A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...

All of the predictor values are between -1 and +1. There are 200 training data items and 40 test items. When using decision trees as the AdaBoost regression learners, it's not necessary to normalize ...

Objective The objective was to examine the 22 variables from the Sport Concussion Assessment Tool’s 5 th Edition (SCAT5) Symptom Evaluation using a decision tree analysis to identify those most likely ...

Decision trees are major components of finance, philosophy, and decision analysis in university classes. Yet, many students ...

A new classification tree offers a practical alternative for evaluating esophagogastric junction outflow disorders when more ...