What is a ‘random forest’?

Discover how random forests, a machine-learning technique, enhance prediction accuracy by combining insights from multiple ...
JSTOR Daily

Introduction of Random Forest Classifier to ZigBee Device Network Authentication Using RF-DNA Fingerprinting

The decentralized architecture of ZigBee ad-hoc networks creates unique security challenges to ensure only authentic devices are granted network access. Non-parametric Random Forest (RndF) and ...
Open Heart

Development and validation of a 10-year predictive model for cardiovascular and metabolic disease risk: insights from a large-scale health examination cohort

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
Nature

Tumor classification by tissue microarray profiling: random forest clustering applied to renal cell carcinoma

The identification of cancer classes has traditionally been based on histomorphology. Recently, DNA microarrays have been used successfully to automatically discover cancer classes through clustering ...
Hackaday

Training Bats In The Random Forest With The Confusion Matrix

When exploring the realm of Machine Learning, it’s always nice to have some real and interesting data to work with. That’s where the bats come in – they’re fascinating animals that emit very ...