A decision tree classifier is a machine learning (ML) prediction system that generates rules such as "IF income < 28.0 AND education >= 14.0 THEN politicalParty = 2." Using a decision tree classifier ...

After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now ...

Malware incidents cost organizations and industries billions of dollars every year. In a 2012 worldwide survey on the financial impacts of malware, more than 2,600 business leaders and IT security ...

What is a Decision Tree? A decision tree is a visual and logical model used to guide decision-making or make predictions. It breaks down complex problems into a sequence of simpler choices. Each point ...

When considering a decision tree for the purpose of classification, accuracy is usually the sole performance measure used in the construction process. In this paper, we introduce the idea of combining ...

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 ...

传统疾病分类模型存在决策过程缺乏透明度、未考虑误诊临床意义等问题。研究人员开展基于分层原型决策树（HPDT）的皮肤病变分类研究。结果显示 HPDT 在多方面优于现有方法，为临床决策支持提供了新途径。 在医疗影像诊断领域，随着深度学习的发展和大量 ...