Chapter 7. Modeling – Assessment, Evaluation, Deployment, and Monitoring
In this chapter, we will cover:
- How (and why) to validate as well as test
- Using classification trees to explore the predictions of a Neural Network
- Correcting a confusion matrix for an imbalanced target variable by incorporating priors
- Using aggregate to write cluster centers to Excel for conditional formatting
- Creating a classification tree financial summary using aggregate and an Excel Export node
- Reformatting data for reporting with a Transpose node
- Changing formatting of fields in a Table node
- Combining generated filters
Introduction
The objective of data mining is to understand and predict behavior. A retailer wants to know why people buy, and how to sell more. An educator wants ...
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