Q&A Meeting arrangement session week 3

[Pimphen Charoen]

Feel free to leave us questions in the forum below if you can’t make it on the day and we will response them during the session.

[Navinee Kruahong]

I have a question while doing first two assignments and reading some articles about decision tree classification. Actually, I do want to try the data mining techniques that we have learned on a large dataset of mental health and some socioeconomic factors that I have. Base on my best knowledge, if I just want to see a pattern and the association of the clusters that I found, I can use clustering techniques and some statistics and if I want to classify and create a model to predict the mental health issues, I can use a decision tree technique (you guys can help to correct my understanding 555). Decision tree has its way to test the performance of a tree model but when I read article about this method they always compare the performance of their models with other methods such as eXtreme Gradient Boosting, Elastic Net, Quantile Ordinal Regression – LASSO, Linear Regression, Ridge Regression. My question is do I need to compare my tree model with some of these methods?

[Pimwadee Chaovalit]

For the purpose of this course, you do not need to compare your tree model with these methods. Since our main objective here is to learn and practice decision tree, it is all you need. We do not require you to know other methods not covered in the scope of this course.

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