performance.metrics: Performance metrics

In scGate: Marker-Based Cell Type Purification for Single-Cell Sequencing Data

Performance metrics

Description

Evaluate model performance for binary tasks

Usage

performance.metrics(actual, pred, return_contingency = FALSE)

Arguments

actual	Logical or numeric binary vector giving the actual cell labels.
pred	Logical or numeric binary vector giving the predicted cell labels.
return_contingency	Logical indicating if contingency table must be returned.

Value

Prediction performance metrics (Precision, Recall, MCC) between actual and predicted cell type labels.

Examples

results <- performance.metrics(actual= sample(c(1,0),20,replace=TRUE),
    pred =  sample(c(1,0),20,replace=TRUE,prob = c(0.65,0.35) ) )

scGate documentation built on May 29, 2024, 2:56 a.m.