Nature

Enhancing seasonal fire predictions with hybrid dynamical and random forest models

This study presents an innovative approach to forecasting seasonal anomalies in burned areas (BA) by integrating process-based seasonal prediction and a random forest climate-fire model. The ...
Visual Studio Magazine

Random Forest Regression Using C#

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...
Nature

Competing risk and random survival forest models for predicting survival in post-resection elderly stage I–III colorectal cancer patients

Elderly patients with colorectal cancer (CRC) face an elevated risk of cardiovascular and cerebrovascular death (CVD), yet few studies have explicitly addressed CVD as a competing risk event.
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 ...