Visual Studio Magazine

Decision Tree Regression from Scratch Using C#

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex (male or female), age, ...
JSTOR Daily

Towards a common methodology for developing logistic tree mortality models based on ring-width data

Tree mortality is a key process shaping forest dynamics. Thus, there is a growing need for indicators of the likelihood of tree death. During the last decades, an increasing number of tree-ring based ...
Visual Studio Magazine

AdaBoost Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the AdaBoost.R2 algorithm for regression problems (where the goal is to predict a single numeric value). The ...
JSTOR Daily

CART Regression Models for Predicting UV Radiation at the Ground in the Presence of Cloud and Other Environmental Factors

This is a preview. Log in through your library . Abstract ABSTRACT The goal was to build models for predicting ground-level biologically weighted ultraviolet radiation (UV index, shortened to UV here) ...
Insurancenewsnet.com

Reports from University of Minnesota Describe Recent Advances in Health Insurance (Comparison and Analysis of the Effectiveness of Linear Regression, Decision Tree, and Random ...

2024 MAY 10 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Fresh data on health insurance are presented in a new report. According to news originating from the ...
FedScoop

HHS CIO Mathias says tree-based AI models helping to combat Medicare fraud

U.S. Department of Health and Human Service Chief Information Officer Karl Mathias. (Image credit: HHS / Chris Smith). The program has so far helped streamline fraud identification within the more ...
Nasdaq

Equilibrium Valuation Model: A Regression-Based Fundamental Equity Valuation Model

This article ( original research paper) proposes a systematic regression-based fundamental equity valuation model that can potentially be applied in areas such as quantitative finance and machine ...