$\backslash$geoquad Understand the data set and program a decision tree on it $($any programming language is OK$)\backslash$geoquad Randomly select $20\%,40\%,60\%,$ and $80\%$ as your training set, and the rest are your test set. $\backslash$geoquad Repeat $10$ times and average the test results. $\backslash$geoquad Write a short report of your experiment results with your code as an appendix using LATEX. A plot of test accuracy trends should be included. $\backslash$geoquad In the report, you should also discuss your results. $,$ need help creating a decison tree in python lanuage $,$ i will post the training set below i am only have problems with the code mostly $,$ i just need to put the code together using numpy and pandas $,$ i will post what i have for the code but i need the rest of it becsuse i dont know how exactly to fully imply this code thank u very much i would really appreciate it $.$ this is what i prepared already to code $.$ import numpy as np import pandas as pd from sklearn.metrics import confusion$\_$matrix from sklearn.model$\_$selection import train$\_$test$\_$split from sklearn.tree import DecisionTreeClassifier from sklearn.metrics import accuracy$\_$score from sklearn.metrics import classification$\_$report Source: Creator. Marko Bourarec Donor: $2.$ Blaz Zlpan $($Galaz$.$zupar $\text{'}$@g$\text{'}$ ijs.si$)$ Data Set information: cancest structure: CaR onr noreptability $.$ PRICE overell prce $.$ bupirg buying price $.$ rlainl price of the mainterlaries $,$ ComFDRT onmtort $..$ coors rumber of cocrs $..$ persons capacity in lerrins of pereore le carry W$.$ lug$\_$toat the size of luggige anot sadery batimated saferty ox the cer Link$]$l$.$ Because of known underlying cancept sinucture$,$ this da:absse misy be particularly useful for testing consisuctive inductian and structure disoovery metheds. Attribute Information: Class Walues: unacc, aoc, pood, voood