Definition: A bagging is a type of data cleaning technique used in machine learning and statistics to remove or reduce the size of datasets. It involves grouping similar observations together into one group, which can then be analyzed independently without losing too much information. The goal of bagging is to reduce the dimensionality of the dataset by creating a model that captures as much structure as possible while still being computationally efficient. This can help improve model performance and accuracy on new data sets. Bagging can also help prevent over