Naive Bayes classification is a classical machine learning technique to predict a discrete value. For example, you might want to predict the sex of a person (female or male) based on their job type, ...

Notice that all the data values are categorical (non-numeric). This is a key characteristic of the naive Bayes classification technique presented in this article . If you have numeric data, such as a ...

In this paper, the authors propose a hybrid system of SMS classification to detect spam or ham, using Naive Bayes classifier and Apriori algorithm. Though this technique is fully logic based ...

1 Laboratory of Food Systems Biotechnology, Institute of Food, Nutrition, and Health, ETH Zürich, Zürich, Switzerland 2 School of Science, University of New South Wales, Canberra, ACT, Australia Naive ...

We will define a function to calculate and return the accuracy. We now have all the data ready to be fitted to the Bayesian classifier. In the below code block we will initialize the Naive Bayes ...

Naive Bayes is a family of algorithms based on applying Bayes theorem with a strong(naive) assumption, that every feature is independent of the others, in order to ...