Q$.$ After making two classification models, KNN and Decision Tree, write a code comparing the performance of the two models.

$($There are two csv files of "employee$\_$promotion$\_$test" and "employee$\_$promotion$\_$train"$)$

terms $1)$ Must contain comments describing code

terms $2)$ Confusion matrix must be created and performance compared.

terms $3)$ Based on "employee$\_$promotion.csv$",$ separate the training set and validation set in a $7$:$3$ ratio, then compare performance with the validation set.