However, decision tree regression is extremely sensitive to changes in the training data, and it is susceptible to model overfitting. A good way to see where this article is headed is to take a look ...

Regression trees are a type of predictive model used when you want to estimate a numerical value, like a specific price, temperature, or score. Instead of predicting categories, they predict numbers.

This case study evaluates modelling relationships between the combination of decision variables and uncertain factors. There are 6 uncertain factors that influence water quality varying within a ...

The demo program creates a decision tree regression model where the tree has seven nodes. After the tree is created, the demo program computes the model accuracy on the training data as 0.9000 (9 out ...