$2\mathrm{.}2$ How does one use decision trees for making predictions in real$-$world applications,

and what are the mathematical calculations involved in constructing a decision tree

model? Can you explain the step$-$by$-$step process of growing a decision tree, including

the calculation of impurity measures such as Gini index or information gain, and the

use of pruning techniques to improve the model's performance?