Bagged Logic Regression

method = 'logicBag'

Type: Regression, Classification

Tuning Parameters: nleaves (Maximum Number of Leaves), ntrees (Number of Trees)

Bayesian Generalized Linear Model

method = 'bayesglm'

Type: Regression, Classification

No Tuning Parameters

Boosted Logistic Regression

method = 'LogitBoost'

Type: Classification

Tuning Parameters: nIter (# Boosting Iterations)

Generalized Partial Least Squares

method = 'gpls'

Type: Classification

Tuning Parameters: K.prov (#Components)

Logic Regression

method = 'logreg'

Type: Regression, Classification

Tuning Parameters: treesize (Maximum Number of Leaves), ntrees (Number of Trees)

Logistic Model Trees

method = 'LMT'

Type: Classification

Tuning Parameters: iter (# Iteratons)

Oblique Random Forest

method = 'ORFlog'

Type: Classification

Tuning Parameters: mtry (#Randomly Selected Predictors)

Penalized Logistic Regression

method = 'plr'

Type: Classification

Tuning Parameters: lambda (L2 Penalty), cp (Complexity Parameter)

Penalized Multinomial Regression

method = 'multinom'

Type: Classification

Tuning Parameters: decay (Weight Decay)