10363385
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)
8218831
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
82.60048604501297
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.490328497576602
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
32247
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
21648472
description
https://api.openml.org/data/download/21648472/description.xml
-1
21648473
predictions
https://api.openml.org/data/download/21648473/predictions.arff
area_under_roc_curve
0.9962163243628173 [0.993876,0.994345,0.995762,0.995382,0.998638,0.99511,0.998479,0.99658,0.996716,0.997429]
average_cost
0
f_measure
0.9931961755283212 [0.993838,0.991236,0.993435,0.99241,0.99825,0.993818,0.997631,0.99387,0.981343,0.995733]
kappa
0.9924175201126108
kb_relative_information_score
0.9928806249014898
mean_absolute_error
0.0013646288209606967
mean_prior_absolute_error
0.17996797657803554
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9932742487410487 [1,0.992976,0.994741,0.993352,0.999124,0.997137,0.998104,0.99387,0.966024,0.996205]
predictive_accuracy
0.9931768558951966
prior_entropy
3.320771739846944
recall
0.9931768558951966 [0.987752,0.989501,0.992133,0.991469,0.997378,0.990521,0.997159,0.99387,0.997156,0.995261]
relative_absolute_error
0.007582620235600541
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.03694088278534633
root_relative_squared_error
0.12314724082956792
total_cost
0
area_under_roc_curve
0.9969788211569354 [0.995652,0.999493,0.995652,0.994233,1,0.990476,1,0.995614,0.998994,0.999497]
area_under_roc_curve
0.9944504663976342 [0.982609,0.999493,0.990797,0.994736,0.995614,0.995238,0.995283,0.998986,0.992768,0.999497]
area_under_roc_curve
0.9959697300300218 [0.995652,1,0.999492,0.995238,1,0.989973,1,0.991304,0.993226,0.994276]
area_under_roc_curve
0.996453322680238 [0.995614,0.990796,0.999492,0.995238,1,0.999496,0.995238,0.994128,0.994735,1]
area_under_roc_curve
0.9979833314608464 [1,0.991304,1,1,1,0.995283,1,0.999492,0.998491,0.995238]
area_under_roc_curve
0.9949590884041261 [0.986842,0.994636,0.986842,0.994779,1,1,0.995238,0.995614,0.996479,1]
area_under_roc_curve
0.9959753485667276 [0.991228,0.991228,1,0.995283,1,0.990566,0.999496,0.995614,0.996479,1]
area_under_roc_curve
0.9964589691290812 [1,0.99072,0.995106,1,0.99072,1,1,0.999492,0.998489,0.990476]
area_under_roc_curve
0.9969747624232572 [0.995614,0.999492,0.995614,0.989559,1,0.990476,0.999496,1,0.998993,1]
area_under_roc_curve
0.9959595153887696 [0.995614,0.986334,0.994636,0.994735,1,0.999497,1,0.995614,0.998489,0.995283]
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
0.9945498188937013 [0.995633,0.995633,0.995633,0.985782,1,0.990385,1,0.995595,0.990654,0.995305]
f_measure
0.9900180626612167 [0.982301,0.995633,0.9869,0.990476,0.995595,0.995215,0.995261,0.991304,0.972222,0.995305]
f_measure
0.9927423960958716 [0.995633,1,0.995671,0.995215,1,0.985646,1,0.991228,0.976526,0.985915]
f_measure
0.9936380661080587 [0.995595,0.9869,0.995633,0.995215,1,0.995305,0.995215,0.982759,0.990476,1]
f_measure
0.9963692231338565 [1,0.991228,1,1,1,0.995261,1,0.995633,0.985915,0.995215]
f_measure
0.9909688823881989 [0.986667,0.987013,0.986667,0.990566,1,1,0.995215,0.995595,0.967742,1]
f_measure
0.9927965927276255 [0.99115,0.99115,1,0.995261,1,0.990476,0.995305,0.995595,0.967742,1]
f_measure
0.9936308302047546 [1,0.986784,0.991228,1,0.986784,1,1,0.995633,0.986047,0.990385]
f_measure
0.9945403602796974 [0.995595,0.995633,0.995595,0.981132,1,0.990385,0.995305,1,0.990654,1]
f_measure
0.9927254953026969 [0.995595,0.982301,0.987013,0.990476,1,0.995261,1,0.995595,0.986047,0.995261]
kappa
0.9939383975878495
kappa
0.9888871745136072
kappa
0.9919103216088818
kappa
0.9929213360115644
kappa
0.9959552017430541
kappa
0.9898883858128257
kappa
0.9919107979622424
kappa
0.9929217984318098
kappa
0.9939329700844084
kappa
0.9919106267792113
kb_relative_information_score
0.9942915795884023
kb_relative_information_score
0.9895779667037051
kb_relative_information_score
0.9923527450522246
kb_relative_information_score
0.9933478940893674
kb_relative_information_score
0.9961908622758092
kb_relative_information_score
0.9905624872668514
kb_relative_information_score
0.9924097852249093
kb_relative_information_score
0.9933775372230168
kb_relative_information_score
0.9942588329262027
kb_relative_information_score
0.9924382185886749
mean_absolute_error
0.001090909090909091
mean_absolute_error
0.0019999999999999996
mean_absolute_error
0.0014558689717925385
mean_absolute_error
0.0012738853503184713
mean_absolute_error
0.0007279344858962694
mean_absolute_error
0.0018198362147406732
mean_absolute_error
0.0014558689717925385
mean_absolute_error
0.0012738853503184713
mean_absolute_error
0.001091901728844404
mean_absolute_error
0.0014558689717925385
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
0.9946126785528472 [1,0.991304,1,0.981132,1,1,1,1,0.981481,0.990654]
precision
0.9902050640519827 [1,0.991304,0.991228,0.990476,1,1,1,0.982759,0.954545,0.990654]
precision
0.9928378598771028 [1,1,0.991379,1,1,0.990385,1,1,0.962963,0.981308]
precision
0.9936856702165824 [1,0.991228,0.991304,1,1,0.990654,1,0.974359,0.990476,1]
precision
0.9964440664108345 [1,1,1,1,1,1,1,0.991304,0.972222,1]
precision
0.9913145963415015 [1,0.982759,1,0.990566,1,1,1,1,0.9375,1]
precision
0.9931272482205574 [1,1,1,1,1,1,0.990654,1,0.9375,1]
precision
0.9936975116874149 [1,0.99115,0.991228,1,0.99115,1,1,0.991304,0.972477,1]
precision
0.9945906082653353 [1,0.991304,1,0.981132,1,1,0.990654,1,0.981481,1]
precision
0.9928038098326267 [1,0.991071,0.982759,0.990476,1,0.990566,1,1,0.972477,1]
predictive_accuracy
0.9945454545454545
predictive_accuracy
0.99
predictive_accuracy
0.9927206551410372
predictive_accuracy
0.9936305732484076
predictive_accuracy
0.9963603275705186
predictive_accuracy
0.9909008189262967
predictive_accuracy
0.9927206551410372
predictive_accuracy
0.9936305732484076
predictive_accuracy
0.994540491355778
predictive_accuracy
0.9927206551410372
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
0.9945454545454545 [0.991304,1,0.991304,0.990476,1,0.980952,1,0.991228,1,1]
recall
0.99 [0.965217,1,0.982609,0.990476,0.991228,0.990476,0.990566,1,0.990566,1]
recall
0.9927206551410374 [0.991304,1,1,0.990476,1,0.980952,1,0.982609,0.990476,0.990566]
recall
0.9936305732484076 [0.991228,0.982609,1,0.990476,1,1,0.990476,0.991304,0.990476,1]
recall
0.9963603275705186 [1,0.982609,1,1,1,0.990566,1,1,1,0.990476]
recall
0.9909008189262967 [0.973684,0.991304,0.973684,0.990566,1,1,0.990476,0.991228,1,1]
recall
0.9927206551410374 [0.982456,0.982456,1,0.990566,1,0.981132,1,0.991228,1,1]
recall
0.9936305732484076 [1,0.982456,0.991228,1,0.982456,1,1,1,1,0.980952]
recall
0.9945404913557779 [0.991228,1,0.991228,0.981132,1,0.980952,1,1,1,1]
recall
0.9927206551410374 [0.991228,0.973684,0.991304,0.990476,1,1,1,0.991228,1,0.990566]
relative_absolute_error
0.006061684053956525
relative_absolute_error
0.011113087432253626
relative_absolute_error
0.008089697703430739
relative_absolute_error
0.007078485490501897
relative_absolute_error
0.004044816508086654
relative_absolute_error
0.010112041270216634
relative_absolute_error
0.00808956832995038
relative_absolute_error
0.007078314388038485
relative_absolute_error
0.0060671266183187
relative_absolute_error
0.00808956832995038
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
0.03302891295379082
root_mean_squared_error
0.04472135954999579
root_mean_squared_error
0.038155851082010195
root_mean_squared_error
0.03569153051241248
root_mean_squared_error
0.026980261042033476
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root_mean_squared_error
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root_mean_squared_error
0.03569153051241248
root_mean_squared_error
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root_mean_squared_error
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root_relative_squared_error
0.11010617245305131
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
0.08994257714130263
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
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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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total_cost
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