I would like to know how to solve number 2) question.

number 1) is making two condition equal and using maximizing likelihood with gaussian density.

number 2) It seems like using conditional probability, however, I am not sure how to approach this.

Thanks for the help.

Problem 1. (20points) You want to sort incoming fishes according to species. There are two species - Sea bass and Salmon. For each incoming fish, you can measure and use its length to classify it into two species. Salmon's length follows a Gaussian distribution with mean 5 and variance 1. Sea bass's length follows a Gaussian distribution with mean 10 and variance 4. 1) Compute the decision boundary, assuming the equal prior (P(Sea bass) = P(Salmon)) 2) Compute the decision boundary, assuming P(Sea bass) - , P(Salmon) Show the intermediate results