For example, households can be classified into those that ... Instead of creating a single decision tree, the Random Forest algorithm can create many individual trees from randomly selected subsets of ...

However, it's not a bad idea to normalize the predictors just in case you want to send the data to other regression algorithms that require normalization (for example, k-nearest neighbor regression).

Based on this research, Wei Ran Lab has conducted big data analysis, trained millions of samples, and selected the Random Forest algorithm to identify threats in encrypted communication traffic.

automatic sample selection using Machine Learning (Random Forest) techniques for algorithm training using plant height as a discriminating variable; (iii) automatic classification and generation of ...