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`

)

[1] Allwein, E., R. Schapire, and Y.
Singer. “Reducing multiclass to binary: A unifying approach for margin
classiﬁers.” *Journal of Machine Learning Research*. Vol. 1, 2000,
pp. 113–141.

[2] Escalera, S., O. Pujol, and P.
Radeva. “On the decoding process in ternary error-correcting output codes.”
*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
codes.” *Pattern Recogn*. Vol. 30, Issue 3, 2009, pp.
285–297.