Hi all,
I am used to calculate sensitivity and specificity in classification problems. Sensitivity is recall, so not a problem, but specificity (true negative) is usually not included in evaluation metrics.
Is it possible to calculate the specificity, or true negative rate, of a ML pipeline from crossvalidate ? I am following the tutorial from https://github.com/IBM/AutoMLPipeline.jl