Man pages for rfUtilities
Random Forests Model Selection and Performance Evaluation

accuracyAccuracy
bivariate.partialDependenceBivariate partial-dependency plot
logLossLogarithmic loss (logLoss)
multi.collinearMulti-collinearity test
occurrence.thresholdTest occurrence probability thresholds
plot.occurrence.thresholdPlot occurrence thresholds
plot.rf.cvPlot random forests cross-validation
plot.rf.modelSelPlot random forests model selection
plot.significancePlot random forests significance
print.accuracyPrint accuracy
print.occurrence.thresholdPrint occurrence.threshold
print.rf.cvPrint random forests cross-validation
print.rf.ensemblesPrint for combined random forests ensembles
print.rf.modelSelPrint random forests model selection
print.significancePrint significance
probability.calibrationIsotonic probability calibration
rf.classBalanceRandom Forest Class Balance (Zero Inflation Correction) Model
rf.class.sensitivityRandom Forests class-level sensitivity analysis
rf.combineCombine Random Forests Ensembles
rf.crossValidationRandom Forest Classification or Regression Model...
rf.effectSizeRandom Forest effect size
rf.imp.freqRandom Forest variable selection frequency
rf.modelSelRandom Forest Model Selection
rf.partial.ciRandom Forests regression partial dependency plot with...
rf.partial.probRandom Forest probability scaled partial dependency plots
rf.regression.fitRandom Forest fit statistics
rf.significanceRandom Forest model significance test
rfu.newsrfUtilities news
rf.unsupervisedUnsupervised Random Forests
summary.accuracySummarizing accuracy
summary.occurrence.thresholdSummarizing occurrence.threshold
summary.rf.cvSummarizing cross-validation
summary.rf.ensemblesSummary for combined random forests ensembles
summary.rf.modelSelSummarizing random forests model selection
summary.significanceSummarizing significance
rfUtilities documentation built on Oct. 3, 2019, 9:04 a.m.