SDRANDFOREST Random forest

  P=SDRANDFOREST(DATA)
  P=SDRANDFOREST(DATA,COUNT)
  P=SDRANDFOREST(DATA,options)

 INPUT
   DATA    Input data set
   COUNT   Number of base classifiers (default: 20)

 OUTPUT
   P       Random forest pipeline

 OPTIONS
  'count'  Number of base classifiers (default: 20)
  'dim'    Number of features selected randomly at each tree stage.
           dim<1 is used as percentage. (default: 0.2 = 20% of features)

 DESCRIPTION
 SDRANDFOREST builds a set of COUNT tree classifiers. When constructing a
 base tree classifier, 'dim' randomly-selected features is used at each
 node.

 SEE ALSO
 SDTREE

sdrandforest is referenced in examples:

• kb22: Note on decision tree performance and speed