7. Random Forest in R programming language

Algorithm Features of Random Forest

  • Provides higher accuracy than other algorithms
  • Gives estimates of what variables are important in the classification
  • Handles missing data efficiently, and the generated forests can be saved for future use with other data
  • Computes proximities between pairs of cases that can be used in clustering, locating outliers, or to give interesting views of the data

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