I was working a project and I was looking into Decision Tree. I hence had to get the real meanings and distinctions between Classification and Regression Trees. I did a search and came across various articles and guides.

However, I found 2 that enhanced my knowledge between the two types of Decision Tree.

1. First was straight to the point explanation and diagrams by Simafore . Simafore provided a straight forwarded explanation which makes the distinction clear. And they further illustrate with diagrams.
2. Second was by the Carnegie Mellon University depart of Statistics. They provided an in-depth explanation into Classification and Regression Trees. The explanation and indepth analyses make you better understand not only the concept but also some basic theories behind them.

These are very good resources you can reach to if you want to clarify for yourself and understand the differences between Classification and Regression Trees and when to use one or the other.

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