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Possible Answers: BLEU.
Last seen on: Wall Street Journal Crossword – May 16 2018 – Startups
Random information on the term “BLEU”:
In statistical analysis of binary classification, 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 positive results divided by the number of all positive results returned by the classifier, and r is the number of correct positive results divided by the number of all relevant samples (all samples that should have been identified as positive). The F1 score is the harmonic average of the precision and recall, where an F1 score reaches its best value at 1 (perfect precision and recall) and worst at 0.
The name F-measure is believed to be named after a different F function in Van Rijsbergen’s book, when introduced to MUC-4.
The traditional F-measure or balanced F-score (F1 score) is the harmonic mean of precision and recall:
The general formula for positive real β is:
The formula in terms of Type I and type II errors:
Two other commonly used F measures are the F 2 {\displaystyle F_{2}} measure, which weighs recall higher than precision (by placing more emphasis on false negatives), and the F 0.5 {\displaystyle F_{0.5}} measure, which weighs recall lower than precision (by attenuating the influence of false negatives).