Cubist

method = 'cubist'

Type: Regression

Tuning Parameters: committees (#Committees), neighbors (#Instances)

Logistic Model Trees

method = 'LMT'

Type: Classification

Tuning Parameters: iter (# Iteratons)

Model Rules

method = 'M5Rules'

Type: Regression

Tuning Parameters: pruned (Pruned), smoothed (Smoothed)

Model Tree

method = 'M5'

Type: Regression

Tuning Parameters: pruned (Pruned), smoothed (Smoothed), rules (Rules)

• 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