Boosted Generalized Additive Model

method = 'gamboost'

Type: Regression, Classification

Tuning Parameters: mstop (# Boosting Iterations), prune (AIC Prune?)

Generalized Additive Model using LOESS

method = 'gamLoess'

Type: Regression, Classification

Tuning Parameters: span (Span), degree (Degree)

Generalized Additive Model using Splines

method = 'gam'

Type: Regression, Classification

Tuning Parameters: select (Feature Selection), method (Method)

Generalized Additive Model using Splines

method = 'gamSpline'

Type: Regression, Classification

Tuning Parameters: df (Degrees of Freedom)

• Links

  train Model List

• Topics

  • Data Sets
  • Visualizations
  • Pre-Processing
  • Data Splitting
  • Miscellaneous Model Functions
  • Model Training and Tuning
  • train Model List
  • train Models By Tag
  • train Models By Similarity
  • Using Custom Models
  • Variable Importance
  • Feature Selection
  • Other Functions
  • Parallel Processing