After training decision trees against data, the algorithm is then run against new data in a test set. Before algorithm training, a test set is randomly extracted from the original set.

The basic underlying concept is based on a Monte Carlo Tree Search, a decision-making algorithm also used by Google's AlphaZero. Here, Monte Carlo essentially means something random, and tree ...