Oblique Random Forest

method = 'ORFlog'

Type: Classification

Tuning Parameters: mtry (#Randomly Selected Predictors)

Oblique Random Forest

method = 'ORFpls'

Type: Classification

Tuning Parameters: mtry (#Randomly Selected Predictors)

Oblique Random Forest

method = 'ORFridge'

Type: Classification

Tuning Parameters: mtry (#Randomly Selected Predictors)

Oblique Random Forest

method = 'ORFsvm'

Type: Classification

Tuning Parameters: mtry (#Randomly Selected Predictors)

Oblique Trees

method = 'oblique.tree'

Type: Classification

Tuning Parameters: oblique.splits (Oblique Splits), variable.selection (Variable Selection Method)

• 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