F1-Measure
(Redirected from F1 Metric)
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An F1-Measure is an F-measure where the β is equal to 1.
- AKA: [math]\displaystyle{ F_1 }[/math].
- Context:
- Counter-Example(s):
- an F2-Measure.
- an F0.5-Measure.
- See: Harmonic Mean.
References
2011
- (Sammut & Webb, 2011) ⇒ Claude Sammut (editor), and Geoffrey I. Webb (editor). (2011). “F1-Measure.” In: (Sammut & Webb, 2011) p.397
- (Wikipedia, 2011) ⇒ http://en.wikipedia.org/wiki/F1_score
- QUOTE:In statistics, the F1 score (also F-score or F-measure) is a measure of a test's accuracy. It considers both the precision p and the recall r of the test to compute the score: p is the number of correct results divided by the number of all returned results and r is the number of correct results divided by the number of results that should have been returned. The F1 score can be interpreted as a weighted average of the precision and recall, where an F1 score reaches its best value at 1 and worst score at 0.
The traditional F-measure or balanced F-score (F1 score) is the harmonic mean of precision and recall: :[math]\displaystyle{ F = 2 \cdot \frac{\mathrm{precision} \cdot \mathrm{recall}}{\mathrm{precision} + \mathrm{recall}} }[/math].
- QUOTE:In statistics, the F1 score (also F-score or F-measure) is a measure of a test's accuracy. It considers both the precision p and the recall r of the test to compute the score: p is the number of correct results divided by the number of all returned results and r is the number of correct results divided by the number of results that should have been returned. The F1 score can be interpreted as a weighted average of the precision and recall, where an F1 score reaches its best value at 1 and worst score at 0.