Random Forest — the go-to machine learning algorithm

Credit: thefactmachine.com, CC BY-NC 4.0 license. When it doubt, use Random Forest — the go-to machine learning algorithm that is considered to be one of the most effective and versatile in solving almost any prediction task. Techworld Australia gives a quick rundown of how Random Forest works. Read: Machine learning and predictive modelling 101 Random Forest is a bunch of Decision Trees, each with a random subset of the data (the name gives it away). A Decision Tree first compares the features and calculates which one has the most information gain (most reduction in entropy or most homogenous branches). This determines the root node, or the first node in the tree where the data is split based on an internal threshold (eg. <=). This is applied recursively, continually splitting data…


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