SMO, Random forest and Bayes net algorithms: why does Random forest perform better?
In machine learning, there's often no clear &quot;why&quot; or &quot;reason&quot; we can point to.  These are different methods, which implicitly embed different biases or different priors or different assumptions, and thus will work better in different situations.