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Classification edge for cross-validated kernel ECOC model

returns the classification edge
obtained by the cross-validated kernel ECOC model (`edge`

= kfoldEdge(`CVMdl`

)`ClassificationPartitionedKernelECOC`

) `CVMdl`

. For every fold,
`kfoldEdge`

computes the classification edge for validation-fold
observations using a model trained on training-fold observations.

returns the classification edge with additional options specified by one or more name-value
pair arguments. For example, specify the number of folds, decoding scheme, or verbosity
level.`edge`

= kfoldEdge(`CVMdl`

,`Name,Value`

)

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[2] Escalera, S., O. Pujol, and P.
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*IEEE Transactions on Pattern Analysis and Machine Intelligence*. Vol.
32, Issue 7, 2010, pp. 120–134.

[3] Escalera, S., O. Pujol, and P.
Radeva. “Separability of ternary codes for sparse designs of error-correcting output
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