Model maintenance

Get feedback from real-world interactions and redefine the goals for the next iteration of deployment.

Eliminate unnecessary features. Regularly evaluate the effect of removing individual features from a given model, because unimportant features add noise to your feature space. A model's feature space should only contain relevant and important features for the given task.

Over time, as the input data distribution changes, the model's performance may weaken.