Ensembling and Random Forest Part 1 |  Intuition Building with Concordet's Theorem | GreyAtom
Channel: GreyAtom EduTech
Date: 2019-07-19

Ensembling and Random Forest Description

Ensemble learning, in general, means making a prediction by combining the predictions of different individual models. In this way, the ensemble model tends to be more flexible (less bias) and less data-sensitive (less variance).

Random forest is an ensemble model using bagging as the ensemble method and decision tree as the individual model.

Intuition building with Concordet's Theorem

Condorcet's jury theorem is a political science theorem about the relative probability of a given group of individuals arriving at a correct decision. The theorem was first expressed by the Marquis de Condorcet in his 1785 work Essay on the Application of Analysis to the Probability of Majority Decisions.

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