Get's class-specific evaluation metrics for a multiclass classification model. For each class, includes sensitivity, specificity, and balanced accuracy. Also includes calculation of a custom balanced accuracy that is the product of a specific labels balanced accuracy (mean of spec and sens) times the minimum of spec or sens.
Designed to work as caret summaryFunction where data is a data.frame with columns 'pred' and 'obs' for predicted and observed labels.
1 | multiClassMetrics(data, lev = NULL, model = NULL)
|
data |
data.frame with columns 'pred' and 'obs' for predicted and observed labels |
lev |
caret summaryFunction optional parameter |
model |
caret summaryFunction optional parameter |
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