In this two-part video series Jarlath Quinn explores how to work with the Neural Networks module in SPSS Statistics.
Introduction to the Neural Network module – part one
This video introduces the concept of Neural Networks, shows how to build a basic Neural Network model to predict credit worthiness, and explains how to interpret the default output generated by the procedure.
Introduction to the Neural Network module – part two
This video explains how to create a partition variable to control which cases are used for training and testing, explores the impact of selecting different activation functions, and demonstrates a range of model training methods. It also shows how to generate and interpret gains charts and illustrates how scoring methods are used to produce prediction variables.