Linear Regression component - ClickML Studio

Linear Regression models the target as a weighted sum of the input features. It is the simplest and most interpretable regression model.

Configuration

Parameter	Description	Default
Fit Intercept	Whether to include a bias/intercept term in the model.	`true`

Input / Output

	Type
Input	`X Train` + `Y Train`
Output	Trained Model

When to use

Best when the relationship between features and target is approximately linear. Scale features before using this model. Check for multicollinearity if using many correlated features.