regression

A statistical model that shows a relationship between one or more predictor variables with a response variable.

Simple Linear Regression

[[Linear Regression]] performs the task to predict a dependent variable value (y) based on a given independent variable (x). So, this regression technique finds out a linear relationship between x (input) and y(output). Hence, the name is Linear Regression.

$$ Y = $$

Type of Regression

• Ordinal regression
• Poisson regression
• Fast forest quantile regression
• Linear, Polynomial, Lasso, Stepwise, Ridge regression
• Bayesian linear regression
• Neural network regression
• Decision forest regression
• Boosted decision tree regression
• KNN (K-nearest neighbors)

Evaluation