative_absolute_error
0.027036476253258585
relative_absolute_error
0.03189964829214542
relative_absolute_error
0.032915504317853256
relative_absolute_error
0.030631867839865056
relative_absolute_error
0.03698172071825611
root_mean_prior_squared_error
0.29997330956058954
root_mean_prior_squared_error
0.29997330956058954
root_mean_prior_squared_error
0.29996967128171426
root_mean_prior_squared_error
0.29996967128171426
root_mean_prior_squared_error
0.29997206995355086
root_mean_prior_squared_error
0.29997206995355086
root_mean_prior_squared_error
0.2999744686062071
root_mean_prior_squared_error
0.29997692238045737
root_mean_prior_squared_error
0.29997692238045737
root_mean_prior_squared_error
0.2999744686062071
root_mean_squared_error
0.04235268342698205
root_mean_squared_error
0.062409794308954235
root_mean_squared_error
0.048942130752061754
root_mean_squared_error
0.055798760877557425
root_mean_squared_error
0.04328355869088698
root_mean_squared_error
0.04000609065020127
root_mean_squared_error
0.04133466359560489
root_mean_squared_error
0.04896712025121619
root_mean_squared_error
0.04618289020349902
root_mean_squared_error
0.05366357871137217
root_relative_squared_error
0.14118817267116732
root_relative_squared_error
0.20805115761923648
root_relative_squared_error
0.16315693030879153
root_relative_squared_error
0.18601467488076298
root_relative_squared_error
0.14429196257367968
root_relative_squared_error
0.133366051900752
root_relative_squared_error
0.13779393888973654
root_relative_squared_error
0.16323629118746588
root_relative_squared_error
0.15395481038013245
root_relative_squared_error
0.17889382039982638
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
0.9898515155814064 [1,0.973684,1,0.980952,0.991228,0.980952,1,1,0.990566,0.981132]
unweighted_recall
0.9731886525172653 [0.965217,0.903509,0.965217,0.990476,0.991228,0.980952,1,0.982456,0.990566,0.962264]
unweighted_recall
0.98625721399479 [0.991304,0.95614,1,0.990476,0.991228,0.961905,1,1,0.980952,0.990566]
unweighted_recall
0.9802517162471396 [1,0.93913,0.95614,0.980952,0.991304,1,0.990476,0.982609,0.990476,0.971429]
unweighted_recall
0.9891614804032229 [1,0.965217,1,1,0.982609,0.981132,1,0.991228,0.990476,0.980952]
unweighted_recall
0.991830108495192 [0.991228,0.991304,0.973684,0.981132,1,1,1,1,0.980952,1]
unweighted_recall
0.9875868917576962 [0.991228,0.947368,0.982456,0.990566,1,0.990566,1,0.973684,1,1]
unweighted_recall
0.9855407386390505 [1,0.938596,0.982456,0.990566,0.991228,0.990566,1,1,0.990566,0.971429]
unweighted_recall
0.9873703125738876 [0.991228,0.964912,0.973684,0.981132,1,0.980952,1,0.991228,0.990566,1]
unweighted_recall
0.9777593285921942 [0.991228,0.894737,0.956522,0.980952,0.991228,1,1,0.991228,0.990566,0.981132]
usercpu_time_millis
11639.397999999801
usercpu_time_millis
11616.834000000154
usercpu_time_millis
12285.256000000118
usercpu_time_millis
11722.755999999663
usercpu_time_millis
11681.760000000168
usercpu_time_millis
11736.066000000164
usercpu_time_millis
11867.52999999976
usercpu_time_millis
11762.648000000127
usercpu_time_millis
11793.95599999998
usercpu_time_millis
11604.531999999836
usercpu_time_millis_testing
284.7159999998894
usercpu_time_millis_testing
267.11199999999735
usercpu_time_millis_testing
285.65200000002733
usercpu_time_millis_testing
273.3859999998458
usercpu_time_millis_testing
267.99000000005435
usercpu_time_millis_testing
278.0800000000454
usercpu_time_millis_testing
269.2299999998795
usercpu_time_millis_testing
276.21399999998175
usercpu_time_millis_testing
274.8579999999947
usercpu_time_millis_testing
266.96399999991627
usercpu_time_millis_training
11354.681999999912
usercpu_time_millis_training
11349.722000000156
usercpu_time_millis_training
11999.60400000009
usercpu_time_millis_training
11449.369999999817
usercpu_time_millis_training
11413.770000000113
usercpu_time_millis_training
11457.986000000119
usercpu_time_millis_training
11598.299999999881
usercpu_time_millis_training
11486.434000000145
usercpu_time_millis_training
11519.097999999985
usercpu_time_millis_training
11337.56799999992
wall_clock_time_millis
5872.561454772949
wall_clock_time_millis
5847.5611209869385
wall_clock_time_millis
6287.029266357422
wall_clock_time_millis
5916.908979415894
wall_clock_time_millis
5869.513273239136
wall_clock_time_millis
5923.436880111694
wall_clock_time_millis
5993.495225906372
wall_clock_time_millis
5951.351881027222
wall_clock_time_millis
5951.165199279785
wall_clock_time_millis
5824.170112609863
wall_clock_time_millis_testing
143.2192325592041
wall_clock_time_millis_testing
133.87608528137207
wall_clock_time_millis_testing
146.23212814331055
wall_clock_time_millis_testing
137.71891593933105
wall_clock_time_millis_testing
134.23418998718262
wall_clock_time_millis_testing
143.30506324768066
wall_clock_time_millis_testing
135.57004928588867
wall_clock_time_millis_testing
139.1301155090332
wall_clock_time_millis_testing
137.8490924835205
wall_clock_time_millis_testing
133.81409645080566
wall_clock_time_millis_training
5729.342222213745
wall_clock_time_millis_training
5713.685035705566
wall_clock_time_millis_training
6140.797138214111
wall_clock_time_millis_training
5779.1900634765625
wall_clock_time_millis_training
5735.279083251953
wall_clock_time_millis_training
5780.131816864014
wall_clock_time_millis_training
5857.925176620483
wall_clock_time_millis_training
5812.2217655181885
wall_clock_time_millis_training
5813.316106796265
wall_clock_time_millis_training
5690.356016159058
weighted_recall
0.99 [1,0.973684,1,0.980952,0.991228,0.980952,1,1,0.990566,0.981132]
weighted_recall
0.9727272727272728 [0.965217,0.903509,0.965217,0.990476,0.991228,0.980952,1,0.982456,0.990566,0.962264]
weighted_recall
0.986351228389445 [0.991304,0.95614,1,0.990476,0.991228,0.961905,1,1,0.980952,0.990566]
weighted_recall
0.9799818016378526 [1,0.93913,0.95614,0.980952,0.991304,1,0.990476,0.982609,0.990476,0.971429]
weighted_recall
0.989080982711556 [1,0.965217,1,1,0.982609,0.981132,1,0.991228,0.990476,0.980952]
weighted_recall
0.991810737033667 [0.991228,0.991304,0.973684,0.981132,1,1,1,1,0.980952,1]
weighted_recall
0.9872611464968153 [0.991228,0.947368,0.982456,0.990566,1,0.990566,1,0.973684,1,1]
weighted_recall
0.9854413102820746 [1,0.938596,0.982456,0.990566,0.991228,0.990566,1,1,0.990566,0.971429]
weighted_recall
0.9872611464968153 [0.991228,0.964912,0.973684,0.981132,1,0.980952,1,0.991228,0.990566,1]
weighted_recall
0.9772520473157416 [0.991228,0.894737,0.956522,0.980952,0.991228,1,1,0.991228,0.990566,0.981132]