A simple explanation of Naive Bayes Classification [closed]
The accepted answer has many elements of k-NN (k-nearest neighbors), a different algorithm. Both k-NN and NaiveBayes are classification algorithms. Conceptually, k-NN uses the idea of “nearness” to classify new entities. In k-NN ‘nearness’ is modeled with ideas such as Euclidean Distance or Cosine Distance. By contrast, in NaiveBayes, the concept of ‘probability’ is used … Read more