Iris dataset in Scikit$-$learn library has $150$ samples from three Iris species: Setosa, Versicolour,

and Virginica. You need to conduct an experiment to show how well support vector machine

$($SVM$)$ and decision tree $($DT$)$ algorithms can classify the three iris species. In your experiment,

use $50$ percent data for training and $50$ percent data for testing. In your answer script add: $($a$)$

results $($accuracy of SVM and DT$),($b$)$ discussion of the results, $($c$)$ screenshot of program

output, $($d$)$ source code $(.$py file$).$

Note: You should use Scikit$-$learn.