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Instructions for university students in a data mining course to complete homework assignments related to neural network modeling using the german credit case and the provided dataset. Students are required to perform standard partition of the data, fit neural network models with different configurations, and calculate net profits for various cut-off probabilities. The goal is to find the best model based on profitability and evaluate its performance on test data.
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“Data Mining Techniques” by Berry and Linoff (2nd edition): chapter 7 (pages 211-255).
Hand in answers to the following questions at the beginning of the first class of week 7. The questions are based on the German Credit Case (see separate document on the handouts page of the course website) and the Excel dataset German.xls (available on the data page of the course website).
Cut-off probability 0.5 0.8 0.93 0.985 0. Neural network model 1 profit