RpartEVAL function

Evaluating the performance of the RPART Decision Tree.

This function evaluates the performance of the generated trees for error estimation by ten-fold cross validation assessment.

RpartEVAL(data, num.folds = 10, First = "CL1", Second = "CL2", quiet = FALSE)

Arguments

• data: The resulted data from running the function J48DT.
• num.folds: A numeric value of the number of folds for the cross validation assessment. Default is 10.
• First: A string vector showing the first target cluster. Default is "CL1"
• Second: A string vector showing the second target cluster. Default is "CL2"
• quiet: If TRUE, suppresses intermediary output

Returns

Performance statistics of the model