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 ...

A decision tree is a type of supervised learning method that’s composed of a series of tests on a feature. Each node is a test and all of the nodes are organized in a flowchart ... regression trees.

What are the advantages of logistic regression over decision trees? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better ...

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.

A classification and regression tree for patients with an exacerbation of chronic obstructive pulmonary disease appeared to identify a patient’s risk for 30-day or 60-day mortality when admitted ...