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Noun
A machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression
“Bootstrap aggregating, also known as bagging, is a widely used ensemble method in machine learning for enhancing the stability and precision of statistical classification and regression algorithms.”