Design the following steps for Decision tree classifier using Social$\_$Network$\_$Ads.csv

$\backslash$table$[[$Age$,$EstimatedSalary,Purchased$],[19,19000,0],[35,20000,0],[26,43000,0],[27,57000,0],[19,76000,0],[27,58000,0],[27,84000,0],[32,150000,1]]$

Importing the libraries

Importing the dataset

Splitting the dataset with test size $=25\%$

Feature Scaling $-$ Apply Standard Scalar

Training the model

Predicting a new result for $30,87000$

Print the Confusion Matrix, Classification report