Explain bagging

[priyanka-gaikwad-9f6e5281 (Priyanka Gaikwad)]

Bagging

[ruble-joseph]

Bagging, or Bootstrap Aggregating, is an ensemble method in which the dataset is first divided into multiple subsets through resampling.

Then, each subset is used to train a model, and the final predictions are made through voting or averaging the component models.

Bagging is performed in parallel.