Description Usage Arguments Value Examples
View source: R/grnn.search_auc.R
The function grnn.search_auc
searches for the optimal value of GRNN smoothing parameter by cross-validation.
It is applicable to the classification.
1 | grnn.search_auc(net, sigmas, nfolds = 4, seed = 1)
|
net |
A GRNN object generated by grnn.fit() |
sigmas |
A numeric vector to search for the best smoothing parameter |
nfolds |
A scalar for the number of n-fold, 4 by default |
seed |
The seed value for the n-fold cross-validation, 1 by default |
The list of all searching outcomes and the best outcome
1 2 3 4 5 |
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