10363377
8323
Heinrich Peters
32
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8218824
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
7062.385681297137
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.4212472624657243
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
39492
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
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"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
21648456
description
https://api.openml.org/data/download/21648456/description.xml
-1
21648457
predictions
https://api.openml.org/data/download/21648457/predictions.arff
area_under_roc_curve
0.9967698061767479 [0.996063,0.995606,0.995813,0.995433,0.998587,0.995533,0.998479,0.997068,0.99727,0.997903]
average_cost
0
f_measure
0.9941864912000954 [0.996047,0.992126,0.99387,0.992881,0.997814,0.993824,0.997631,0.994746,0.986404,0.996209]
kappa
0.9935295700290531
kb_relative_information_score
0.9939181179229152
mean_absolute_error
0.0011644832605531283
mean_prior_absolute_error
0.17996797657803554
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.994222833308094 [1,0.992126,0.995614,0.994297,0.99825,0.99619,0.998104,0.994746,0.975881,0.996209]
predictive_accuracy
0.9941775836972343
prior_entropy
3.320771739846944
recall
0.9941775836972343 [0.992126,0.992126,0.992133,0.991469,0.997378,0.991469,0.997159,0.994746,0.997156,0.996209]
relative_absolute_error
0.006470502601045799
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.03412452579235539
root_relative_squared_error
0.11375854822865715
total_cost
0
area_under_roc_curve
0.9974818392655873 [1,0.999493,0.995652,0.994233,1,0.990476,1,0.995614,0.999497,0.999497]
area_under_roc_curve
0.9949534845062863 [0.986957,0.999493,0.990797,0.994736,0.995614,0.995238,0.995283,0.998986,0.993271,0.999497]
area_under_roc_curve
0.9964727481386737 [1,1,0.999492,0.995238,1,0.989973,1,0.991304,0.993729,0.994276]
area_under_roc_curve
0.9969614527615388 [0.995614,0.995144,0.999492,0.995238,1,0.999496,0.995238,0.994636,0.994735,1]
area_under_roc_curve
0.9984863495694983 [1,0.991304,1,1,1,0.995283,1,0.999492,0.998994,1]
area_under_roc_curve
0.9959600126487809 [0.991228,0.998476,0.986842,0.994779,1,1,0.995238,0.995614,0.997988,1]
area_under_roc_curve
0.9969813847840315 [0.995614,0.991228,1,1,1,0.990566,0.999496,0.995614,0.997485,1]
area_under_roc_curve
0.9959554444563724 [1,0.99072,0.995106,0.995283,0.99072,0.999496,1,0.999492,0.998489,0.990476]
area_under_roc_curve
0.9974782870959663 [0.995614,0.999492,0.995614,0.990063,1,0.995238,0.999496,1,0.998993,1]
area_under_roc_curve
0.9969670806022904 [0.995614,0.99072,0.995144,0.994735,0.999492,0.999497,1,1,0.999496,0.995283]
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
0.995454532556939 [1,0.995633,0.995633,0.985782,1,0.990385,1,0.995595,0.995305,0.995305]
f_measure
0.9909225195765959 [0.986784,0.995633,0.9869,0.990476,0.995595,0.995215,0.995261,0.991304,0.976744,0.995305]
f_measure
0.9936394298201994 [1,1,0.995671,0.995215,1,0.985646,1,0.991228,0.981132,0.985915]
f_measure
0.9945441646936126 [0.995595,0.991304,0.995633,0.995215,1,0.995305,0.995215,0.987013,0.990476,1]
f_measure
0.9972706785899061 [1,0.991228,1,1,1,0.995261,1,0.995633,0.990566,1]
f_measure
0.9927418124996356 [0.99115,0.987124,0.986667,0.990566,1,1,0.995215,0.995595,0.981308,1]
f_measure
0.9945748028201407 [0.995595,0.99115,1,1,1,0.990476,0.995305,0.995595,0.976744,1]
f_measure
0.992720891851337 [1,0.986784,0.991228,0.995261,0.986784,0.995305,1,0.995633,0.986047,0.990385]
f_measure
0.9954503821499234 [0.995595,0.995633,0.995595,0.985782,1,0.995215,0.995305,1,0.990654,1]
f_measure
0.9945365971349105 [0.995595,0.986784,0.991304,0.990476,0.995633,0.995261,1,1,0.995305,0.995261]
kappa
0.9949486229027601
kappa
0.9898973478701314
kappa
0.992921466276901
kappa
0.993932573724198
kappa
0.9969664013072906
kappa
0.9919104928048287
kappa
0.9939330426517958
kappa
0.9919106267792113
kappa
0.994944146388814
kappa
0.9939328863506506
kb_relative_information_score
0.9952289314768763
kb_relative_information_score
0.990515318592179
kb_relative_information_score
0.9932909943718432
kb_relative_information_score
0.994286143408986
kb_relative_information_score
0.9971572111821864
kb_relative_information_score
0.9924389271782882
kb_relative_information_score
0.994314294536786
kb_relative_information_score
0.9924112494397562
kb_relative_information_score
0.9952251207094633
kb_relative_information_score
0.9943149054281355
mean_absolute_error
0.0009090909090909091
mean_absolute_error
0.001818181818181818
mean_absolute_error
0.0012738853503184713
mean_absolute_error
0.001091901728844404
mean_absolute_error
0.0005459508644222021
mean_absolute_error
0.0014558689717925385
mean_absolute_error
0.001091901728844404
mean_absolute_error
0.0014558689717925385
mean_absolute_error
0.0009099181073703367
mean_absolute_error
0.001091901728844404
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
0.9954965956049885 [1,0.991304,1,0.981132,1,1,1,1,0.990654,0.990654]
precision
0.9910489491077109 [1,0.991304,0.991228,0.990476,1,1,1,0.982759,0.963303,0.990654]
precision
0.9936976994178162 [1,1,0.991379,1,1,0.990385,1,1,0.971963,0.981308]
precision
0.9945725958379225 [1,0.991304,0.991304,1,1,0.990654,1,0.982759,0.990476,1]
precision
0.9973121736394395 [1,1,1,1,1,1,1,0.991304,0.981308,1]
precision
0.9929236216353651 [1,0.974576,1,0.990566,1,1,1,1,0.963303,1]
precision
0.9947557948331803 [1,1,1,1,1,1,0.990654,1,0.954545,1]
precision
0.9927960974875902 [1,0.99115,0.991228,1,0.99115,0.990654,1,0.991304,0.972477,1]
precision
0.9954918604859686 [1,0.991304,1,0.990476,1,1,0.990654,1,0.981481,1]
precision
0.9945574393551488 [1,0.99115,0.991304,0.990476,0.991304,0.990566,1,1,0.990654,1]
predictive_accuracy
0.9954545454545455
predictive_accuracy
0.990909090909091
predictive_accuracy
0.9936305732484076
predictive_accuracy
0.994540491355778
predictive_accuracy
0.997270245677889
predictive_accuracy
0.9927206551410372
predictive_accuracy
0.994540491355778
predictive_accuracy
0.9927206551410372
predictive_accuracy
0.9954504094631482
predictive_accuracy
0.994540491355778
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
recall
0.9954545454545455 [1,1,0.991304,0.990476,1,0.980952,1,0.991228,1,1]
recall
0.990909090909091 [0.973913,1,0.982609,0.990476,0.991228,0.990476,0.990566,1,0.990566,1]
recall
0.9936305732484076 [1,1,1,0.990476,1,0.980952,1,0.982609,0.990476,0.990566]
recall
0.9945404913557779 [0.991228,0.991304,1,0.990476,1,1,0.990476,0.991304,0.990476,1]
recall
0.997270245677889 [1,0.982609,1,1,1,0.990566,1,1,1,1]
recall
0.9927206551410374 [0.982456,1,0.973684,0.990566,1,1,0.990476,0.991228,1,1]
recall
0.9945404913557779 [0.991228,0.982456,1,1,1,0.981132,1,0.991228,1,1]
recall
0.9927206551410374 [1,0.982456,0.991228,0.990566,0.982456,1,1,1,1,0.980952]
recall
0.9954504094631483 [0.991228,1,0.991228,0.981132,1,0.990476,1,1,1,1]
recall
0.9945404913557779 [0.991228,0.982456,0.991304,0.990476,1,1,1,1,1,0.990566]
relative_absolute_error
0.005051403378297105
relative_absolute_error
0.010102806756594206
relative_absolute_error
0.007078485490501897
relative_absolute_error
0.006067273277573055
relative_absolute_error
0.0030336123810649914
relative_absolute_error
0.008089633016173306
relative_absolute_error
0.006067176247462784
relative_absolute_error
0.008089502157758267
relative_absolute_error
0.005055938848598918
relative_absolute_error
0.006067176247462784
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
0.03015113445777636
root_mean_squared_error
0.04264014327112208
root_mean_squared_error
0.03569153051241248
root_mean_squared_error
0.03304393634003679
root_mean_squared_error
0.023365591463136604
root_mean_squared_error
0.038155851082010195
root_mean_squared_error
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root_mean_squared_error
0.038155851082010195
root_mean_squared_error
0.030164848870338084
root_mean_squared_error
0.03304393634003679
root_relative_squared_error
0.10051272395515022
root_relative_squared_error
0.1421464574084365
root_relative_squared_error
0.11898379712825385
root_relative_squared_error
0.11015759092859702
root_relative_squared_error
0.07789255668620963
root_relative_squared_error
0.12719801242801848
root_relative_squared_error
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root_relative_squared_error
0.12719595487288038
root_relative_squared_error
0.10055723163957374
root_relative_squared_error
0.110155829239639
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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usercpu_time_millis
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