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 'trees',COUNT Number of tree classifiers (default: 20) 'dim' Number of features selected randomly at each tree stage. dim<1 is used as percentage. (default: 0.2 = 20% of feat.) 'maxnodes',N Max.number of nodes used in training (default: 10000) FIELDS P(1,IND) Make a subset of base classifiers given classifier indices IND 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: