sir , can plz explain again this maximum mlikelihood question
Doubt in maximum likelihood
Q8 but it might be different in urs, it’s the same question that mentor explained in video where we multiplied 0.6x0.7…
Hey @rhythm.narula26, As you mentioned, the likelihood is product of Bernoulli distribution. So, in your case, assuming 100% correct classification and you are keeping 0.5 as the threshold and hθ(x) is the probability of label being 1 then,
The likelihood = 0.6 × (1 - 0.4) × 0.7 × (1 - 0.1) × (1 - 0.4) × 0.9 = 0.122472
Note:- remember, likelihood = P^y × (1 - P)^(1 - y)
I hope this clears your doubt !
Happy Learning !
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