10412967
1
Jan van Rijn
3481
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8250729
C
24506.56541052985
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.0
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.0012925603951445361
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
25671
16360
shrinking
true
16360
tol
4.104869123217376e-05
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
21747727
description
https://api.openml.org/data/download/21747727/description.xml
-1
21747728
predictions
https://api.openml.org/data/download/21747728/predictions.arff
area_under_roc_curve
0.9855946201414048 [0.998,0.964799,0.994466,0.975199,0.982333,0.980677,0.9778,0.993333,0.9966,0.9948,0.994933,0.999733,0.972111,0.972266,0.998333,0.966866,0.9998,0.999867,0.981066,0.969333,0.993267,0.954,0.996667,0.996533,0.998333,0.974266]
average_cost
0
f_measure
0.972303203466258 [0.990066,0.921053,0.981818,0.940789,0.958678,0.959866,0.964706,0.993289,0.994992,0.99,0.993311,0.993377,0.944908,0.946667,0.998331,0.932007,0.995025,0.996678,0.966555,0.952703,0.991625,0.928571,0.996656,0.993333,0.998331,0.956376]
kappa
0.9711889189855398
kb_relative_information_score
0.9719618883820257
mean_absolute_error
0.002130997129073307
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
0.9724168911880454 [0.983553,0.909091,0.97377,0.928571,0.95082,0.956667,0.972881,1,0.996656,0.99,0.996644,0.986842,0.943333,0.946667,1,0.927393,0.990099,0.993377,0.969799,0.965753,0.996633,0.947917,1,0.993333,1,0.962838]
predictive_accuracy
0.972297037322047
prior_entropy
4.700438279892712
recall
0.972297037322047 [0.996667,0.933333,0.99,0.953333,0.966667,0.963087,0.956667,0.986667,0.993333,0.99,0.99,1,0.946488,0.946667,0.996667,0.936667,1,1,0.963333,0.94,0.986667,0.91,0.993333,0.993333,0.996667,0.95]
relative_absolute_error
0.028811083471217157
root_mean_prior_squared_error
0.19230768465256318
root_mean_squared_error
0.04616272445462147
root_relative_squared_error
0.24004617671947093
total_cost
0
area_under_roc_curve
0.9806666666666668 [0.998667,0.983333,0.982,0.980667,0.965333,0.982667,0.983333,0.983333,1,1,1,0.998667,0.966,0.966,0.983333,0.914667,0.998667,1,0.998667,0.948667,0.966667,0.965333,1,0.966667,1,0.964667]
area_under_roc_curve
0.9886666666666666 [0.999333,0.948667,1,0.998667,0.998,0.998667,0.982667,1,0.983333,0.998667,0.983333,1,0.999333,0.983333,1,0.948667,1,0.999333,0.983333,0.983333,0.983333,0.933333,1,1,1,1]
area_under_roc_curve
0.9833333333333333 [0.999333,0.915333,0.998667,0.949333,0.981333,0.998,0.982667,0.983333,1,0.983333,0.983333,1,0.998667,0.966,1,0.998667,1,1,0.95,0.95,1,0.962667,1,1,1,0.966]
area_under_roc_curve
0.9880000000000001 [1,0.998667,0.999333,0.95,1,0.982667,0.999333,0.983333,1,0.983333,1,1,0.964667,0.948667,1,0.964667,1,1,0.982667,0.948667,1,0.983333,1,0.999333,1,0.999333]
area_under_roc_curve
0.9813333333333334 [1,0.962667,1,0.965333,0.982,0.981333,0.982667,1,1,0.982667,0.983333,0.999333,0.948,0.965333,1,0.965333,1,1,0.949333,0.965333,1,0.932,0.983333,1,1,0.966667]
area_under_roc_curve
0.9913333333333334 [1,0.998667,0.983333,0.998,0.983333,0.966667,0.966,1,1,1,1,1,0.966667,0.998667,1,0.95,1,1,0.999333,0.983333,1,0.983333,1,0.999333,1,0.998]
area_under_roc_curve
0.9853333333333334 [0.982667,0.982667,0.999333,0.982,0.949333,0.982667,1,0.983333,0.999333,1,0.999333,1,0.948,0.948,1,0.948,0.999333,1,0.983333,0.999333,0.982667,0.999333,1,1,0.983333,0.966667]
area_under_roc_curve
0.9826461949265687 [1,0.962661,0.983333,0.964664,0.981998,0.965332,0.948665,1,1,1,1,1,0.998,0.95,1,0.998665,1,1,0.965332,0.981998,1,0.866667,1,1,1,0.981998]
area_under_roc_curve
0.9853137516688919 [1,0.946662,1,0.963329,0.999332,0.982759,0.965999,1,0.983333,1,1,0.999332,0.965999,0.998665,1,0.980663,1,0.999332,1,0.933333,1,0.949332,1,1,1,0.95]
area_under_roc_curve
0.9893190921228304 [1,0.948665,0.998665,1,0.982666,0.965517,0.966667,1,1,1,1,1,0.966667,0.997997,1,0.999332,1,1,0.998665,0.999332,1,0.964664,0.983333,1,1,0.949332]
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
0.9627944082715537 [0.967742,0.983051,0.95082,0.920635,0.933333,0.966667,0.983051,0.983051,1,1,1,0.967742,0.949153,0.949153,0.983051,0.862069,0.967742,1,0.967742,0.915254,0.965517,0.933333,1,0.965517,1,0.918033]
f_measure
0.9780953109816864 [0.983607,0.915254,1,0.967742,0.952381,0.967742,0.966667,1,0.983051,0.967742,0.983051,1,0.983607,0.983051,1,0.915254,1,0.983607,0.983051,0.983051,0.983051,0.928571,1,1,1,1]
f_measure
0.9679532995493344 [0.983607,0.877193,0.967742,0.931034,0.935484,0.952381,0.966667,0.983051,1,0.983051,0.983051,1,0.967742,0.949153,1,0.967742,1,1,0.947368,0.947368,1,0.875,1,1,1,0.949153]
f_measure
0.9768690965422183 [1,0.967742,0.983607,0.947368,1,0.966667,0.983607,0.983051,1,0.983051,1,1,0.918033,0.915254,1,0.918033,1,1,0.966667,0.915254,1,0.983051,1,0.983607,1,0.983607]
f_measure
0.9642608427051431 [1,0.875,1,0.933333,0.95082,0.935484,0.966667,1,1,0.966667,0.983051,0.983607,0.9,0.933333,1,0.933333,1,1,0.931034,0.933333,1,0.896552,0.983051,1,1,0.965517]
f_measure
0.9833545279422458 [1,0.967742,0.983051,0.952381,0.983051,0.965517,0.949153,1,1,1,1,1,0.965517,0.967742,1,0.947368,1,1,0.983607,0.983051,1,0.983051,1,0.983607,1,0.952381]
f_measure
0.9717242288296509 [0.966667,0.966667,0.983607,0.95082,0.931034,0.966667,1,0.983051,0.983607,1,0.983607,1,0.9,0.9,1,0.9,0.983607,1,0.983051,0.983607,0.966667,0.983607,1,1,0.983051,0.965517]
f_measure
0.9662716344200865 [1,0.875,0.983051,0.918033,0.95082,0.933333,0.915254,1,1,1,1,1,0.95082,0.947368,1,0.967742,1,1,0.933333,0.95082,1,0.846154,1,1,1,0.95082]
f_measure
0.9719033771245018 [1,0.870968,1,0.888889,0.983607,0.982456,0.949153,1,0.983051,1,1,0.983607,0.949153,0.967742,1,0.920635,1,0.983607,1,0.928571,1,0.931034,1,1,1,0.947368]
f_measure
0.9794208330832054 [1,0.915254,0.967742,1,0.966667,0.964286,0.965517,1,1,1,1,1,0.965517,0.952381,1,0.983607,1,1,0.967742,0.983607,1,0.918033,0.983051,1,1,0.931034]
kappa
0.9613333333333334
kappa
0.9773333333333333
kappa
0.9666666666666667
kappa
0.976
kappa
0.9626666666666667
kappa
0.9826666666666666
kappa
0.9706666666666667
kappa
0.9652889530987844
kappa
0.9706289128173313
kappa
0.9786391727135313
kb_relative_information_score
0.9623721276711269
kb_relative_information_score
0.9779452321423071
kb_relative_information_score
0.9675665178563336
kb_relative_information_score
0.9766428598143397
kb_relative_information_score
0.9636682097911096
kb_relative_information_score
0.9831270375323805
kb_relative_information_score
0.9714522455055894
kb_relative_information_score
0.9662207953530418
kb_relative_information_score
0.9714167868668656
kb_relative_information_score
0.979208312266907
mean_absolute_error
0.002859960552268244
mean_absolute_error
0.0016765285996055222
mean_absolute_error
0.0024654832347140027
mean_absolute_error
0.0017751479289940823
mean_absolute_error
0.0027613412228796835
mean_absolute_error
0.0012820512820512818
mean_absolute_error
0.0021696252465483227
mean_absolute_error
0.0025673940949935805
mean_absolute_error
0.0021724103880714912
mean_absolute_error
0.0015799348276883574
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
0.9636829614582674 [0.9375,1,0.935484,0.878788,0.933333,0.966667,1,1,1,1,1,0.9375,0.965517,0.965517,1,0.892857,0.9375,1,0.9375,0.931034,1,0.933333,1,1,1,0.903226]
precision
0.9789827826048627 [0.967742,0.931034,1,0.9375,0.909091,0.9375,0.966667,1,1,0.9375,1,1,0.967742,1,1,0.931034,1,0.967742,1,1,1,1,1,1,1,1]
precision
0.9695009633067851 [0.967742,0.925926,0.9375,0.964286,0.90625,0.909091,0.966667,1,1,1,1,1,0.9375,0.965517,1,0.9375,1,1,1,1,1,0.823529,1,1,1,0.965517]
precision
0.9773200636034339 [1,0.9375,0.967742,1,1,0.966667,0.967742,1,1,1,1,1,0.903226,0.931034,1,0.903226,1,1,0.966667,0.931034,1,1,1,0.967742,1,0.967742]
precision
0.9650972702976972 [1,0.823529,1,0.933333,0.935484,0.90625,0.966667,1,1,0.966667,1,0.967742,0.9,0.933333,1,0.933333,1,1,0.964286,0.933333,1,0.928571,1,1,1,1]
precision
0.9843916511741871 [1,0.9375,1,0.909091,1,1,0.965517,1,1,1,1,1,1,0.9375,1,1,1,1,0.967742,1,1,1,1,0.967742,1,0.909091]
precision
0.9720341486470517 [0.966667,0.966667,0.967742,0.935484,0.964286,0.966667,1,1,0.967742,1,0.967742,1,0.9,0.9,1,0.9,0.967742,1,1,0.967742,0.966667,0.967742,1,1,1,1]
precision
0.9683356731917137 [1,0.823529,1,0.903226,0.935484,0.933333,0.931034,1,1,1,1,1,0.90625,1,1,0.9375,1,1,0.933333,0.935484,1,1,1,1,1,0.935484]
precision
0.9733145852670863 [1,0.84375,1,0.848485,0.967742,1,0.965517,1,1,1,1,0.967742,0.965517,0.9375,1,0.878788,1,0.967742,1,1,1,0.964286,1,1,1,1]
precision
0.9801586951304723 [1,0.931034,0.9375,1,0.966667,1,1,1,1,1,1,1,1,0.909091,1,0.967742,1,1,0.9375,0.967742,1,0.903226,1,1,1,0.964286]
predictive_accuracy
0.9628205128205128
predictive_accuracy
0.9782051282051282
predictive_accuracy
0.967948717948718
predictive_accuracy
0.9769230769230769
predictive_accuracy
0.9641025641025641
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9717948717948718
predictive_accuracy
0.9666238767650834
predictive_accuracy
0.9717586649550707
predictive_accuracy
0.9794608472400513
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
0.9628205128205128 [1,0.966667,0.966667,0.966667,0.933333,0.966667,0.966667,0.966667,1,1,1,1,0.933333,0.933333,0.966667,0.833333,1,1,1,0.9,0.933333,0.933333,1,0.933333,1,0.933333]
recall
0.9782051282051282 [1,0.9,1,1,1,1,0.966667,1,0.966667,1,0.966667,1,1,0.966667,1,0.9,1,1,0.966667,0.966667,0.966667,0.866667,1,1,1,1]
recall
0.967948717948718 [1,0.833333,1,0.9,0.966667,1,0.966667,0.966667,1,0.966667,0.966667,1,1,0.933333,1,1,1,1,0.9,0.9,1,0.933333,1,1,1,0.933333]
recall
0.9769230769230769 [1,1,1,0.9,1,0.966667,1,0.966667,1,0.966667,1,1,0.933333,0.9,1,0.933333,1,1,0.966667,0.9,1,0.966667,1,1,1,1]
recall
0.9641025641025641 [1,0.933333,1,0.933333,0.966667,0.966667,0.966667,1,1,0.966667,0.966667,1,0.9,0.933333,1,0.933333,1,1,0.9,0.933333,1,0.866667,0.966667,1,1,0.933333]
recall
0.9833333333333333 [1,1,0.966667,1,0.966667,0.933333,0.933333,1,1,1,1,1,0.933333,1,1,0.9,1,1,1,0.966667,1,0.966667,1,1,1,1]
recall
0.9717948717948718 [0.966667,0.966667,1,0.966667,0.9,0.966667,1,0.966667,1,1,1,1,0.9,0.9,1,0.9,1,1,0.966667,1,0.966667,1,1,1,0.966667,0.933333]
recall
0.9666238767650834 [1,0.933333,0.966667,0.933333,0.966667,0.933333,0.9,1,1,1,1,1,1,0.9,1,1,1,1,0.933333,0.966667,1,0.733333,1,1,1,0.966667]
recall
0.9717586649550706 [1,0.9,1,0.933333,1,0.965517,0.933333,1,0.966667,1,1,1,0.933333,1,1,0.966667,1,1,1,0.866667,1,0.9,1,1,1,0.9]
recall
0.9794608472400513 [1,0.9,1,1,0.966667,0.931034,0.933333,1,1,1,1,1,0.933333,1,1,1,1,1,1,1,1,0.933333,0.966667,1,1,0.9]
relative_absolute_error
0.038666666666666426
relative_absolute_error
0.02266666666666652
relative_absolute_error
0.03333333333333311
relative_absolute_error
0.023999999999999848
relative_absolute_error
0.037333333333333094
relative_absolute_error
0.01733333333333323
relative_absolute_error
0.029333333333333145
relative_absolute_error
0.034711173404494554
relative_absolute_error
0.029370997893075356
relative_absolute_error
0.021360725740418442
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
0.0534785990118313
root_mean_squared_error
0.04094543441710592
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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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