Description Usage Arguments Value See Also Examples
The function grnn.x_pfi
derives the permutation feature importance (PFI) of a predictor used in the GRNN
1 | grnn.x_pfi(net, i, class = FALSE, ntry = 1000, seed = 1)
|
net |
The GRNN object generated by grnn.fit() |
i |
The ith predictor in the GRNN |
class |
TRUE or FALSE, whether it is for the classification or not |
ntry |
The number of random permutations to try, 1e3 times by default |
seed |
The seed value for the random permutation |
A vector with the variable name and the PFI value.
1 2 3 4 5 |
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