7. Random Forest in R programming language

Applications in Random Forest


Random forest classifiers have a plethora of applications in the market today. Let’s go ahead and look at a few of them:

  1. In the field of banking, it is used to predict fraudulent customers
  2. Random forests are used to analyze the symptoms of patients and diagnose diseases
  3. In the ecommerce field, recommendation lists help predict purchases based on customer activity 
  4. Analyze stock market trends to predict profit or loss using the random forest algorithm 

Let’s now look at a few of the terms we need to know in order to understand the random forest algorithm. 

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