[□=□] □
[tag=□] □
[lemma=□] □
Decision trees classify data through recursive partitioning of the data set into mutually exclusive subsets which best explain the variation in the dependent variable under observation ( Liepins et al. 1990 , Biggs et al. 1991 ) . In our own era , there has been a special sort of spin on this traditional rhetoric in which technology and media play the role of demonic catalyst . Ca n't two theories explain the same data ? Drezner captures the scent of the trees and presents their smells in small beakers that line the walls of the gallery . A similar situation occurs if we eliminate the information on the dependent variable for a group of families ; nlogit drops those families from the estimation sample . Residence fees cover the period of a particular semester only .