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 ...
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 ...
Nature

455 Classification Tree Applied to Neonatal Mortality

Objective: The aim of this study was to establish a statistical model for prediction neonatal deaths. Methods: A case-control study was carried out in the State of Maranhao, Northeast Brazil. The ...
CU Boulder News & Events

Classification and Regression Trees (CART)

Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used in ...