Quantzig announced the completion of its recent article that sheds light on the growing importance of data mining in supply chain management.

Naive Bayes Classification: A probabilistic model that applies Bayes’ theorem assuming conditional independence among features, used extensively for its efficiency and interpretability.

Note that it's not useful to encode the class label to predict using one-hot encoding, such as you'd do when using a neural network. Preparing the Prediction There are four steps to prepare a naive ...

Naive Bayes Classification and Crowdsourcing Techniques Publication Trend The graph below shows the total number of publications each year in Naive Bayes Classification and Crowdsourcing Techniques.

In spite of these assumptions, naive Bayes classification often works quite well. Additionally, naive Bayes classification often works well by combining it with a more sophisticated classification ...