Also to note that there’s a statistical term called Naive Bayes which basically has no assumptions to calculate some things. So basically no assumptions is the best definition
I would actually interpret “naive” in this context as making very strong assumptions. In particular, a strong assumption of independence between variables that likely doesn’t hold, but is good enough for many purposes.
Also to note that there’s a statistical term called Naive Bayes which basically has no assumptions to calculate some things. So basically no assumptions is the best definition
I would actually interpret “naive” in this context as making very strong assumptions. In particular, a strong assumption of independence between variables that likely doesn’t hold, but is good enough for many purposes.