Grand Forest is a graph-guided Random Forest algorithm, integrating secondary graph-structured data in order guide the feature selection towards interacting features. While it can be used for ...

Our analysis revealed that Random Forest consistently outperformed other models in balancing predictive accuracy and alignment with financial forecasts. Among the tested configurations, the ...

First, Random Forest algorithm is a supervised classification algorithm. We can see it from its name, which is to create a forest by some way and make it random. There is a direct relationship between ...

This mature Machine Learning (ML) algorithm produces an identification accuracy higher than 99%. The resulting Encrypted Communication Analytics (ECA) technology has advantages over traditional ...

Many recent applications deal with data streams, conceptually endless sequences of data records, often arriving at high flow rates. Standard data-mining techniques typically assume that records can be ...

The virus dataset was retrieved from Wikidata. We exploited several graph algorithms to create the taxonomy graph: link prediction, triangle/grouping coefficients, and community detection algorithms.

By properly modifying the training process of standard random forest, our algorithm significantly improves the performance while preserving the ... Citation: Gu L, Zhang X, You S, Zhao S, Liu Z and ...