What is underfitting?

Multiple Choice

When a machine learning model matches the training data so closely that the model fails to make correct predictions on new data.

Occurs when adding additional training examples by transforming existing examples.

The automation of existing manual and paper$-$based processes and workflows to a digital format.

When a machine learning model has poor predictive abilities because it did not learn the complexity in the training data.