bAccuracy {scReClassify} | R Documentation |
This function calculates the accuracy of the prediction to the true label.
bAccuracy(cls.truth, final)
cls.truth |
A character vector of true class label. |
final |
A vector of final classified label prediction from
|
An accuracy value.
Pengyi Yang, Taiyun Kim
data("gse87795_subset_sce") mat.expr <- gse87795_subset_sce cellTypes <- gse87795_subset_sce$cellTypes # Get dimension reduced matrix. We are using `logNorm` assay from `mat.expr`. mat.pc <- matPCs(mat.expr, assay = "logNorm") # Here we are using Support Vector Machine as a base classifier. result <- multiAdaSampling(mat.pc, cellTypes, classifier = "svm", percent = 1, L = 10) final <- result$final # Balanced accuracy bacc <- bAccuracy(cellTypes, final)