natural language processing

Grid Search for Email Classification

As continued from the Supervised Classification Post, we have been running grid search on the email classification algorithm varying Gamma and C.  The result are as below. Each column represents a Gamma value and each row represents a C value. The value of the internal grids themselves are error rate percentage for the given value of Continue reading Grid Search for Email Classification