In-Depth: Decision Trees and Random Forests
An in-depth look at decision trees and random forests with scikit-learn.
decision-trees random-forests scikit-learn decision-tree tutorial article code notebook

Random forests are an example of an ensemble method, meaning that it relies on aggregating the results of an ensemble of simpler estimators. The somewhat surprising result with such ensemble methods is that the sum can be greater than the parts: that is, a majority vote among a number of estimators can end up being better than any of the individual estimators doing the voting!

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Python, Astronomy, Data Science
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