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 ...

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data scientists should master both supervised ...