What is ensemble learning?

A Combining predictions from multiple models to produce a final prediction that is typically more accurate and robust than any individual model B Using transfer learning to combine knowledge from multiple pre-trained models C Training the same model multiple times with different random seeds and selecting the best one D Training a single very large model on a combination of multiple datasets