Now, heavy regularization is performed only on the $1$ parameter, i$.$e$.,$ we minimize L$1($$)=($$,$ Dtrain$)+$ $21$ Show a decision boundary that possibly would correspond to $$w$.$ How many datapoints are wrongly classified on the training data? $($d$)$ Finally, heavy regularization is done only on the w$2$ parameter. Show a decision boundary that possibly would correspond to $$w$.$ How many datapoints are wrongly classified on the training data?