Analogy: To understand the reasoning, let us take an analogy of estimating a biased coin parameter. A coin has one parameter which is the probability of predicting head or tail. Suppose it is given that the coin is biased with 51% chances of coming up with heads. For first few tosses, say in order of 10s,…

## Why does ensemble methods have better chances of giving a better model than an individual model ?

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