10363425
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)
8218871
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
6.5031187555491305
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.3569381453006406
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.15364377981481867
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
4559
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
21648552
description
https://api.openml.org/data/download/21648552/description.xml
-1
21648553
predictions
https://api.openml.org/data/download/21648553/predictions.arff
area_under_roc_curve
0.9980798616979711 [0.998637,0.99702,0.998536,0.996007,0.999461,0.997903,0.999053,0.998433,0.998226,0.997379]
average_cost
0
f_measure
0.996543155255422 [0.998249,0.994316,0.997378,0.994302,0.998689,0.996209,0.999052,0.9965,0.99527,0.995261]
kappa
0.9961581323454866
kb_relative_information_score
0.9963736953098643
mean_absolute_error
0.0006914119359534211
mean_prior_absolute_error
0.17996797657803554
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9965453120867511 [0.999124,0.993881,0.997378,0.996194,0.998253,0.996209,1,0.995629,0.99339,0.995261]
predictive_accuracy
0.9965429403202328
prior_entropy
3.320771739846944
recall
0.9965429403202329 [0.997375,0.994751,0.997378,0.992417,0.999126,0.996209,0.998106,0.997373,0.997156,0.995261]
relative_absolute_error
0.0038418609193709495
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.02629471307988397
root_relative_squared_error
0.08765684845726954
total_cost
0
area_under_roc_curve
0.9979843518284013 [1,0.999493,1,0.994736,1,0.990476,1,0.995614,0.999497,0.999497]
area_under_roc_curve
0.9959600262694279 [0.991304,0.998986,0.990797,0.994736,0.995614,0.994736,1,0.999493,0.999497,0.99478]
area_under_roc_curve
0.9964681427300817 [0.999492,0.995614,0.999492,0.994735,1,0.994735,1,0.995652,0.98947,0.994779]
area_under_roc_curve
0.9974695828428396 [1,0.991304,0.999492,0.994735,1,0.999496,0.995238,0.998984,0.995238,1]
area_under_roc_curve
0.9989842557055012 [1,0.995652,1,1,0.999492,1,1,0.999492,1,0.995238]
area_under_roc_curve
0.9979777036200944 [1,0.998984,0.995614,0.995283,1,1,0.995238,0.995614,0.998994,1]
area_under_roc_curve
0.9994969818913481 [0.995614,1,1,1,1,1,1,1,0.999497,1]
area_under_roc_curve
0.9989847715736041 [1,0.995614,1,1,0.999492,1,1,0.999492,1,0.995238]
area_under_roc_curve
0.9984853364413842 [1,0.995106,1,0.990566,1,1,1,1,1,0.998993]
area_under_roc_curve
0.99898936767815 [1,0.999492,1,0.995238,1,0.999497,1,1,1,0.995283]
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
0.9963591456490973 [1,0.995633,1,0.990476,1,0.990385,1,0.995595,0.995305,0.995305]
f_measure
0.9927233651679918 [0.991228,0.991304,0.9869,0.990476,0.995595,0.990476,1,0.995633,0.995305,0.990566]
f_measure
0.993630521342169 [0.995671,0.995595,0.995671,0.990476,1,0.990476,1,0.995633,0.980952,0.990566]
f_measure
0.9954500408505819 [1,0.991228,0.995633,0.990476,1,0.995305,0.995215,0.991379,0.995215,1]
f_measure
0.9981799564673949 [1,0.995633,1,1,0.995671,1,1,0.995633,1,0.995215]
f_measure
0.9963684143337868 [1,0.991379,0.995595,0.995261,1,1,0.995215,0.995595,0.990566,1]
f_measure
0.9990902338717695 [0.995595,1,1,1,1,1,1,1,0.995261,1]
f_measure
0.9981799561642927 [1,0.995595,1,1,0.995633,1,1,0.995633,1,0.995215]
f_measure
0.9972700836986976 [1,0.991228,1,0.990476,1,1,1,1,1,0.990654]
f_measure
0.9981799736684404 [1,0.995633,1,0.995215,1,0.995261,1,1,1,0.995261]
kappa
0.9959588612070881
kappa
0.9919178189132222
kappa
0.9929214011448321
kappa
0.9949438160892465
kappa
0.9979775617934001
kappa
0.9959551533609675
kappa
0.9989888143917752
kappa
0.9979776287835502
kappa
0.9969664682955913
kappa
0.9979775971498658
kb_relative_information_score
0.9961659783456628
kb_relative_information_score
0.9924177911763615
kb_relative_information_score
0.9932912999896975
kb_relative_information_score
0.9952246983464592
kb_relative_information_score
0.9980954311379047
kb_relative_information_score
0.9961911963968381
kb_relative_information_score
0.9990618093796367
kb_relative_information_score
0.9980955516049365
kb_relative_information_score
0.9971292638216761
kb_relative_information_score
0.9980673626169734
mean_absolute_error
0.0007272727272727273
mean_absolute_error
0.0014545454545454545
mean_absolute_error
0.0012738853503184713
mean_absolute_error
0.0009099181073703367
mean_absolute_error
0.0003639672429481347
mean_absolute_error
0.0007279344858962694
mean_absolute_error
0.00018198362147406734
mean_absolute_error
0.0003639672429481347
mean_absolute_error
0.0005459508644222021
mean_absolute_error
0.0003639672429481347
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
0.9963885338554171 [1,0.991304,1,0.990476,1,1,1,1,0.990654,0.990654]
precision
0.992767047523057 [1,0.982759,0.991228,0.990476,1,0.990476,1,0.991304,0.990654,0.990566]
precision
0.993646261491638 [0.991379,1,0.991379,0.990476,1,0.990476,1,1,0.980952,0.990566]
precision
0.9954979340134251 [1,1,0.991304,0.990476,1,0.990654,1,0.982906,1,1]
precision
0.9981959202382429 [1,1,1,1,0.991379,1,1,0.991304,1,1]
precision
0.9964254515120637 [1,0.982906,1,1,1,1,1,1,0.981308,1]
precision
0.9990986660257181 [1,1,1,1,1,1,1,1,0.990566,1]
precision
0.9981959884479961 [1,1,1,1,0.991304,1,1,0.991304,1,1]
precision
0.9973039463485323 [1,0.991228,1,1,1,1,1,1,1,0.981481]
precision
0.9981966602497162 [1,0.991304,1,1,1,0.990566,1,1,1,1]
predictive_accuracy
0.9963636363636365
predictive_accuracy
0.9927272727272727
predictive_accuracy
0.9936305732484076
predictive_accuracy
0.9954504094631482
predictive_accuracy
0.9981801637852594
predictive_accuracy
0.9963603275705186
predictive_accuracy
0.9990900818926296
predictive_accuracy
0.9981801637852594
predictive_accuracy
0.997270245677889
predictive_accuracy
0.9981801637852594
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
0.9963636363636363 [1,1,1,0.990476,1,0.980952,1,0.991228,1,1]
recall
0.9927272727272727 [0.982609,1,0.982609,0.990476,0.991228,0.990476,1,1,1,0.990566]
recall
0.9936305732484076 [1,0.991228,1,0.990476,1,0.990476,1,0.991304,0.980952,0.990566]
recall
0.9954504094631483 [1,0.982609,1,0.990476,1,1,0.990476,1,0.990476,1]
recall
0.9981801637852593 [1,0.991304,1,1,1,1,1,1,1,0.990476]
recall
0.9963603275705186 [1,1,0.991228,0.990566,1,1,0.990476,0.991228,1,1]
recall
0.9990900818926297 [0.991228,1,1,1,1,1,1,1,1,1]
recall
0.9981801637852593 [1,0.991228,1,1,1,1,1,1,1,0.990476]
recall
0.997270245677889 [1,0.991228,1,0.981132,1,1,1,1,1,1]
recall
0.9981801637852593 [1,1,1,0.990476,1,1,1,1,1,0.990566]
relative_absolute_error
0.004041122702637684
relative_absolute_error
0.008082245405275365
relative_absolute_error
0.007078485490501897
relative_absolute_error
0.0050560610646442124
relative_absolute_error
0.002022408254043327
relative_absolute_error
0.004044816508086654
relative_absolute_error
0.0010111960412437977
relative_absolute_error
0.002022375539439567
relative_absolute_error
0.0030335633091593513
relative_absolute_error
0.0020223920824875953
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
0.026967994498529685
root_mean_squared_error
0.03813850356982369
root_mean_squared_error
0.03569153051241248
root_mean_squared_error
0.030164848870338084
root_mean_squared_error
0.019077925541005097
root_mean_squared_error
0.026980261042033476
root_mean_squared_error
0.013490130521016738
root_mean_squared_error
0.019077925541005097
root_mean_squared_error
0.023365591463136604
root_mean_squared_error
0.019077925541005097
root_relative_squared_error
0.08990131334695498
root_relative_squared_error
0.12713965661041707
root_relative_squared_error
0.11898379712825385
root_relative_squared_error
0.10055966238669839
root_relative_squared_error
0.06359900621400924
root_relative_squared_error
0.08994257714130263
root_relative_squared_error
0.04497092897171183
root_relative_squared_error
0.06359797743644019
root_relative_squared_error
0.07789129669615813
root_relative_squared_error
0.06359849766431201
total_cost
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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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total_cost
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