Decision tree

Decision tree

classification(
  data,
  dep,
  indep,
  testSize = 0.33,
  noOfFolds = 10,
  testing,
  reporting = list("classifMetrices"),
  classifier,
  minSplit = 20,
  minBucket = 0,
  complecity = 0.01,
  maxCompete = 4,
  maxSurrogate = 5,
  unsurrogate = 2,
  noCrossValidations = 10,
  maxDepth = 30,
  noOfTrees = 10,
  maxDepthRandFor = 30,
  sampleFraction = 1,
  splitRule,
  plotDecisionTree = FALSE,
  predictedFreq = FALSE,
  printRandForest = FALSE,
  predictedFreqRF = FALSE
)

Arguments

data	.
dep	.
indep	.
testSize	.
noOfFolds	.
testing	.
reporting	.
classifier	.
minSplit	.
minBucket	.
complecity	.
maxCompete	.
maxSurrogate	.
unsurrogate	.
noCrossValidations	.
maxDepth	.
noOfTrees	.
maxDepthRandFor	.
sampleFraction	.
splitRule	.
plotDecisionTree	.
predictedFreq	.
printRandForest	.
predictedFreqRF	.

Value

A results object containing:

results$modelSettings					a html
results$confusion$matrix					a table
results$classificationMetrics$general					a table
results$classificationMetrics$class					a table
results$rocCurvePlot					an image
results$decisionTreeModel					an image
results$predictedFreqPlot					an image
results$printRandForest$randomForestModel					a table
results$text					a preformatted