A new paper published in Nature Communications reveals how the way tree species are arranged in a forest can help optimize ...

Random Forest is a sophisticated machine learning method that employs multiple decision trees to make predictions. By utilizing a random subset of features for each tree, it enhances prediction ...

For the application in medicine, Random Forest algorithm can be used to both identify the correct combination of components in medicine, and to identify diseases by analyzing the patient’s medical ...

Random Forest is a supervised machine learning algorithm which is based on ensemble learning. In this project, I build two Random Forest Classifier models to predict the safety of the car, one with 10 ...