This one-day course covers the principles and practice of the tree-based classification and regression methods available in SPSS Classification Trees. A general introduction to the features of the SPSS Classification Trees module and an overview of decision tree based methods will be covered. These methods (CHAID, Exhaustive CHAID, CRT and QUEST) are used to perform classification, segmentation and prediction modeling in a wide range of business and research areas. The techniques are discussed and compared, analyses are performed, and the results interpreted.
Analysts building prediction or classification models for which many predictor variables of different types may be involved. Survey and Market researchers who need to perform automated classification or segmentation analysis. This course will appeal to those wishing to find a means of targeting or identifying sub-groups of a population and who work primarily with categorical data, but who may have some continuous data.
Familiarity with the Windows interface. Knowledge of basic statistics through regression (topics covered in Statistical Analysis Using SPSS) is very useful. Those with advanced statistical training in predictive models (for example discriminant, logistic regression –covered in Advanced Statistics Using SPSS for Windows or Market Segmentation Using SPSS) will gain more from the seminar.
"Provided an overview of statistical theory relevant to solving business problems."
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