Algorithm Showdown: Logistic Regression vs. Random Forest vs. XGBoost on Imbalanced Data - MachineLearningMastery.com
In this article, you will learn how three widely used classifiers behave on class-imbalanced problems and the concrete tactics that make them work in practice.
Source: MachineLearningMastery.com
In this article, you will learn how three widely used classifiers behave on class-imbalanced problems and the concrete tactics that make them work in practice.