10363349
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)
8218802
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
3.081620245614723
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.053322514098660845
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.31447231452702795
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
40151
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
21648400
description
https://api.openml.org/data/download/21648400/description.xml
-1
21648401
predictions
https://api.openml.org/data/download/21648401/predictions.arff
area_under_roc_curve
0.9965096843520809 [0.997325,0.995016,0.997409,0.995806,0.999258,0.993587,0.998479,0.995349,0.996804,0.995907]
average_cost
0
f_measure
0.9937230901855042 [0.996931,0.990385,0.994326,0.992417,0.996947,0.991437,0.997631,0.989952,0.993842,0.993359]
kappa
0.993023931661226
kb_relative_information_score
0.9934207025503957
mean_absolute_error
0.0012554585152838413
mean_prior_absolute_error
0.17996797657803554
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9937299638150652 [0.999121,0.98952,0.993025,0.992417,0.994778,0.995224,0.998104,0.987794,0.993371,0.994302]
predictive_accuracy
0.9937227074235808
prior_entropy
3.320771739846944
recall
0.9937227074235808 [0.994751,0.991251,0.995629,0.992417,0.999126,0.987678,0.997159,0.992119,0.994313,0.992417]
relative_absolute_error
0.0069760106167525
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.03543245003219282
root_relative_squared_error
0.11811868391588501
total_cost
0
area_under_roc_curve
0.9964717217654548 [1,0.998986,1,0.994233,1,0.985714,0.999497,0.991228,0.999497,0.99478]
area_under_roc_curve
0.994940716560203 [0.995652,0.995107,0.989782,0.994736,0.999493,0.994736,0.995283,0.998986,0.995283,0.990063]
area_under_roc_curve
0.9944453397861193 [0.995144,0.995614,0.999492,0.994232,1,0.989973,1,0.990288,0.98947,0.989559]
area_under_roc_curve
0.995447286462934 [1,0.995144,0.999492,0.995238,1,0.985346,0.995238,0.994128,0.988967,1]
area_under_roc_curve
0.9979685114110024 [1,0.990796,0.999492,1,0.995144,1,1,0.999492,1,0.995238]
area_under_roc_curve
0.9964446370352028 [0.991228,0.998476,0.995614,0.995283,0.999492,0.990566,0.995238,0.998477,1,1]
area_under_roc_curve
0.9974752106835914 [0.995614,0.995106,1,1,1,0.990566,0.999496,0.995106,0.999497,0.999497]
area_under_roc_curve
0.9984812469008952 [1,0.991228,0.995106,0.999496,0.999492,1,1,1,1,1]
area_under_roc_curve
0.9979777222281861 [1,0.998985,0.995614,0.990063,1,1,1,0.995614,1,0.999496]
area_under_roc_curve
0.9954447445267535 [0.995614,0.99072,0.999492,0.994735,0.998985,0.998994,1,0.990213,0.995283,0.990566]
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
0.9936271916405791 [1,0.991304,1,0.985782,1,0.985507,0.995305,0.99115,0.995305,0.990566]
f_measure
0.9909160634743311 [0.995633,0.991228,0.978355,0.990476,0.995633,0.990476,0.995261,0.991304,0.995261,0.985782]
f_measure
0.9899908042131385 [0.991304,0.995595,0.995671,0.985782,1,0.985646,1,0.982609,0.980952,0.981132]
f_measure
0.9918175075692569 [1,0.991304,0.995633,0.995215,1,0.980952,0.995215,0.982759,0.976303,1]
f_measure
0.9963561640121827 [1,0.9869,0.995633,1,0.991304,1,1,0.995633,1,0.995215]
f_measure
0.993644786445318 [0.99115,0.987124,0.995595,0.995261,0.995671,0.990476,0.995215,0.987013,1,1]
f_measure
0.9954461877175957 [0.995595,0.991228,1,1,1,0.990476,0.995305,0.991228,0.995261,0.995261]
f_measure
0.9972663159840144 [1,0.99115,0.991228,0.995305,0.995633,1,1,1,1,1]
f_measure
0.9963598987979357 [1,0.991304,0.995595,0.985782,1,1,1,0.995595,1,0.995305]
f_measure
0.9918103640274294 [0.995595,0.986784,0.995671,0.990476,0.991304,0.990566,1,0.982456,0.995261,0.990476]
kappa
0.9929280071124043
kappa
0.9898969488785614
kappa
0.9888764875133074
kappa
0.9908987265946552
kappa
0.9959551273085954
kappa
0.9929212839040872
kappa
0.9949440766108106
kappa
0.9969664906243675
kappa
0.9959552910607884
kappa
0.9908991955481415
kb_relative_information_score
0.9932974115047692
kb_relative_information_score
0.9904588077225518
kb_relative_information_score
0.9894817374313216
kb_relative_information_score
0.9913588761260362
kb_relative_information_score
0.9962192965286297
kb_relative_information_score
0.9933205842366547
kb_relative_information_score
0.9952524851571494
kb_relative_information_score
0.9971858234474419
kb_relative_information_score
0.9961911029037647
kb_relative_information_score
0.9914431609346621
mean_absolute_error
0.0012727272727272726
mean_absolute_error
0.001818181818181818
mean_absolute_error
0.0020018198362147404
mean_absolute_error
0.001637852593266606
mean_absolute_error
0.0007279344858962694
mean_absolute_error
0.0012738853503184713
mean_absolute_error
0.0009099181073703367
mean_absolute_error
0.0005459508644222021
mean_absolute_error
0.0007279344858962694
mean_absolute_error
0.001637852593266606
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
0.9937018566108492 [1,0.982759,1,0.981132,1,1,0.990654,1,0.990654,0.990566]
precision
0.990963196972942 [1,0.991228,0.974138,0.990476,0.991304,0.990476,1,0.982759,1,0.990476]
precision
0.9900071639941475 [0.991304,1,0.991379,0.981132,1,0.990385,1,0.982609,0.980952,0.981132]
precision
0.9918735658062034 [1,0.991304,0.991304,1,1,0.990385,1,0.974359,0.971698,1]
precision
0.9963681704954716 [1,0.991228,0.991304,1,0.991304,1,1,0.991304,1,1]
precision
0.993777811604203 [1,0.974576,1,1,0.991379,1,1,0.974359,1,1]
precision
0.9954760816368706 [1,0.991228,1,1,1,1,0.990654,0.991228,0.990566,0.990566]
precision
0.997286661916803 [1,1,0.991228,0.990654,0.991304,1,1,1,1,1]
precision
0.9963915420777884 [1,0.982759,1,0.990476,1,1,1,1,1,0.990654]
precision
0.9918759208992937 [1,0.99115,0.991379,0.990476,0.982759,0.981308,1,0.982456,1,1]
predictive_accuracy
0.9936363636363637
predictive_accuracy
0.990909090909091
predictive_accuracy
0.9899909008189263
predictive_accuracy
0.991810737033667
predictive_accuracy
0.9963603275705186
predictive_accuracy
0.9936305732484076
predictive_accuracy
0.9954504094631482
predictive_accuracy
0.997270245677889
predictive_accuracy
0.9963603275705186
predictive_accuracy
0.991810737033667
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
0.9936363636363637 [1,1,1,0.990476,1,0.971429,1,0.982456,1,0.990566]
recall
0.990909090909091 [0.991304,0.991228,0.982609,0.990476,1,0.990476,0.990566,1,0.990566,0.981132]
recall
0.9899909008189263 [0.991304,0.991228,1,0.990476,1,0.980952,1,0.982609,0.980952,0.981132]
recall
0.991810737033667 [1,0.991304,1,0.990476,1,0.971698,0.990476,0.991304,0.980952,1]
recall
0.9963603275705186 [1,0.982609,1,1,0.991304,1,1,1,1,0.990476]
recall
0.9936305732484076 [0.982456,1,0.991228,0.990566,1,0.981132,0.990476,1,1,1]
recall
0.9954504094631483 [0.991228,0.991228,1,1,1,0.981132,1,0.991228,1,1]
recall
0.997270245677889 [1,0.982456,0.991228,1,1,1,1,1,1,1]
recall
0.9963603275705186 [1,1,0.991228,0.981132,1,1,1,0.991228,1,1]
recall
0.991810737033667 [0.991228,0.982456,1,0.990476,1,1,1,0.982456,0.990566,0.981132]
relative_absolute_error
0.007071964729615945
relative_absolute_error
0.010102806756594206
relative_absolute_error
0.011123334342217265
relative_absolute_error
0.009100909916359583
relative_absolute_error
0.004044816508086654
relative_absolute_error
0.007078428889151644
relative_absolute_error
0.005055980206218989
relative_absolute_error
0.0030335633091593513
relative_absolute_error
0.004044751078879134
relative_absolute_error
0.009100764371194177
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
0.03567530340063379
root_mean_squared_error
0.04264014327112208
root_mean_squared_error
0.04474170131113412
root_mean_squared_error
0.04047039156305021
root_mean_squared_error
0.026980261042033476
root_mean_squared_error
0.03569153051241248
root_mean_squared_error
0.030164848870338084
root_mean_squared_error
0.023365591463136604
root_mean_squared_error
0.026980261042033476
root_mean_squared_error
0.04047039156305021
root_relative_squared_error
0.11892825882706734
root_relative_squared_error
0.1421464574084365
root_relative_squared_error
0.14915408321101664
root_relative_squared_error
0.1349149445346518
root_relative_squared_error
0.08994257714130263
root_relative_squared_error
0.11898284569606474
root_relative_squared_error
0.10055805419206237
root_relative_squared_error
0.07789129669615813
root_relative_squared_error
0.0899411222301118
root_relative_squared_error
0.13491278691513547
total_cost
0
total_cost
0
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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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_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_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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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
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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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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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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