Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance

Matthew Almeida, Wei Ding, Scott Crouter +1

The study of model bias and variance with respect to decision boundaries is critically important in supervised classification. There is generally a tradeoff between the two, as fin…