- Access to
**800,000+**Textbook Solutions - Ask any question from
**24/7**available

Tutors **Live Video**Consultation with Tutors**50,000+**Answers by Tutors

Suppose that a learning algorithm is trying to find a

Suppose that a learning algorithm is trying to find a consistent hypothesis when the classifications of examples are actually random. There are u Boolean attributes, and examples are drawn uniformly from the set of 2n possible examples. Calculate the number of examples required before the probability of finding a contradiction in the data reaches 0.5.

Membership
TRY NOW

- Access to
**800,000+**Textbook Solutions - Ask any question from
**24/7**available

Tutors **Live Video**Consultation with Tutors**50,000+**Answers by Tutors

Relevant Tutors available to help