Chapter 6. Selecting and Building a Model
In this chapter, we will cover:
- Evaluating balancing with Auto Classifier
- Building models with and without outliers
- Using Neural Network for Feature Selection
- Creating a bootstrap sample
- Creating bagged logistic regression models
- Using KNN to match similar cases
- Using Auto Classifier to tune models
- Next-Best-Offer for large data sets