Out-of-bag (OOB) score for Ensemble Classifiers in Sklearn

In the previous video we saw how OOB_Score keeps around 36% of training data for validation.This allows the RandomForestClassifier to be fit and validated whilst being trained.

In this video, I will show you how you can use the oob_score to create better models.

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