12. The computer program product of claim 11 , wherein training the machine learning classifier model comprises: finding a hyperplane w such that features are partitioned using maximum separation.
12. The computer program product of claim 11 , wherein training the machine learning classifier model comprises: finding a hyperplane w such that features are partitioned using maximum separation. 13. The computer program product of claim 12 , wherein finding the hyperplane comprises solving the following quadric equation: 
 min 1/2 w T w, 
 s.t.:w.v+b≧ 1,∀ v εnonhotspot, 
 w.v+b≦− 1,∀ v εhotspot, where T is the matrix transpose and b is a constant representing the intercept of the hyperplane with the axes.