$($b$)$ Given three figures visualising a given training data $($Figure A$)$ and the decision boundaries learned by the SVM classification algorithm with two different kernels, explain what kernel functions were used for Figures B and C$,$ respectively. Describe the hyper$-$parameter$($s$)$ of those two kernel functions and explain the meaning of those hyper$-$parameter$($s$).$