1. Distances and normalization in KNN. (URL)

How to normalize attributes for KNN, and what distance functions can be used.

2. Attribute normalization and feature scaling. (URL)

How to normalize attributes.

3. Confusion matrices. (URL)

Evaluating models by breaking results into the positive and the negative class.

Última modificación: viernes, 8 de abril de 2022, 12:35