A simple explanation of Naive Bayes Classification

2024-09-23 | code | algorithm, machine-learning, dataset, classification, naivebayes

问题描述

This question does not appear to be about programming within the scope defined in the help center.Closed 2 years ago.I am finding it hard to understand the process of Naive Bayes, and I was wondering if someone could explain it with a simple step by step process in English. I understand it takes comparisons by times occurred as a probability, but I have no idea how the training data is related to the actual dataset.Please give me an explanation of what role the training set plays. I am giving a very simple example for fruits here, like banana for example

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