RpartEVAL: Evaluating the performance of the RPART Decision Tree.

In DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics

Evaluating the performance of the RPART Decision Tree.

Description

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

Usage

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

Value

Performance statistics of the model

DIscBIO documentation built on Nov. 6, 2023, 5:08 p.m.