Visual Studio Magazine

Binary 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 binary classification problem is one where the goal is to predict the value ...
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 ...
Investopedia

How to Use a Tree Diagram for Probability and Decision-Making

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
ascopubs.org

Predictive Factors of Chemotherapy-Induced Peripheral Neuropathy in Breast Cancer: A Decision Tree Model Approach

Discordance Between the Initial Diagnosis of Sarcomas and Subsequent Histopathological Revision and Molecular Analyses in a Sarcoma Reference Center in Brazil In this prospective study of 170 patients ...
Visual Studio Magazine

Binary Classification Using a scikit Decision Tree

Binary Classification Using a scikit Decision Tree Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily ...