CODEWITHSUNDEEP
machine-learningclassificationroc
mino
mino

Reputation: 7288

What are the variables involved in constructing an ROC curve?

Say I have a classifier and I achieve FAR of 10% and FRR of 15%. What would I need to do with these to construct an ROC curve?

I'm having trouble seeing what they actually represent and the situation in which they are used. I don't seem to have an important variable the shifts the FAR and FRR in one direction or the other. Can I still use ROC?

Upvotes: 1

Views: 67

Answers (1)

lejlot
lejlot

Reputation: 66825

Short answer is: no, you cannot.

ROC curve is a parametric curve, you need a scalar value you can shift in order to change your classifiers decisions. Its usefull for:

  • Checking robustness to this parameter
  • fine-tuning final probability estimates for a particular application

Upvotes: 2

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