Given a general problem xi$(i=1,2,$dotsN of $m$ dimensional features labeled as $L$

number of classes, you are quested to design an SVM solution for classification

task. You need to draw a figure to show how you design the classifier:

How you plan to use the data given? Such training, validation and test set?

What are the key parameters in SVM you need to tune?

What is your plan to achieve the optimized solution?

How are you going to test the robustness of your model? additionally, In the $m$ dimensional features, how you going

to select the most "Powerful" features?