A Study on Tree Based Modeling for Classification in Agriculture
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Date
2010
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Publisher
IARI, INDIAN AGRICULTURAL STATISTICS RESEARCH INSTITUTE
Abstract
Tree based classification and regression procedures have greatly increased in popularity during the recent years. One of the tree-based approaches more commonly referred to as Classification and Regression Tree (CART) procedure have found favour among researchers for application in several areas as an alternative to the conventional classification approaches such as discriminant function method, logistic regression etc. In CART, the observations are successively separated into two subsets based on an associated variables significantly related to the response variable. Tree based methods are not based on any stringent assumptions. They can be applied to data sets having both a large number of cases and a large number of variables, and are extremely resistant to outliers. In the present study CART has been employed to a simulated dataset pertaining to agricultural ergonomics for the classification purpose and its efficiency as a classification method has been studied.
Description
T-8241