Predict labels using discriminant analysis classification model
[
also
returns:label
,score
,cost
]
= predict(Mdl
,X
)
A matrix of classification scores (score
)
indicating the likelihood that a label comes from a particular class.
For discriminant analysis, scores are posterior probabilities.
A matrix of expected
classification cost (cost
). For each observation
in X
, the predicted class label corresponds to
the minimum expected classification cost among all classes.
ClassificationDiscriminant
| CompactClassificationDiscriminant
| edge
| fitcdiscr
| loss
| margin