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Naïve Bayes Classifier: Comments

  • Advantages
    • Easy to implement
    • Good results obtained in most of the cases
  • Disadvantages
    • Assumption: class conditional independence, therefore loss of accuracy
    • Practically, dependencies exist among variables
      • E.g., hospitals: patients: Profile: age, family history, etc.
        • Symptoms: fever, cough etc., Disease: lung cancer, diabetes, etc.
      • Dependencies among these cannot be modeled by Naïve Bayes Classifier
  • How to deal with these dependencies? Bayesian Belief Networks 

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