What Is the purpose of the training stage in the ML lifecycle?

The ML application applies a model to the data and tests the effectiveness of that model.

The ML application gathers data and applies an algorithm to prepare the data for use.

The ML algorithm assesses different datasets and selects the best data for use in later stages.

The ML algorithm processes a dataset and learns to perform a task.