when is gain ratio required to be calculated
Information gain ratio In decision tree learning, Information gain ratio is a ratio of information gain to the intrinsic information. It is used to reduce a bias towards multi-valued attributes by taking the number and size of branches into account when choosing an attribute.[1]
Rule of 72 An early reference to the rule is in the Summa de arithmetica (Venice, 1494. Fol. 181, n. 44) of Luca Pacioli (1445â€“1514). He presents the rule in a discussion regarding the estimation of the doubling time of an investment, but does not derive or explain the rule, and it is thus assumed that the rule predates Pacioli by some time.