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The naive Bayes classifier is a Bayesian theory-based probability classification method used to handle multiclass classification problems. .
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  • The naive-Bayes method has been used in slope failure predictions and provided successful results (Bhargavi and Jyothi 2009; Lin et al.
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    To clarify some confusion, “decisions” and “classes” are simply jargon used in different areas but are essentially the same.

  • 2/08/2021 Introduction to Data Mining, 2 nd Edition 13 Example of Naïve Bayes Classifier X (Refund No,Divorced,Income 120K) • P(X | No) = P(Refund=No | No) P(Divorced | No) P(Income=120K | No) = 4/7 1/7 0.
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  • Mar 31, 2021 · The Naive Bayes algorithm assumes that all the features are independent of each other or in other words all the features are unrelated.
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    Naïve Bayes is a supervised classifier based on the naïve Bayes theorem, which is used to solve classification problems based on a determined number of.

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