Computer Science 1. Explain why the relationship between model error and complexity differs when patterns are examined using training and test datasets. 2. To the best of your knowledge, distinguish...

1. Explain why the relationship between model error and complexity differs when patterns are examined using training and test datasets.

2. To the best of your knowledge, distinguish between training, testing, and validation datasets. Briefly describe the importance of each in the context of Machine Learning.

3.Talk about the consequences of overfitting and underfitting.