13 December 2015 3 5K Report

I have 50 abnormal and 50 normal data set. I have set the classification process with 2 classifiers (LR and NB) and 10-cross validation.

The tool gave a confusion matrix and performance metrics. The number of instances failed in LR is 8 and that in NB 15. 

If the FN and FP is 2 and 6 (using confusion matrix), then how do check if the failures have been incorrectly classified when they are in

(a) only when the validation set 

(b) whether they are in validation or training set

(c) only when they are training set

Weka tool gives average performance and hence the query.

Thanks in advance for your time.

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