Chapter 4. Learning from Data - Part 1
In this chapter, we will cover the following recipes:
- Creating and saving an Attribute-Relation File Format file
- Cross-validating a machine-learning model
- Classifying unseen test data
- Classifying unseen test data with a filtered classifier
- Generating linear regression models
- Generating logistic regression models
- Clustering data using the KMeans algorithm
- Clustering data from classes
- Learning association rules from data
- Selecting features/attributes using the low-level method, the filtering method, and the meta-classifier method
