10363428
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)
8218874
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
21.816851587853648
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.4723685507387202
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.011068733091048558
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
54612
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
21648558
description
https://api.openml.org/data/download/21648558/description.xml
-1
21648559
predictions
https://api.openml.org/data/download/21648559/predictions.arff
area_under_roc_curve
0.9972694155098346 [0.997762,0.994243,0.997175,0.995806,0.999411,0.995957,0.999476,0.999391,0.997903,0.995433]
average_cost
0
f_measure
0.9950867819170847 [0.997371,0.990368,0.995626,0.992417,0.998253,0.99383,0.999053,0.994774,0.996209,0.992881]
kappa
0.9945404866355294
kb_relative_information_score
0.9948504914353326
mean_absolute_error
0.0009825327510917024
mean_prior_absolute_error
0.17996797657803554
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9950937595117169 [0.999122,0.991236,0.996497,0.992417,0.997382,0.995247,0.999053,0.989601,0.996209,0.994297]
predictive_accuracy
0.9950873362445415
prior_entropy
3.320771739846944
recall
0.9950873362445415 [0.995626,0.989501,0.994755,0.992417,0.999126,0.992417,0.999053,1,0.996209,0.991469]
relative_absolute_error
0.005459486569632395
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.031345378464642956
root_relative_squared_error
0.10449389889000045
total_cost
0
area_under_roc_curve
0.9979843518284013 [1,0.999493,1,0.994736,1,0.990476,1,1,0.999497,0.99478]
area_under_roc_curve
0.9944336264446018 [0.991304,0.989707,0.990289,0.995238,1,0.994736,1,0.998479,0.99478,0.990063]
area_under_roc_curve
0.9964681427300817 [1,0.991228,0.999492,0.994232,1,0.994735,1,0.999492,0.994735,0.990063]
area_under_roc_curve
0.9969665647341877 [1,0.986957,0.999492,0.994232,1,0.999496,0.995238,0.998984,0.995238,1]
area_under_roc_curve
0.9989842557055012 [1,0.995144,1,1,0.995652,1,1,0.999492,1,1]
area_under_roc_curve
0.9989837398373984 [1,0.998984,0.991228,1,1,1,1,1,1,1]
area_under_roc_curve
0.9979787353563001 [0.995106,1,1,0.995283,1,0.995283,1,0.999492,0.994735,0.999497]
area_under_roc_curve
0.9984771573604061 [1,0.995614,1,1,0.999492,1,1,0.998985,1,0.990476]
area_under_roc_curve
0.9959595339968613 [0.995614,0.994599,0.995614,0.989559,1,0.985714,0.999496,0.999492,1,0.998993]
area_under_roc_curve
0.9964604888212525 [0.995614,0.99072,0.995652,0.994735,0.998985,0.998994,1,0.999492,1,0.990566]
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
0.9963590140357622 [1,0.995633,1,0.990476,1,0.990385,1,1,0.995305,0.990566]
f_measure
0.9900110220645334 [0.991228,0.978166,0.982609,0.995215,1,0.990476,1,0.987013,0.990566,0.985782]
f_measure
0.9936264599152019 [1,0.99115,0.995671,0.985782,1,0.990476,1,0.995671,0.990476,0.985782]
f_measure
0.994536535068978 [1,0.986784,0.995633,0.985782,1,0.995305,0.995215,0.991379,0.995215,1]
f_measure
0.9981801637852593 [1,0.991304,1,1,0.995633,1,1,0.995633,1,1]
f_measure
0.998179955534243 [1,0.991379,0.99115,1,1,1,1,1,1,1]
f_measure
0.9963601580872311 [0.991228,1,1,0.995261,1,0.995261,1,0.995633,0.990476,0.995261]
f_measure
0.9972693912925388 [1,0.995595,1,1,0.995633,1,1,0.991304,1,0.990385]
f_measure
0.9927154526113819 [0.995595,0.9869,0.995595,0.981132,1,0.985507,0.995305,0.995633,1,0.990654]
f_measure
0.9936303869265031 [0.995595,0.986784,0.995633,0.990476,0.991304,0.990566,1,0.995633,1,0.990476]
kappa
0.9959588315145014
kappa
0.9888867356301358
kappa
0.9929214011448321
kappa
0.9939326351355081
kappa
0.9979775804022204
kappa
0.9979775748196104
kappa
0.9959551980213962
kappa
0.9969664180546431
kappa
0.9919105597925747
kappa
0.9929216616659168
kb_relative_information_score
0.9961381807462248
kb_relative_information_score
0.9895492246413126
kb_relative_information_score
0.9932916056075516
kb_relative_information_score
0.9942864490268403
kb_relative_information_score
0.998123865390725
kb_relative_information_score
0.9981241706928866
kb_relative_information_score
0.9961628533050966
kb_relative_information_score
0.9971292638216762
kb_relative_information_score
0.9923543845311397
kb_relative_information_score
0.9933485867366221
mean_absolute_error
0.0007272727272727273
mean_absolute_error
0.0019999999999999996
mean_absolute_error
0.0012738853503184713
mean_absolute_error
0.001091901728844404
mean_absolute_error
0.0003639672429481347
mean_absolute_error
0.0003639672429481347
mean_absolute_error
0.0007279344858962694
mean_absolute_error
0.0005459508644222021
mean_absolute_error
0.0014558689717925385
mean_absolute_error
0.0012738853503184713
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
0.9963800376786967 [1,0.991304,1,0.990476,1,1,1,1,0.990654,0.990566]
precision
0.9900849874762918 [1,0.973913,0.982609,1,1,0.990476,1,0.974359,0.990566,0.990476]
precision
0.993654763871078 [1,1,0.991379,0.981132,1,0.990476,1,0.991379,0.990476,0.990476]
precision
0.9946051841722318 [1,1,0.991304,0.981132,1,0.990654,1,0.982906,1,1]
precision
0.9981880761166277 [1,0.991304,1,1,1,1,1,0.991304,1,1]
precision
0.9982112720966224 [1,0.982906,1,1,1,1,1,1,1,1]
precision
0.9963768240349755 [0.991228,1,1,1,1,1,1,0.991304,0.990476,0.990566]
precision
0.9973095344957185 [1,1,1,1,0.991304,1,1,0.982759,1,1]
precision
0.9927865967133314 [1,0.982609,1,0.981132,1,1,0.990654,0.991304,1,0.981481]
precision
0.9936958253237875 [1,0.99115,1,0.990476,0.982759,0.981308,1,0.991304,1,1]
predictive_accuracy
0.9963636363636365
predictive_accuracy
0.99
predictive_accuracy
0.9936305732484076
predictive_accuracy
0.994540491355778
predictive_accuracy
0.9981801637852594
predictive_accuracy
0.9981801637852594
predictive_accuracy
0.9963603275705186
predictive_accuracy
0.997270245677889
predictive_accuracy
0.9927206551410372
predictive_accuracy
0.9936305732484076
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 [1,1,1,0.990476,1,0.980952,1,1,1,0.990566]
recall
0.99 [0.982609,0.982456,0.982609,0.990476,1,0.990476,1,1,0.990566,0.981132]
recall
0.9936305732484076 [1,0.982456,1,0.990476,1,0.990476,1,1,0.990476,0.981132]
recall
0.9945404913557779 [1,0.973913,1,0.990476,1,1,0.990476,1,0.990476,1]
recall
0.9981801637852593 [1,0.991304,1,1,0.991304,1,1,1,1,1]
recall
0.9981801637852593 [1,1,0.982456,1,1,1,1,1,1,1]
recall
0.9963603275705186 [0.991228,1,1,0.990566,1,0.990566,1,1,0.990476,1]
recall
0.997270245677889 [1,0.991228,1,1,1,1,1,1,1,0.980952]
recall
0.9927206551410374 [0.991228,0.991228,0.991228,0.981132,1,0.971429,1,1,1,1]
recall
0.9936305732484076 [0.991228,0.982456,0.991304,0.990476,1,1,1,1,1,0.981132]
relative_absolute_error
0.004041122702637684
relative_absolute_error
0.011113087432253626
relative_absolute_error
0.007078485490501897
relative_absolute_error
0.006067273277573055
relative_absolute_error
0.002022408254043327
relative_absolute_error
0.002022408254043327
relative_absolute_error
0.004044784164975191
relative_absolute_error
0.0030335633091593513
relative_absolute_error
0.008089502157758267
relative_absolute_error
0.007078372288706582
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
0.04472135954999579
root_mean_squared_error
0.03569153051241248
root_mean_squared_error
0.03304393634003679
root_mean_squared_error
0.019077925541005097
root_mean_squared_error
0.019077925541005097
root_mean_squared_error
0.026980261042033476
root_mean_squared_error
0.023365591463136604
root_mean_squared_error
0.038155851082010195
root_mean_squared_error
0.03569153051241248
root_relative_squared_error
0.08990131334695498
root_relative_squared_error
0.1490844622660098
root_relative_squared_error
0.11898379712825385
root_relative_squared_error
0.11015759092859702
root_relative_squared_error
0.06359900621400924
root_relative_squared_error
0.06359900621400924
root_relative_squared_error
0.08994185794342366
root_relative_squared_error
0.07789129669615813
root_relative_squared_error
0.12719595487288038
root_relative_squared_error
0.11898189428669914
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
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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