National Repository of Grey Literature 2 records found  Search took 0.02 seconds. 
CHAID and logistic regression
Novák, Jaroslav ; Čabla, Adam (advisor) ; Matějka, Martin (referee)
The aim of this thesis is to introduce logistic regression and method dedicated to construction of decision trees called CHAID, compare these two methods with regard to interpretation of their outputs. In order to accomplish the set goals application of these methods will be presented on real dataset. Statistical software will be used to obtain outputs. The outputs will be interpreted and conclusions on their bases will be presented. This thesis will also introduce possibilities of interpretation of these outputs and pros and cons that are connected with them.
CHAID - decision tree construction technique
Freyvald, Michal ; Vild, Jiří (advisor) ; Čabla, Adam (referee)
CHAID analysis (Chi-squared Automated Interaction Detection) is a construction technique of decision trees, which is especially suitable for categorical data and is based on Paerson's chi-square statistical test of independence of categorical fields. Important characteristics of decision trees are summarized and structure of CHAID analysis, particular phases of analysis construction, advantages, disadvantages and recommended settings for a high- quality analysis are described in this paper. On exemplary sample from customers segment we're observing usage of CHAID in practise and with the help of IBM SPSS PASW Statistics v18.0 software we're proving usefulness of CHAID analysis in target marketing.

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