In this table, x represents the input to the algorithm (i.e., a feature vector), y represents the output, and N represents the number of training examples.

Models for Classification, y in {0, 1}
Learning Method	Generative or Discriminative?	Loss Function	Decision Boundary	Classifier Output	Algorithm	Assumptions	Guarantees (or lack thereof)	Notes