I know that Naive Bayes classifiers can be trained for both categorical and continuous (using a Gaussian distribution) features. I am less certain of how these two classifiers would differ. What does it mean to train for categorical features vs for continuous features?
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Maybe this should help you https://medium.com/analytics-vidhya/use-naive-bayes-algorithm-for-categorical-and-numerical-data-classification-935d90ab273f – Romain Mar 20 '21 at 17:07
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Please consider this answer https://stats.stackexchange.com/questions/218492/how-does-naive-bayes-work-with-continuous-variables to avoid duplications – Rafael Valero Mar 20 '21 at 23:07
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3Does this answer your question? How does Naive Bayes work with continuous variables? – Avraham Dec 22 '21 at 20:45