ML Unit 01 – Exam Flashcards

A supervised learning method that models the relationship between a dependent variable Y and one or more independent variables X using a straight line.

The relationship between input and output is linear.

The set of all hypotheses in hypothesis space H that are consistent with the training examples.

S = most-specific boundary; G = most-general boundary.

The process by which a system improves its performance on a task T, measured by P, based on experience E.

ML where a model is trained on a labeled dataset of input-output pairs to learn the mapping from inputs to outputs.