Q$24.$ Suppose we build lasso$-$regularized multiple linear regression models with $5$ different regularization strengths $=0,0\mathrm{.}5,1,5,10.$ The coefficient estimates for each value of $($not necessarily in the order $0,0\mathrm{.}5,1,5,10)$ are presented below. Match the columns $($such as column$-1,$ column$-2$ etc.$)$ with the appropriate value of $$ that was used to generate them using brief reasoning. How many features are selected for each value of $?$

$\backslash$table$[[,$Corumin$-1,$corumin$-2,$Column$-3,$Column$-4,$Column$-5],[$Intercept$),152\mathrm{.}13348,152\mathrm{.}133484,152\mathrm{.}13348,152\mathrm{.}13348,152\mathrm{.}13348],[$age$,0\mathrm{.}00000,-9\mathrm{.}220679,0\mathrm{.}00000,0\mathrm{.}00000,0\mathrm{.}00000],[$sex$,-45\mathrm{.}33073,-239\mathrm{.}063410,0\mathrm{.}00000,-216\mathrm{.}37087,-195\mathrm{.}89915],[$bmi$,509\mathrm{.}05205,520\mathrm{.}458638,475\mathrm{.}05616,525\mathrm{.}07891,522\mathrm{.}05142],[$map$,217\mathrm{.}20387,323\mathrm{.}616100,143\mathrm{.}00109,308\mathrm{.}30260,296\mathrm{.}18834],[$tc$,0\mathrm{.}00000,-716\mathrm{.}483385,0\mathrm{.}00000,-160\mathrm{.}95983,-101\mathrm{.}86185],[$Idl$,0\mathrm{.}00000,418\mathrm{.}448411,0\mathrm{.}00000,0\mathrm{.}00000,0\mathrm{.}00000],[$hdil$,-147\mathrm{.}73675,65\mathrm{.}386847,-64\mathrm{.}94719,-180\mathrm{.}46193,-223\mathrm{.}22347],[$tch$,0\mathrm{.}00000,164\mathrm{.}562823,0\mathrm{.}00000,66\mathrm{.}10354,0\mathrm{.}00000]]$