10/29 - Train a Model

Front

A model can be trained using multiple iterations of training, each with a different parameter.

Back

True

Front

To best evaluate a model, one should use the same data set used for training.

Back

False

Front

Identifying areas for improvement within a model starts with analyzing the model’s performance to identify

Back

True

Front

Can parameters be changed to remove all bias in an AI model’s data?

Back

False

Front

AI models are used to predict known outcomes

Back

False

Front

If a model is sluggish, it will not work well in real-time situations

Back

True

Front

Part of explainability includes ensuring an AI model complies with regulatory or legal requirements for the data it is using.

Back

True