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Machine learning (ML) mainly answers such questions as “What?” / “Who?” / “How much?” as well as "What is depicted?" t and so on. The most natural human question that follows is “Why?”. In addition to the black box answer (whether it be boosting or a neural network), we would like to receive the argumentation of this answer. Below is an overview of the interpretation problem.

An ensemble (Multiple Classifier System) is an algorithm that consists of multiple machine learning algorithms, and the process of building an ensemble is called ensemble learning.

Random forest is one of the most amazing machine learning (ML) algorithms invented by Leo Breiman and Adele Cutler back in the last century. It has come down to us in its "original form" (no heuristics have been able to improve it significantly) and is one of the few universal algorithms.