Visual Studio Magazine

Random Forest Regression and Bagging Regression Using C#

A machine learning random forest regression system predicts a single numeric value. A random forest is an ensemble (collection) of simple decision tree regressors that have been trained on different ...
Nature

Predicting attention-deficit/hyperactivity disorder severity from psychosocial stress and stress-response genes: a random forest regression approach

Attention-deficit/hyperactivity disorder (ADHD) results in the majority of cases from numerous common genetic and environmental factors with mostly small effects. 1 ...
JSTOR Daily

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

Many scientific and engineering challenges—ranging from personalized medicine to customized marketing recommendations—require an understanding of treatment effect heterogeneity. In this article, we ...
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 ...

Breakthrough in AI-Powered Insurance Fraud Detection: New Study Shows Hybrid Models Cut Losses and Boost Accuracy

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...
Visual Studio Magazine

Random Forest Regression and Bagging Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...