calc_performance: Calculate epitope classification performance indices
In fcampelo/epitopes: Processing and Feature Extraction for Epitope Data

calc_performance

R Documentation

Calculate epitope classification performance indices

This function is used to calculate several distinct BINARY classification performance indicators. NA values are not considered in the calculations.

calc_performance(
  truth,
  pred,
  prob = NULL,
  posValue = 1,
  negValue = -1,
  ret.as.list = FALSE
)

`truth`	vector of reference values
`pred`	vector of predicted values
`prob`	optional, vector of predicted probabilities
`posValue`	value that indicates the "positive" class.
`negValue`	value that indicates the "negative" class.
`ret.as.list`	optional, should the result be returned as a list (if TRUE the routine also returns the `tpr` and `fpr` vectors used to calculate AUC, if a `prob` vector is passed.)