MLIP L15 - Bayesian Classification Part-4 (Min. Average Risk, Likelihood Ratio-based Decision Rule)

Link to the course page for all the relevant material: https://subrahmanyamgorthi.weebly.com... This video starts with a quick recap of concepts in Bayesian classification is provided in this lecture. A detailed derivation for determining the penalty to minimize the risks and also to determine the decision rule based on the likelihood ratio are presented. Two special cases regarding minimizing the risk are also discussed in this lecture. Video Index: 00:00 - A Quick Recap of Bayesian Classification 11:40 - Minimization of the Average Risk Derivation 18:50 - Deriving Decision Rule based on Likelihood Ratio 26:35 - Special Case 1 30:25 - Special Case 2