General naive Bayes classification is a classical machine learning technique to predict a discrete value. There are several variations of naive Bayes (NB) including Categorical NB, Bernoulli NB, ...

Various machine learning models include Naive Bayes, KNN, Random Forest, Boosting, AdaBoot, Linear Regression, and more. However, the model you must pick depends on the situation or the project ...

Naive Bayes classification can handle such data in many, but not all, problem scenarios. The demo program performs binary classification. Although you can use any encoding scheme you wish for the ...

During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...