Partially Learned Concepts

• what if run out of training data before convergence?
• Can still classify new data!!
• new instance will be classified as positive by all the hypotheses if and only if the instance satisfies every member of
• new instance will be classified as negative by all the hypotheses if and only if the instance satisfies none of the members of
• can use voting if not equally split