Statistical models with an outcome variable.

  • Linear regression
  • Neural networks

Regression models predict a numeric outcome, while Classification models predicts binary, ordered, or unordered qualitative values.


Also called labels/endpoints/dependent variables.

This is what is being predicted.

Independent variables

Also called predictors, features, covariates.

These variables are used for making predictions of the outcome.