Man pages for wsrf
Weighted Subspace Random Forest for Classification

combine.wsrfCombine Ensembles of Trees
correlation.wsrfCorrelation
importance.wsrfExtract Variable Importance Measure
oob.error.rate.wsrfOut-of-Bag Error Rate
predict.wsrfPredict Method for 'wsrf' Model
print.wsrfPrint Method for 'wsrf' Model
strength.wsrfStrength
subset.wsrfSubset of a Forest
varCounts.wsrfNumber of Times of Variables Selected as Split Condition
wsrfBuild a Forest of Weighted Subspace Decision Trees
wsrf documentation built on Sept. 25, 2017, 9:04 a.m.