Nov 5, 2020
As you said Bayes’ theorem is simply a relationship between recall and precision:
predict * precision / actual = recall = P(B/A)
(254/315 * 222/254) / (244/315) = 0.9098
As you said Bayes’ theorem is simply a relationship between recall and precision:
predict * precision / actual = recall = P(B/A)
(254/315 * 222/254) / (244/315) = 0.9098
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Max Kleiner's professional environment is in the areas of OOP, UML and coding - among other things as a trainer, developer and consultant.