Naive Bayes methods are a set of supervised learning algorithms that use Bayes’ theorem with the “naive” assumption of conditional independence between every pair of features given the value of the ...

The Naive Bayes classifier algorithm is a probabilistic machine learning algorithm that is based on Bayes' theorem. It assumes that all features are independent of each other, hence the term "naive." ...

In people's daily lives, many things happen such as work, school, and business to buy and sell. In carrying out their activities, the community uses the goods they need and later these community ...

Because of this, early and true diagnosis is an important issue and plays a key role to cure this disease. In the work, Gaussian Naive Bayes algorithm is used for classification cancer. The algorithm ...

This study rigorously assessed the performance of five distinct machine learning classifiers Random Forest (RF), Gradient Boosted Trees (GBT), Classification and Regression Trees (CART), Support ...