Soft Boundary Classification
Channel: Machine Learning Practice
Date: 18/10/2022

With soft boundary classification, we accept that we will miss-classify some examples in the training set.  By taking this step, we hope to reduce over-fitting by our model and to be robust to noisy class labels in the training set.