👉 Rerunning is a technique used in machine learning to speed up training of models by running them multiple times. This process involves repeating an algorithm or model with different inputs, and then analyzing how well it performs on new data points. Rerunning can be useful for improving accuracy and reducing computational load for larger datasets.