Use the image as a reference. Do these following steps Step $2$: $($Compare six SVM classifiers with polynomial kernel $($kernel$=$'poly'$),$ degrees $[3,5,7],$ and gamma values $[\mathrm{.}3,\mathrm{.}5]$ by drawing a grid of six plots similar to the one you obtained from step $1.$ Step $3$: Compare the following six classifiers by drawing a grid of six plots similar to the one you obtained from step $1$:

$$ linear regression

$$ linearSVC

$$ GaussianNB w$/$ var$\_$smoothing$=2$e$1$

$$ GaussianNB w$/$ var$\_$smoothing$=1$e$1$

$$ GaussianNB w$/$ var$\_$smoothing$=1$e$0$

$$ GaussianNB w$/$ var$\_$smoothing$=1$e$-1$

Step $4$: Compare six variations of SVM classifiers with kernels $[\text{'}$sigmoid$\text{'},\text{'}$rfb$\text{'}],$ and gamma values $[1$e$-1,1$e$0,1$e$2]$ by drawing a grid of six plots similar to the one you obtained from step $1.$

Step $5$: Compare eight variations of neural network MLP classifiers with default alpha $(1$e$-4),$ solvers $[\text{'}$adam$\text{'},\text{'}$lbfgs$\text{'}],$ activation $[\text{'}$logistic$\text{'},$ 'relu'$]$ and layers $[(30,30),(10,5)]$ by drawing a grid of eight plots similar to the one you obtained from step $1.$