Forecast modeling in IBM SPSS Statistics and R. Solutions method

This book is a practical guide to apply the methods of decisions for problems of segmentation, classification and forecasting. Each section of the book is accompanied by a practical example. In addition, the book contains the SPSS SYNTAX and R software code that allows you to fully automate the process of building forecast models. The author summarizes the best practices of using tree trees from companies such as Citibank N.A., Transunion and DBS Bank.
After reading this book, you can:
- build and interpret the trees of solutions,
- evaluate the discriminatory ability of the obtained models,
- Improve the tree models using the pruning procedure of the branches (Pruning),
- Improve logistic regression models using wood information,
- Apply the rules for classification / forecast obtained by wood to new data.
The publication will be interested in marketers, risk analysts and other specialists engaged in the development and implementation of forecast models