Cost-Sensitive C5.0

method = 'C5.0Cost'

Type: Classification

Tuning Parameters: trials (# Boosting Iterations), model (Model Type), winnow (Winnow), cost (Cost)

Cost-Sensitive CART

method = 'rpartCost'

Type: Classification

Tuning Parameters: cp (Complexity Parameter), Cost (Cost)

Support Vector Machines with Class Weights

method = 'svmRadialWeights'

Type: Classification

Tuning Parameters: sigma (Sigma), C (Cost), Weight (Weight)

• 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