When building a predictive model, what is the goal of the training phase?

To adjust training methods from backpropagation to supervised learning to see how that affects outputs

To adjust the model based on a subset of data, optimizing for a lower error rate

To specify the type of algorithm the model should use and make sure the data is cleaned$/$formatted

To use the model in real$-$world scenarios, monitoring performance

When building a predictive model, what is the goal of the deployment phase?

To use the model in real$-$life predictions, monitoring the error rate and accuracy

To plug in $40\%$ of your dataset, testing the model's accuracy

To specify the type of algorithm the model should use and make sure the data is cleaned$/$formatted

To get the model to accept new inputs, train, and repeat training until it finds a better curve