Random Forests in R


Ensemble Learning is a type of Supervised Learning Technique in which the basic idea is to generate multiple Models on a training dataset and then simply combining(average) their Output Rules or their Hypothesis Hx to generate a Strong Model which performs very well and does not overfits and which balances the Bisa-Variance Tradeoff too.

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