classifiACC: Compute the classification accuracy

In transbioZI/BioMM: BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data

Compute the classification accuracy

Description

Compute the classification accuracy for the binary classification problem.

Usage

classifiACC(dataY, predY)

Arguments

dataY	The observed outcome.
predY	The predicted outcome.

Value

The classification accuracy in terms of percentage.

Author(s)

Junfang Chen

Examples

 
## Load data  
methylfile <- system.file('extdata', 'methylData.rds', package='BioMM')  
methylData <- readRDS(methylfile) 
dataY <- methylData[,1]
methylSub <- data.frame(label=dataY, methylData[,c(2:1001)])  
library(ranger)  
library(BiocParallel)
param1 <- MulticoreParam(workers = 1) 
param2 <- MulticoreParam(workers = 10) 
predY <- predByCV(methylSub, repeats=1, nfolds=10,   
                  FSmethod=NULL, cutP=0.1, 
                  fdr=NULL, FScore=param1, 
                  classifier='randForest',
                  predMode='classification', 
                  paramlist=list(ntree=300, nthreads=1),
                  innerCore=param2)  
accuracy <- classifiACC(dataY=dataY, predY=predY)
print(accuracy)  

transbioZI/BioMM documentation built on Jan. 12, 2023, 2:18 p.m.