Hi @ANANDHI
If an SVM classifier has been trained using the "fitcsvm" function, new test data can be classified using the "predict" function.
Assuming the model is stored in a variable called "SVMModel" and the new test data is in a matrix called "TestData", the syntax would look like this:
predictedLabels = predict(SVMModel, TestData);
Here, "TestData" should have the same number of columns (features) as the training data. The result "predictedLabels" will contain the predicted class labels for each row of the test data.
For more information please refer to the following MathWorks documnetation :
Hope this helps!
