why do I get the same predicted values despite having different inputs in a SVM model. For example, suppose the training data is matrixA, and the Two different Prediction data are MatrixC and MatrixD. Why is the predicted values identical?
MatrixB is a concatination of MatrixA with another Matrix---
I appreciate any help I can get?