Random Forest

Learn about the random forest classification technique. First, we will introduce bootstrap samples and bagging.

Bootstrap

Bootstrap is a statistical technique that is used to estimate a measure from the data. For example, consider that we have to calculate the mean of a large sample of data. We can estimate the mean by:

  • Collecting small subsamples of the data.
  • Calculating mean of each subsample.
  • Calculating the average of all these means.

This is our estimate towards the mean.

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