1. Machine Learning for SQL Use Cases
  2. Concepts
  3. Machine Learning Algorithms
  4. About Generalized Linear Model
  5. Scalable Feature Selection
  6. Feature Selection

Feature Selection

Feature selection in GLM simplifies models, enhancing interpretability and accuracy by removing irrelevant predictors.

Feature selection is the process of choosing the terms to be included in the model. The fewer terms in the model, the easier it is for human beings to interpret its meaning. In addition, some columns may not be relevant to the value that the model is trying to predict. Removing such columns can enhance model accuracy.