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 ...

The Data Science Lab 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 ...

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 ...

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 ...

Journal of Vegetation Science, Vol. 14, No. 5 (Oct., 2003), pp. 669-680 (12 pages) Statistical models of the realized niche of species are increasingly used, but systematic comparisons of alternative ...

Data analytics (DA) is a science that combines data mining, machine learning, and statistics. DA examines raw data with the purpose of discovering useful information, suggesting conclusions, and ...

Several state-of-the-art binary classification techniques are experimentally evaluated in the context of expert automobile insurance claim fraud detection. The predictive power of logistic regression, ...

Clinical Calculator for Predicting Freedom From Recurrence After Resection of Stage I-III Colon Cancer in Patients With Microsatellite Instability Systemic therapy with atezolizumab and bevacizumab ...