HI Q1. Can you please explain me how SVM will do classification if i have more then 2 features in my data set..?(AS per my understanding each record of feature will be assign in each coordinate ) EG: i have features as SAL,EXP,AGE,RAT and i want to classify their position depending on this like(Associate,Senior Associate...etc) i want to know how it will classify by considering all these features Q2. How can i classify items into multiple categories in SVM (generally we will classify it into 2 categories) Q3. How can i introducing additional feature in SVM (i know we can do it by using kernel function but some times formula are using so i just want to know difference b/w formulas and kernel types(Linear,polynomial)...?