Reputation: 61
How to compute False Accept and False reject rates using one class SVM? I have a user data with around 70000 samples. I am trying to apply one class SVM here. The number of -1 values obtained are 12765 and the rest are displayed as 1. From these values obtained, how do I compute False Accept Rate ?
Upvotes: 0
Views: 514
Reputation: 93
You can compute it with the help of Confusion matrix.
FAR = FPR = FP/(FP + TN)
FRR = FNR = FN/(FN + TP)
where FP: False positive
FN: False Negative
TN: True Negative
TP: True Positive
You can also find the original answer here
Upvotes: 1