Abstract: A well-known and frequently used machine learning method, the Naive Bayes algorithm has attracted a lot of interest in a number of fields. The Naive Bayes algorithm, along with its benefits, ...

Abstract: In the contemporary era, a growing number of individuals engage with Information and Communication Technology (ICT) tools, witnessing the continuous expansion of technology and its diverse ...

Data presented at HIV Glasgow from the DOLCE study demonstrates our commitment to offering effective 2-drug HIV regimens, for people living with advanced HIV A post-hoc analysis shows the 2-drug ...

Using the Sklearn classifiers: Naive Bayes, Random Forest, Adaboost, Gradient Boost, Logistic Regression and Decision Tree good success rates are observed in a very simple manner. In this work ...

Naive Bayes is a probabilistic machine learning algorithm that can be used to solve a wide range of classification problems. Typical applications include spam filtering, document classification, ...