Random Forests Model Selection and Performance Evaluation

Documentation for package ‘rfUtilities’ version 2.1-5

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accuracy	Accuracy
bivariate.partialDependence	Bivariate partial-dependency plot
logLoss	Logarithmic loss (logLoss)
multi.collinear	Multi-collinearity test
occurrence.threshold	Test occurrence probability thresholds
plot.occurrence.threshold	Plot occurrence thresholds
plot.rf.cv	Plot random forests cross-validation
plot.rf.modelSel	Plot random forests model selection
plot.significance	Plot random forests significance
print.accuracy	Print accuracy
print.occurrence.threshold	Print occurrence.threshold
print.rf.cv	Print random forests cross-validation
print.rf.ensembles	Print for combined random forests ensembles
print.rf.modelSel	Print random forests model selection
print.significance	Print significance
probability.calibration	Isotonic probability calibration
rf.class.sensitivity	Random Forests class-level sensitivity analysis
rf.classBalance	Random Forest Class Balance (Zero Inflation Correction) Model
rf.combine	Combine Random Forests Ensembles
rf.crossValidation	Random Forest Classification or Regression Model Cross-validation
rf.effectSize	Random Forest effect size
rf.imp.freq	Random Forest variable selection frequency
rf.modelSel	Random Forest Model Selection
rf.partial.ci	Random Forests regression partial dependency plot with confidence intervals
rf.partial.prob	Random Forest probability scaled partial dependency plots
rf.regression.fit	Random Forest fit statistics
rf.significance	Random Forest model significance test
rf.unsupervised	Unsupervised Random Forests
rfu.news	rfUtilities news
summary.accuracy	Summarizing accuracy
summary.occurrence.threshold	Summarizing occurrence.threshold
summary.rf.cv	Summarizing cross-validation
summary.rf.ensembles	Summary for combined random forests ensembles
summary.rf.modelSel	Summarizing random forests model selection
summary.significance	Summarizing significance