Objective: To determine whether classification tree techniques used on survey data collected at enrollment from older adults in a Medicare HMO could predict the likelihood of an individual being in a ...
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 ...
Evolutionary algorithms have emerged as a robust alternative to traditional greedy approaches for decision tree induction. By mimicking the natural selection process, these algorithms iterate over a ...
Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to predict the species of a wheat seed based on seven predictor variables such as seed length, width and perimeter. The ...
A new classification tree offers a practical alternative for evaluating esophagogastric junction outflow disorders when more ...
The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables. "Jump ...
Machine learning (ML) opens new opportunities for advancing the classification of traumatic brain injury (TBI). Effectively classifying TBI cases remains a challenge due to the complexity of cognitive ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback