Question:

F1- score is used in binary classifiers. F1 can be defined as

Updated On: Mar 16, 2024
  • \(FI= \frac{precision+recall}{ 2×precision×recall}\)
  • F1-(precision+recall) ×2
  • \(FI= \frac{2 ×precision× recall }{precision+recall}\)
  • \(FI= \frac{4×precision+recall }{precision ×recall}\)
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The Correct Option is C

Solution and Explanation

The correct option is(C): \(FI= \frac{2 ×precision× recall }{precision+recall}\)
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