A decision tree classifier is a machine learning (ML) prediction system that generates rules ... isn't quite conceptually accurate because the data isn't used to train a model; in a sense the data is ...

While both models showed remarkable prediction accuracy, decision trees offered an added advantage: interpretability.

A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University of California, Irvine, and an associate member of the Institute of Polar ...

This model was developed out of an earlier ... decision trees and random forests. Decision trees, Lynch explained, are machine learning algorithms that create chains of binary decisions to help ...

You might hear people use artificial intelligence (AI) and machine learning (ML) interchangeably, especially when discussing ...

The Department of Industrial Engineering and Management Sciences is a leader in the science of decision-making in ... as well as the accuracy of the model. The team used that information to develop a ...

Prediction of treatment (tx)-induced fatigue in breast cancer (BC) patients (pts) using machine learning on genome-wide association (GWAS) data in the prospective CANTO cohort. This is an ASCO Meeting ...