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If we were to disregard any differences due to the fold size, the results are respectively 6.5 and 2.6% less accurate than our equivalent methods.
As the position of vocal fold varies in each person, the proportion of the vocal fold size as presented in the vocal fold image is different, making it impossible to directly estimate relevant glottis physiological parameters, such as the length, area, perimeter, and opening angle of the glottis.
However, different dog breeds show such high morphological diversity, that their vocal fold size and fundamental frequency can also correlate with the physical parameters of the body [18].
Mean F0 is associated with both the signaler's vocal fold size and state of arousal.
(b) Fold size: users can select the number of cross-validations (e.g., "10" denotes a 10-fold cross-validation).
However, for a given dissection condition, over 90% of the total tissue area was within a 2-3 fold size range.
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Training, validation, and testing of mAIS classifier using k-fold validation with variable fold sizes to generalize our results across our dataset.
We note that large fold sizes may sometimes cause a pessimistic bias on the performance estimate, if the training set becomes too small compared with the size of the whole data set used for training the final model.
The averaging CV approach requires relatively large fold sizes to evaluate the multivariate performance metrics, as all the interactions contradicting the particular setting have to be removed from the training set.
Considering all traits, the average proportion of animals in the training set was about 83% for both RAND and DIST, although there was greater variation in fold sizes for DIST.
The more than three-fold size difference is mainly due to nested LTR retrotransposon insertions in the maize genome [78, 84].
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