Visual Studio Magazine

Multi-Class Classification Using a scikit Decision Tree

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 ...
The American Journal of Managed Care

Risk Classification of Medicare HMO Enrollee Cost Levels Using a Decision-Tree Approach

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 ...
Visual Studio Magazine

How to Create a Machine Learning Decision Tree Classifier Using C#

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 ...

Using Decision Trees in Finance

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

Using classification and regression trees (CART) to support worker decision making

Several approaches can be taken to predict case membership in the classes of a dependent variable. Classification and regression trees (CART) analysis has been cited repeatedly as a powerful ...
ascopubs.org

Transformation of the National Breast Cancer Guideline Into Data-Driven Clinical Decision Trees

Clinical Relevance of Noncoding Adenosine-to-Inosine RNA Editing in Multiple Human Cancers In total, 60 CDTs were necessary to cover the whole guideline and were driven by 114 data items. Data items ...
Investopedia

Using Decision Trees in Finance

David Kindness is a Certified Public Accountant (CPA) and an expert in the fields of financial accounting, corporate and individual tax planning and preparation, and investing and retirement planning.