Deep learning

can anyone explain me the difference between fbeta and FBeta
actually is there any difference theam
thanks in advance !!!

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F-Beta score is a way of measuring a certain accuracy for a model. It takes into consideration both the Recall and Precision metrics. If you don’t know what those are, it’s highly recommended to check the previous post about Recall & Precision.

A quick definition of recall and precision, in a non-mathematical way:

Precision: high precision means that an algorithm returned substantially more relevant results than irrelevant ones
Recall: high recall means that an algorithm returned most of the relevant results