For the following bivariate classification problem, calculate the error rate for function $1($F$1)$ and function $2($F$2),$ using the 'classify

loss' function with weight factors equal to $1\mathrm{.}0.$ And create a confusion matrix. Which function is more accurate, and why? $[$You should

round up to three decimals for the answers to error rate. Note that F$1$ predicts a fault when $x2>x1$ and F$2$ predicts fault when the

points are above the F$2$ line$].$