performance.metrics {scGate}

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) ) )