Implementing decision tree regression from scratch is not simple, but by doing so you can modify the system to handle unusual problem scenarios, and you can easily integrate the prediction system into ...

But there is also some empirical work comparing various algorithms across many datasets and drawing some conclusions, what types of problems tend to do better with trees vs logistic regression. My ...

How Are Decision Trees Used In Business Analytics? You can use decision trees to make two different types of predictions based on classification (grouping and typing) or regression (weighing and ...

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 ...

For more information on this research see: Comparison and Analysis of the Effectiveness of Linear Regression, Decision Tree, and Random Forest Models for Health Insurance Premium Forecasting.