Resubstitution classification edge for multiclass error-correcting output codes (ECOC) model

returns the resubstitution classification edge
(`e`

= resubEdge(`Mdl`

)`e`

) for the multiclass error-correcting output codes (ECOC) model
`Mdl`

using the training data stored in `Mdl.X`

and
the corresponding class labels stored in `Mdl.Y`

.

The classification edge is a scalar value that represents the weighted mean of the classification margins.

computes the resubstitution classification edge with additional options specified by one or
more name-value pair arguments. For example, you can specify a decoding scheme, binary
learner loss function, and verbosity level.`e`

= resubEdge(`Mdl`

,`Name,Value`

)

To compare the margins or edges of several ECOC classifiers, use template objects to specify a common score transform function among the classifiers during training.

[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.

`ClassificationECOC`

| `edge`

| `fitcecoc`

| `predict`

| `resubLoss`

| `resubMargin`

| `resubPredict`