Can a PLS-DA model result in values of specificity and sensitivity which do not match the data in the confusion matrix or table?

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Kyle Doty

One thought is that the results in the table or confusion matrix are for calibration whereas the sensitivity and specificity values are for internal cross-validation (CV). What are your sensitivity and specificity values? Are they off by a substantial amount?

Mudassir Arif Chaudhry

Actually the formula for the sensitivity is not satisfied by the result. For classification purpose the formula says (total number of correctly classified samples in a class/total number of samples in that class). If all the samples in a class are correctly classified then the value of sensitivity should be 1.000 but it appears around 0.800. Can you guide me please?