The data mining methods we have been learning all favor numerical data: linear regression, LDA, k-means clustering, logistic regression, K-NN, and hierarchical clustering. Naïve Bayes favors categorical data, however. Because of its simplicity, Naïve Bayes data mining method is much more efficient compared to many other data mining methods, while its performance can still match most other data mining methods.
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