Given the following table, calculate the Mean Absolute Deviation $($MAD$),$ Mean Squared Error $($MSE$)$ and Mean Absolute Percentage Error $($MAPE$)$

$\backslash$table$[[$Institutional Sectors,$\backslash$table$[[$GDP $2022],[($Actual$)]],\backslash$table$[[$Forecast$],[$method $1]],\backslash$table$[[$Forecast$],[$method $2]]],[$Oil Sector,$15\mathrm{.}31,16\mathrm{.}2,15\mathrm{.}23],[$Non$-$Oil Sector,$5\mathrm{.}29,6\mathrm{.}37,6\mathrm{.}05],[$Government Sector,$4\mathrm{.}44,5\mathrm{.}82,4\mathrm{.}85],[$Private Sector,$5\mathrm{.}62,6\mathrm{.}55,6\mathrm{.}22],[$Gross Value Added,$9\mathrm{.}16,10\mathrm{.}12,9\mathrm{.}82],[$Net Taxes on Products,$-3\mathrm{.}84,-3\mathrm{.}05,-2\mathrm{.}74],[$Gross Domestic Product,$8\mathrm{.}68,10\mathrm{.}14,9\mathrm{.}41]]$

$3\mathrm{.}1$ Which one method has the largest deviation $($error$)?$

$3\mathrm{.}2$ Which one method has the best fit?