Q$1$: The following dataset is given for the Water Quality analysis, which is used as a training dataset with $n=6$ observations of three input variables of $pH,$ Turbidity $($NTU$)$ and Conductivity $(\frac{S}{c}m)$ with categorical output of Good or Poor quality $[10$ Marks$]$

Determine the best Decision Tree Model for the damage analysis? $[7\mathrm{.}5$ Marks$]$

Using the Decision Tree model, determine whether the water quality of the following test $4\mathrm{.}8,$ Turbidity $=3\mathrm{.}25$ NTU, and Conductivity $=525(\frac{S}{c}m)[2\mathrm{.}5$ Marks$]$

$\backslash$table$[[$No$.,$WQ$,pH,$Turbidity $($NTU$),$Conductivity $(\frac{S}{c}m)$