10363373
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)
8218820
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
128.0
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.03125
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
20250
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
21648448
description
https://api.openml.org/data/download/21648448/description.xml
-1
21648449
predictions
https://api.openml.org/data/download/21648449/predictions.arff
area_under_roc_curve
0.9976755068793465 [0.998199,0.995657,0.998435,0.995382,0.998974,0.997429,0.999476,0.998871,0.998276,0.995907]
average_cost
0
f_measure
0.995814428269859 [0.99781,0.99256,0.996507,0.99241,0.997816,0.995733,0.999053,0.996939,0.995741,0.993359]
kappa
0.9953493179741035
kb_relative_information_score
0.9956120461150685
mean_absolute_error
0.0008369723435225618
mean_prior_absolute_error
0.17996797657803554
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.99581544182157 [0.999123,0.992995,0.995637,0.993352,0.99738,0.996205,0.999053,0.995633,0.994329,0.994302]
predictive_accuracy
0.9958151382823871
prior_entropy
3.320771739846944
recall
0.9958151382823872 [0.9965,0.992126,0.997378,0.991469,0.998252,0.995261,0.999053,0.998249,0.997156,0.992417]
relative_absolute_error
0.004650673744501672
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.028930474305177954
root_relative_squared_error
0.09644350156100295
total_cost
0
area_under_roc_curve
0.9979843518284013 [1,0.995107,1,0.994736,1,0.995238,1,1,0.999497,0.99478]
area_under_roc_curve
0.9954564933390586 [0.991304,0.995107,0.990289,0.994233,1,0.990476,1,0.999493,0.999497,0.994277]
area_under_roc_curve
0.9969665554301417 [0.999492,0.995614,0.999492,0.994735,1,0.999497,1,0.999492,0.989973,0.990566]
area_under_roc_curve
0.9974695828428396 [1,0.995652,0.999492,0.995238,1,0.999496,0.995238,0.998984,0.994735,0.995238]
area_under_roc_curve
0.9979731075155485 [1,0.994636,1,0.995283,0.995652,0.995283,1,0.999492,0.999497,1]
area_under_roc_curve
0.9989837398373984 [1,0.999492,0.995614,0.995283,0.999492,1,1,1,1,1]
area_under_roc_curve
0.9994969818913481 [0.995614,1,1,1,1,1,1,1,0.999497,1]
area_under_roc_curve
0.998481753464952 [1,0.995106,1,1,0.995106,1,1,1,1,0.994735]
area_under_roc_curve
0.9979818117686751 [1,0.995106,1,0.990063,1,0.995238,1,1,1,0.998993]
area_under_roc_curve
0.9959610443849866 [0.995614,0.99072,0.999492,0.994232,0.999492,0.998994,0.999496,0.991228,1,0.990566]
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
0.9963635955212207 [1,0.991228,1,0.990476,1,0.995215,1,1,0.995305,0.990566]
f_measure
0.9918184497888859 [0.991228,0.991228,0.982609,0.985782,1,0.990385,1,0.995633,0.995305,0.985915]
f_measure
0.9945313554945875 [0.995671,0.995595,0.995671,0.990476,1,0.995261,1,0.995671,0.985646,0.990476]
f_measure
0.9954538590300298 [1,0.995633,0.995633,0.995215,1,0.995305,0.995215,0.991379,0.990476,0.995215]
f_measure
0.9963640799256116 [1,0.987013,1,0.995261,0.995633,0.995261,1,0.995633,0.995261,1]
f_measure
0.9981799423957332 [1,0.995671,0.995595,0.995261,0.995671,1,1,1,1,1]
f_measure
0.9990902338717695 [0.995595,1,1,1,1,1,1,1,0.995261,1]
f_measure
0.997270245677889 [1,0.991228,1,1,0.991228,1,1,1,1,0.990476]
f_measure
0.9963601860283492 [1,0.991228,1,0.985782,1,0.995215,1,1,1,0.990654]
f_measure
0.9927170649257404 [0.995595,0.986784,0.995671,0.985782,0.995633,0.990566,0.995305,0.99115,1,0.990476]
kappa
0.9959588649186308
kappa
0.9909075295757858
kappa
0.9939325290606461
kappa
0.9949437695647133
kappa
0.9959551310303834
kappa
0.9979775599324996
kappa
0.9989888143917752
kappa
0.9969664682955913
kappa
0.9959552873392948
kappa
0.9919105821215769
kb_relative_information_score
0.9961662836711948
kb_relative_information_score
0.9914520313432305
kb_relative_information_score
0.9942298549271702
kb_relative_information_score
0.9951965685154356
kb_relative_information_score
0.9961911675779709
kb_relative_information_score
0.9980957364400663
kb_relative_information_score
0.9990618093796367
kb_relative_information_score
0.9971576962759845
kb_relative_information_score
0.9961629760384154
kb_relative_information_score
0.9924094796261752
mean_absolute_error
0.0007272727272727273
mean_absolute_error
0.001636363636363636
mean_absolute_error
0.001091901728844404
mean_absolute_error
0.0009099181073703367
mean_absolute_error
0.0007279344858962694
mean_absolute_error
0.0003639672429481347
mean_absolute_error
0.00018198362147406734
mean_absolute_error
0.0005459508644222021
mean_absolute_error
0.0007279344858962694
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
0.996372132540357 [1,0.991228,1,0.990476,1,1,1,1,0.990654,0.990566]
precision
0.9918687281453454 [1,0.991228,0.982609,0.981132,1,1,1,0.991304,0.990654,0.981308]
precision
0.9945638586411412 [0.991379,1,0.991379,0.990476,1,0.990566,1,0.991379,0.990385,1]
precision
0.9954979340134251 [1,1,0.991304,1,1,0.990654,1,0.982906,0.990476,1]
precision
0.9963925122782061 [1,0.982759,1,1,1,1,1,0.991304,0.990566,1]
precision
0.9981958520284897 [1,0.991379,1,1,0.991379,1,1,1,1,1]
precision
0.9990986660257181 [1,1,1,1,1,1,1,1,0.990566,1]
precision
0.997270245677889 [1,0.991228,1,1,0.991228,1,1,1,1,0.990476]
precision
0.9963853623544252 [1,0.991228,1,0.990476,1,1,1,1,1,0.981481]
precision
0.9927880470252937 [1,0.99115,0.991379,0.981132,0.991304,0.981308,0.990654,1,1,1]
predictive_accuracy
0.9963636363636365
predictive_accuracy
0.9918181818181818
predictive_accuracy
0.994540491355778
predictive_accuracy
0.9954504094631482
predictive_accuracy
0.9963603275705186
predictive_accuracy
0.9981801637852594
predictive_accuracy
0.9990900818926296
predictive_accuracy
0.997270245677889
predictive_accuracy
0.9963603275705186
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
0.9963636363636363 [1,0.991228,1,0.990476,1,0.990476,1,1,1,0.990566]
recall
0.9918181818181818 [0.982609,0.991228,0.982609,0.990476,1,0.980952,1,1,1,0.990566]
recall
0.9945404913557779 [1,0.991228,1,0.990476,1,1,1,1,0.980952,0.981132]
recall
0.9954504094631483 [1,0.991304,1,0.990476,1,1,0.990476,1,0.990476,0.990476]
recall
0.9963603275705186 [1,0.991304,1,0.990566,0.991304,0.990566,1,1,1,1]
recall
0.9981801637852593 [1,1,0.991228,0.990566,1,1,1,1,1,1]
recall
0.9990900818926297 [0.991228,1,1,1,1,1,1,1,1,1]
recall
0.997270245677889 [1,0.991228,1,1,0.991228,1,1,1,1,0.990476]
recall
0.9963603275705186 [1,0.991228,1,0.981132,1,0.990476,1,1,1,1]
recall
0.9927206551410374 [0.991228,0.982456,1,0.990476,1,1,1,0.982456,1,0.981132]
relative_absolute_error
0.004041122702637684
relative_absolute_error
0.009092526080934785
relative_absolute_error
0.006067273277573055
relative_absolute_error
0.0050560610646442124
relative_absolute_error
0.004044816508086654
relative_absolute_error
0.002022408254043327
relative_absolute_error
0.0010111960412437977
relative_absolute_error
0.0030335633091593513
relative_absolute_error
0.004044751078879134
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
0.026967994498529685
root_mean_squared_error
0.04045199174779452
root_mean_squared_error
0.03304393634003679
root_mean_squared_error
0.030164848870338084
root_mean_squared_error
0.026980261042033476
root_mean_squared_error
0.019077925541005097
root_mean_squared_error
0.013490130521016738
root_mean_squared_error
0.023365591463136604
root_mean_squared_error
0.026980261042033476
root_mean_squared_error
0.038155851082010195
root_relative_squared_error
0.08990131334695498
root_relative_squared_error
0.13485197002043245
root_relative_squared_error
0.11015759092859702
root_relative_squared_error
0.10055966238669839
root_relative_squared_error
0.08994257714130263
root_relative_squared_error
0.06359900621400924
root_relative_squared_error
0.04497092897171183
root_relative_squared_error
0.07789129669615813
root_relative_squared_error
0.0899411222301118
root_relative_squared_error
0.12719699532862402
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
683.0704349995358
usercpu_time_millis
649.8377979878569
usercpu_time_millis
661.4676769968355
usercpu_time_millis
662.7012349927099
usercpu_time_millis
682.478192000417
usercpu_time_millis
688.2948170095915
usercpu_time_millis
670.8793830039212
usercpu_time_millis
671.859548005159
usercpu_time_millis
668.0808649980463
usercpu_time_millis
671.4912260067649
usercpu_time_millis_testing
83.09300499968231
usercpu_time_millis_testing
78.26158999523614
usercpu_time_millis_testing
78.61333299661055
usercpu_time_millis_testing
85.99521599535365
usercpu_time_millis_testing
83.39219099434558
usercpu_time_millis_testing
82.40020500670653
usercpu_time_millis_testing
83.01710100204218
usercpu_time_millis_testing
81.53359399875626
usercpu_time_millis_testing
79.34596699487884
usercpu_time_millis_testing
81.49791300820652
usercpu_time_millis_training
599.9774299998535
usercpu_time_millis_training
571.5762079926208
usercpu_time_millis_training
582.854344000225
usercpu_time_millis_training
576.7060189973563
usercpu_time_millis_training
599.0860010060715
usercpu_time_millis_training
605.894612002885
usercpu_time_millis_training
587.8622820018791
usercpu_time_millis_training
590.3259540064028
usercpu_time_millis_training
588.7348980031675
usercpu_time_millis_training
589.9933129985584
wall_clock_time_millis
683.0945014953613
wall_clock_time_millis
649.8608589172363
wall_clock_time_millis
661.5147590637207
wall_clock_time_millis
662.7523899078369
wall_clock_time_millis
682.5170516967773
wall_clock_time_millis
688.3227825164795
wall_clock_time_millis
670.905351638794
wall_clock_time_millis
671.8840599060059
wall_clock_time_millis
668.114423751831
wall_clock_time_millis
671.527624130249
wall_clock_time_millis_testing
83.10461044311523
wall_clock_time_millis_testing
78.27091217041016
wall_clock_time_millis_testing
78.62234115600586
wall_clock_time_millis_testing
86.00616455078125
wall_clock_time_millis_testing
83.41741561889648
wall_clock_time_millis_testing
82.41510391235352
wall_clock_time_millis_testing
83.02998542785645
wall_clock_time_millis_testing
81.5432071685791
wall_clock_time_millis_testing
79.35714721679688
wall_clock_time_millis_testing
81.51078224182129
wall_clock_time_millis_training
599.9898910522461
wall_clock_time_millis_training
571.5899467468262
wall_clock_time_millis_training
582.8924179077148
wall_clock_time_millis_training
576.7462253570557
wall_clock_time_millis_training
599.0996360778809
wall_clock_time_millis_training
605.907678604126
wall_clock_time_millis_training
587.8753662109375
wall_clock_time_millis_training
590.3408527374268
wall_clock_time_millis_training
588.7572765350342
wall_clock_time_millis_training
590.0168418884277