Dr. James McCaffrey of Microsoft Research says the main advantage of using Gaussian naive Bayes classification compared to other techniques like decision trees or neural networks is that you don't ...

Naive Bayes classification remains a cornerstone of machine learning, renowned for its simplicity, efficiency, and interpretability. This probabilistic approach leverages Bayes’ theorem under the ...

Gaussian naive Bayes classification is a classical machine learning technique that can be used to predict a discrete value when the predictor variables are all numeric. For example, you might want to ...

In classification, our goal is to assign each observation in the test dataset to one of a number of pre-specified categories. We do so using information from the observed predictor variables (or ...