fbeta_score_2

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leslyarun commited on Oct 30, 2022

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 The F-beta score is the weighted harmonic mean of precision and recall, reaching its optimal value at 1 and its worst value at 0.
 The beta parameter determines the weight of recall in the combined score. beta < 1 lends more weight to precision, while beta > 1 favors recall (beta -> 0 considers only precision, beta -> +inf only recall).*
 ## How to Use
 ``` python

 The F-beta score is the weighted harmonic mean of precision and recall, reaching its optimal value at 1 and its worst value at 0.
 The beta parameter determines the weight of recall in the combined score. beta < 1 lends more weight to precision, while beta > 1 favors recall (beta -> 0 considers only precision, beta -> +inf only recall).*
+Note: The default value of Beta is set as 0.5 to calculate the frequently used FBeta 0.5. Please set a different Beta value according to your needs.
 ## How to Use
 ``` python