From the course: Machine Learning in Telecommunication: From Basics to Real-World Cases
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Random forest and how it works
From the course: Machine Learning in Telecommunication: From Basics to Real-World Cases
Random forest and how it works
(gentle music) - [Instructor] Apart from the decision tree, there is one another important algorithm which is widely used is random forest. It's like team of decision trees which are working together, and instead of relying on one single tree, that's what we have seen in decision tree, which might make certain mistakes or reach to overfitting. Random forest builds many trees and takes a majority vote for classification or take average of those different trees for regression. Like consulting 10 doctors instead of one. In this case, the wisdom of crowd approach reduce error and improves the accuracy. For example, who used to watch the (foreign language), or "Who Wants To Be A Millionaire," where there is a audience poll. So audience poll is similar to the example of a random forest, what the majority says, and that's where the random forest works in a similar way. How random forest actually works step by step. It creates multiple data sets by random sampling, It re-sampled the data like…
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