mdl = fitcecoc(X, Y)
label = predict(mdl, Xnew)
[label, score] = predict(mdl, Xnew)
| Parameter | Description |
|---|---|
| X | numeric matrix: rows are observations and columns are predictors. |
| Y | vector: class labels with one label for each row of X. |
| Name, Value | optional name-value arguments accepted by the corresponding fitting function. |
| Parameter | Description |
|---|---|
| mdl | classification model object returned by the fitting function. |
| label | predicted class labels for new observations. |
| score | class scores or posterior-like values when the model provides them. |
ClassificationECOC stores a multiclass classifier represented by a set of binary learners and a coding design.
Create this object with fitcecoc. Use predict to classify new observations.
X = [0 0; 0 1; 1 0; 5 5; 5 6; 6 5; 9 0; 9 1; 8 0];
Y = [1; 1; 1; 2; 2; 2; 3; 3; 3];
mdl = fitcecoc(X, Y);
label = predict(mdl, [0.2 0.1; 5.2 5.1; 8.8 0.2])| Version | Description |
|---|---|
| 2.0.0 | initial version |