This two-day course covers the principles and practice of the tree-based classification and regression methods available in AnswerTree. These methods (CHAID, Exhaustive CHAID, C&RT; 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. Topics include incorporation of misclassification costs and priors.
US Customers - Select this link to begin course registration
Canadian Customers - Select this link to begin course registration
Please note: If you are paying by Check or PO, you will need to download the Public Training or the Academic Training registration form and fax or mail the completed form to SPSS along with your payment.
Subscribers: If you are a Training Subscriber please select "Call Me" as the payment type when preregistering for this course. You will be contacted by a sales representative to verify your subscription — otherwise you will be invoiced for the training.
Costs are for United States courses only. Information about other countries can be found at the worldwide offices page.
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.
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.
The full table of contents for this course is available.
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