It is not the case that The No-Free-Lunch theorems show that if a uniform distribution is placed over all logically possible sequences of future events, any learning algorithm is expected to have a generalisation error of 1/2.
?Set your confidence on the premises below to see your aggregate.
No one has weighed in yet. Be the first to share reasons for or against this statement.