What is the Random Forest Model (RFM)?


In Arbimon, the Random Forest Model is a type of machine learning model consisting of multiple decision trees. The RFM module is designed for single-species detection. Using a template of the target sound type, the model can be trained to detect the target sound based on the correlation between the input audio and the template.

Figure: Example of Random Forest Model on RFCx-Arbimon platform. 

Please also check out our video tutorial on the Random Forest Model feature here.