A common strategy is to use naive Bayes together with a second classification technique such as logistic regression. You perform each classification separately then compute a consensus prediction.

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 ...

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

How likely you think something is to happen depends on what you already believe about the circumstances. That is the simple ...