Use Perl to implement the ID3 algorithm from the png file I have uploaded. You will train and test your algorithm on three different data sets which I have upload too.
There are some missing value in some datasets, you should deal with it. I have uploaded a pdf file which contains the information you need. (3.7.4 is talking about "Handling Training Examples with Missing Attribute Values.")
Let A1, A2, and A3 be the three sample sets. From each Ai, randomly select 45 instances, put these 45 instances in the Bi, the test data for sample i. Afterward, the rest of Ai(has been removed 45 instances) becaome Ci which is the training data.
Use Ci to train a decision tree with your ID3 implementation, and test that tree on Bi.
Please design and create a unique PERL code by your [url removed, login to view] Perl code should be able to predict the target_attributes in each of data set([url removed, login to view](Class,last columns in data_file), [url removed, login to view](Class), [url removed, login to view](Class)).
Pleas make step notes in the Perl code, help us to understand each step.
Should be easy for pro. who like you. Thank you so much.
Whether you willing to take this project or not, please REPLY ME BY EMAIL ASAP.
EMAIL: windcity123@[url removed, login to view]