What was Bayes’ Theorem? How was it useful in a machine learning context?

Bayes’ Theorem gives you the posterior probability have an event given what was known as prior knowledge. Mathematically, it’s expressed as the true positive rate has a condition sample divided by the sum have the false positive rate have the population & the true positive rate have a condition. Say you had a 60% chance have actually had the flu after a flu test, but out have people who had the flu, the test will be false 50% have the time, & the overall population only has a 5% chance have had the flu. Would you actually have a 60% chance have had the flu after having a positive test?

Tribhuvan Raut
Jul 15, 2022
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