HI All,
I am trying to learn more about Bootstrap Sampling. This is one of the technique used in Random Forest algorithm for example and many other places in statistics.
What and why would this method be used over other methods. This technique select few obs as sample from a population and some of these values could again be selected next time as bootstrap is sampling with replacement.
If we select some of the observations which are repeat the sample is not presenting us the real spread of data, outliers etc.
Please advice.
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