![[MXML-8-03] Random Forest - [3]: Out-of-Bag (OOB) data, OOB Score, OOB Probability Guide](https://i.ytimg.com/vi/TeEM9u1EU8Q/mqdefault.jpg)
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Last Updated: September 30, 2026
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In this video, we introduce Out-Of-Bag ( Slides can be found here: erwanscornet.github.io/ A full course on machine learning and deep learning is available here: ... All codes are available at github.com/MyDataCafe/ All Class Videos are at youtube.com/mydatacafe We are on ... This video explains how OOB is used to evaluate model performance without separate validation sets. Learn about this ... The RandomForestClassifier is trained using bootstrap aggregation, where each new tree is fit from a bootstrap sample of the ... Out-of-bag (OOB) error, also called out-of-bag estimate, is a method of measuring the prediction error of random forests ... In this video, we talk about Out of Bag Evaluation and how is it useful in machine learning. We also discuss how to tackle the ...
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