10413665
1
Jan van Rijn
3481
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8251409
C
6360.5322901186655
16360
cache_size
200
16360
class_weight
null
16360
coef0
-0.05634340159786255
16360
decision_function_shape
"ovr"
16360
degree
2
16360
gamma
0.0016484164275861373
16360
kernel
"poly"
16360
max_iter
-1
16360
probability
false
16360
random_state
55216
16360
shrinking
true
16360
tol
5.0719904564138633e-05
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
21749139
description
https://api.openml.org/data/download/21749139/description.xml
-1
21749140
predictions
https://api.openml.org/data/download/21749140/predictions.arff
area_under_roc_curve
0.9867950914362914 [0.998,0.966666,0.992866,0.977066,0.982266,0.978932,0.982733,0.995,0.9966,0.994867,0.994933,0.998267,0.977327,0.977466,0.998267,0.968599,0.999867,0.999867,0.9812,0.971,0.995,0.9608,0.998067,0.996533,0.998333,0.976066]
average_cost
0
f_measure
0.9746142968325352 [0.990066,0.927393,0.981758,0.947195,0.957096,0.956522,0.96828,0.994975,0.994992,0.991653,0.993311,0.996667,0.954925,0.956667,0.996667,0.935323,0.996678,0.996678,0.969799,0.954469,0.994975,0.938983,0.991708,0.993333,0.998331,0.961345]
kappa
0.9735898424034115
kb_relative_information_score
0.9742981243529742
mean_absolute_error
0.001953414034983865
mean_prior_absolute_error
0.07396449117237175
number_of_instances
7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300]
precision
0.9747010922076798 [0.983553,0.918301,0.976898,0.937908,0.947712,0.953333,0.9699,1,0.996656,0.993311,0.996644,0.996667,0.953333,0.956667,0.996667,0.930693,0.993377,0.993377,0.976351,0.96587,1,0.955172,0.986799,0.993333,1,0.969492]
predictive_accuracy
0.9746056175452097
prior_entropy
4.700438279892712
recall
0.9746056175452097 [0.996667,0.936667,0.986667,0.956667,0.966667,0.959732,0.966667,0.99,0.993333,0.99,0.99,0.996667,0.956522,0.956667,0.996667,0.94,1,1,0.963333,0.943333,0.99,0.923333,0.996667,0.993333,0.996667,0.953333]
relative_absolute_error
0.026410159848615732
root_mean_prior_squared_error
0.19230768465256318
root_mean_squared_error
0.044197443760741015
root_relative_squared_error
0.22982671670448987
total_cost
0
area_under_roc_curve
0.982666666666667 [0.998667,0.982667,0.982,0.981333,0.965333,0.982667,0.983333,0.983333,1,1,1,0.999333,0.999333,0.966667,0.983333,0.914667,0.999333,1,0.999333,0.948,0.983333,0.965333,1,0.966,1,0.965333]
area_under_roc_curve
0.9880000000000001 [0.999333,0.948667,1,0.982,0.997333,0.998667,0.998667,1,0.983333,0.999333,0.983333,1,0.982667,0.982667,1,0.949333,1,0.999333,0.983333,0.983333,0.983333,0.933333,1,1,1,1]
area_under_roc_curve
0.9853333333333334 [0.999333,0.932,0.982667,0.966,0.982,0.981333,0.982667,0.983333,1,0.983333,0.983333,1,1,1,1,0.998667,1,1,0.95,0.949333,1,0.98,0.998667,1,1,0.966]
area_under_roc_curve
0.9873333333333335 [1,0.982,0.982667,0.966,1,0.982667,0.998667,1,1,0.983333,1,1,0.964667,0.948667,1,0.964,1,1,0.982667,0.933333,1,0.983333,1,1,1,0.998667]
area_under_roc_curve
0.9813333333333334 [1,0.979333,1,0.966,0.982,0.964667,0.982667,1,1,0.982667,0.983333,0.983333,0.964667,0.965333,0.999333,0.965333,1,1,0.949333,0.965333,1,0.932,0.982667,1,1,0.966667]
area_under_roc_curve
0.9933333333333333 [1,0.998667,1,0.998667,1,0.966667,0.982667,1,1,1,1,1,0.966667,0.998667,1,0.95,1,1,0.999333,0.983333,1,0.983333,1,0.999333,1,0.999333]
area_under_roc_curve
0.9860000000000002 [0.982667,0.983333,0.999333,0.982,0.932667,0.982667,1,0.983333,0.999333,1,0.999333,1,0.948667,0.964667,1,0.964667,0.999333,1,0.983333,0.999333,0.983333,0.998667,0.999333,1,0.983333,0.966667]
area_under_roc_curve
0.9839813084112148 [1,0.963996,0.983333,0.964664,0.981998,0.965332,0.949332,1,1,1,1,1,0.998,0.95,1,0.997997,1,1,0.965332,0.981998,1,0.9,1,1,1,0.981998]
area_under_roc_curve
0.9879848687138407 [1,0.94733,1,0.963996,0.998665,0.982092,0.965999,1,0.983333,1,1,1,0.982666,0.999332,1,0.981998,1,0.999332,1,0.966667,1,0.965999,1,1,1,0.95]
area_under_roc_curve
0.9919893190921231 [1,0.948665,0.998665,1,0.982666,0.982759,0.983333,1,1,1,1,1,0.966667,0.998665,1,0.999332,1,1,0.999332,0.999332,1,0.965999,1,1,1,0.965999]
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
0.9665671992509322 [0.967742,0.966667,0.95082,0.935484,0.933333,0.966667,0.983051,0.983051,1,1,1,0.983607,0.983607,0.965517,0.983051,0.862069,0.983607,1,0.983607,0.9,0.983051,0.933333,1,0.949153,1,0.933333]
f_measure
0.9768488820949882 [0.983607,0.915254,1,0.95082,0.9375,0.967742,0.967742,1,0.983051,0.983607,0.983051,1,0.966667,0.966667,1,0.931034,1,0.983607,0.983051,0.983051,0.983051,0.928571,1,1,1,1]
f_measure
0.9718226753786477 [0.983607,0.896552,0.966667,0.949153,0.95082,0.935484,0.966667,0.983051,1,0.983051,0.983051,1,1,1,1,0.967742,1,1,0.947368,0.931034,1,0.90625,0.967742,1,1,0.949153]
f_measure
0.9756400784455174 [1,0.95082,0.966667,0.949153,1,0.966667,0.967742,1,1,0.983051,1,1,0.918033,0.915254,1,0.903226,1,1,0.966667,0.928571,1,0.983051,1,1,1,0.967742]
f_measure
0.9642752761980916 [1,0.892308,1,0.949153,0.95082,0.918033,0.966667,1,1,0.966667,0.983051,0.983051,0.918033,0.933333,0.983607,0.933333,1,1,0.931034,0.933333,1,0.896552,0.966667,1,1,0.965517]
f_measure
0.9871237209221514 [1,0.967742,1,0.967742,1,0.965517,0.966667,1,1,1,1,1,0.965517,0.967742,1,0.947368,1,1,0.983607,0.983051,1,0.983051,1,0.983607,1,0.983607]
f_measure
0.9729963952573504 [0.966667,0.983051,0.983607,0.95082,0.912281,0.966667,1,0.983051,0.983607,1,0.983607,1,0.915254,0.918033,1,0.918033,0.983607,1,0.983051,0.983607,0.983051,0.967742,0.983607,1,0.983051,0.965517]
f_measure
0.9690205475736507 [1,0.903226,0.983051,0.918033,0.95082,0.933333,0.931034,1,1,1,1,1,0.95082,0.947368,1,0.952381,1,1,0.933333,0.95082,1,0.888889,1,1,1,0.95082]
f_measure
0.9769635953181801 [1,0.885246,1,0.903226,0.967742,0.965517,0.949153,1,0.983051,1,1,1,0.966667,0.983607,1,0.95082,1,0.983607,1,0.965517,1,0.949153,1,1,1,0.947368]
f_measure
0.9845239495369285 [1,0.915254,0.967742,1,0.966667,0.982456,0.983051,1,1,1,1,1,0.965517,0.967742,1,0.983607,1,1,0.983607,0.983607,1,0.949153,1,1,1,0.949153]
kappa
0.9653333333333334
kappa
0.976
kappa
0.9706666666666667
kappa
0.9746666666666667
kappa
0.9626666666666667
kappa
0.9866666666666667
kappa
0.972
kappa
0.9679590336296472
kappa
0.9759691516709512
kappa
0.9839794069912716
kb_relative_information_score
0.9662666598598946
kb_relative_information_score
0.9766466356907967
kb_relative_information_score
0.971456017002881
kb_relative_information_score
0.975345520528593
kb_relative_information_score
0.9636669482461808
kb_relative_information_score
0.9870190553896202
kb_relative_information_score
0.972749584791336
kb_relative_information_score
0.9688188077186727
kb_relative_information_score
0.9766140772163907
kb_relative_information_score
0.9844068657839286
mean_absolute_error
0.002564102564102563
mean_absolute_error
0.0017751479289940823
mean_absolute_error
0.0021696252465483227
mean_absolute_error
0.0018737672583826422
mean_absolute_error
0.0027613412228796835
mean_absolute_error
0.0009861932938856014
mean_absolute_error
0.0020710059171597625
mean_absolute_error
0.002369902241532536
mean_absolute_error
0.001777426681149402
mean_absolute_error
0.0011849511207662681
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396448587535052
mean_prior_absolute_error
0.07396447325283656
mean_prior_absolute_error
0.07396447325283656
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
precision
0.9669965127105005 [0.9375,0.966667,0.935484,0.90625,0.933333,0.966667,1,1,1,1,1,0.967742,0.967742,1,1,0.892857,0.967742,1,0.967742,0.9,1,0.933333,1,0.965517,1,0.933333]
precision
0.9778736980374421 [0.967742,0.931034,1,0.935484,0.882353,0.9375,0.9375,1,1,0.967742,1,1,0.966667,0.966667,1,0.964286,1,0.967742,1,1,1,1,1,1,1,1]
precision
0.9728708439181268 [0.967742,0.928571,0.966667,0.965517,0.935484,0.90625,0.966667,1,1,1,1,1,1,1,1,0.9375,1,1,1,0.964286,1,0.852941,0.9375,1,1,0.965517]
precision
0.9763562077522033 [1,0.935484,0.966667,0.965517,1,0.966667,0.9375,1,1,1,1,1,0.903226,0.931034,1,0.875,1,1,0.966667,1,1,1,1,1,1,0.9375]
precision
0.9652547396985662 [1,0.828571,1,0.965517,0.935484,0.903226,0.966667,1,1,0.966667,1,1,0.903226,0.933333,0.967742,0.933333,1,1,0.964286,0.933333,1,0.928571,0.966667,1,1,1]
precision
0.9877843258891645 [1,0.9375,1,0.9375,1,1,0.966667,1,1,1,1,1,1,0.9375,1,1,1,1,0.967742,1,1,1,1,0.967742,1,0.967742]
precision
0.9735853029165041 [0.966667,1,0.967742,0.935484,0.962963,0.966667,1,1,0.967742,1,0.967742,1,0.931034,0.903226,1,0.903226,0.967742,1,1,0.967742,1,0.9375,0.967742,1,1,1]
precision
0.9705043277046774 [1,0.875,1,0.903226,0.935484,0.933333,0.964286,1,1,1,1,1,0.90625,1,1,0.909091,1,1,0.933333,0.935484,1,1,1,1,1,0.935484]
precision
0.9776175853644257 [1,0.870968,1,0.875,0.9375,0.965517,0.965517,1,1,1,1,1,0.966667,0.967742,1,0.935484,1,0.967742,1,1,1,0.965517,1,1,1,1]
precision
0.9848637267767208 [1,0.931034,0.9375,1,0.966667,1,1,1,1,1,1,1,1,0.9375,1,0.967742,1,1,0.967742,0.967742,1,0.965517,1,1,1,0.965517]
predictive_accuracy
0.9666666666666667
predictive_accuracy
0.9769230769230769
predictive_accuracy
0.9717948717948718
predictive_accuracy
0.9756410256410257
predictive_accuracy
0.9641025641025641
predictive_accuracy
0.9871794871794871
predictive_accuracy
0.9730769230769231
predictive_accuracy
0.9691912708600771
predictive_accuracy
0.9768934531450577
predictive_accuracy
0.9845956354300385
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700435698259304
prior_entropy
4.700429514669705
prior_entropy
4.700429514669705
recall
0.9666666666666667 [1,0.966667,0.966667,0.966667,0.933333,0.966667,0.966667,0.966667,1,1,1,1,1,0.933333,0.966667,0.833333,1,1,1,0.9,0.966667,0.933333,1,0.933333,1,0.933333]
recall
0.9769230769230769 [1,0.9,1,0.966667,1,1,1,1,0.966667,1,0.966667,1,0.966667,0.966667,1,0.9,1,1,0.966667,0.966667,0.966667,0.866667,1,1,1,1]
recall
0.9717948717948718 [1,0.866667,0.966667,0.933333,0.966667,0.966667,0.966667,0.966667,1,0.966667,0.966667,1,1,1,1,1,1,1,0.9,0.9,1,0.966667,1,1,1,0.933333]
recall
0.9756410256410256 [1,0.966667,0.966667,0.933333,1,0.966667,1,1,1,0.966667,1,1,0.933333,0.9,1,0.933333,1,1,0.966667,0.866667,1,0.966667,1,1,1,1]
recall
0.9641025641025641 [1,0.966667,1,0.933333,0.966667,0.933333,0.966667,1,1,0.966667,0.966667,0.966667,0.933333,0.933333,1,0.933333,1,1,0.9,0.933333,1,0.866667,0.966667,1,1,0.933333]
recall
0.9871794871794872 [1,1,1,1,1,0.933333,0.966667,1,1,1,1,1,0.933333,1,1,0.9,1,1,1,0.966667,1,0.966667,1,1,1,1]
recall
0.9730769230769231 [0.966667,0.966667,1,0.966667,0.866667,0.966667,1,0.966667,1,1,1,1,0.9,0.933333,1,0.933333,1,1,0.966667,1,0.966667,1,1,1,0.966667,0.933333]
recall
0.9691912708600771 [1,0.933333,0.966667,0.933333,0.966667,0.933333,0.9,1,1,1,1,1,1,0.9,1,1,1,1,0.933333,0.966667,1,0.8,1,1,1,0.966667]
recall
0.9768934531450578 [1,0.9,1,0.933333,1,0.965517,0.933333,1,0.966667,1,1,1,0.966667,1,1,0.966667,1,1,1,0.933333,1,0.933333,1,1,1,0.9]
recall
0.9845956354300385 [1,0.9,1,1,0.966667,0.965517,0.966667,1,1,1,1,1,0.933333,1,1,1,1,1,1,1,1,0.933333,1,1,1,0.933333]
relative_absolute_error
0.034666666666666436
relative_absolute_error
0.023999999999999848
relative_absolute_error
0.029333333333333145
relative_absolute_error
0.025333333333333173
relative_absolute_error
0.037333333333333094
relative_absolute_error
0.013333333333333251
relative_absolute_error
0.02799999999999982
relative_absolute_error
0.03204108314261036
relative_absolute_error
0.024030816457970748
relative_absolute_error
0.016020544305313834
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230767088031558
root_mean_prior_squared_error
0.19230763806177284
root_mean_prior_squared_error
0.19230763806177284
root_mean_squared_error
0.05063696835418332
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_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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total_cost
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