Chapter 10, Contrastive XAI

1. Contrastive explanations focus on the features with the highest values that lead to a prediction. (True|False)

   False. CEM focuses on the missing features.

2. General practitioners never use contrastive reasoning to evaluate a patient. (True|False)

   False. General practitioners often eliminate symptoms when assessing a patient's condition.

3. Humans reason with contrastive methods. (True|False)

   True.

4. An image cannot be explained with CEM. (True|False)

   False. CEM can use the output of a CNN and an autoencoder to produce explanations.

5. You can explain a tripod using a missing feature of a table. (True|False)

   True. It is the example given by the IBM Research team.

6. A CNN generates good results on the MNIST dataset. (True|False)

   True.

7. A pertinent negative explains how a model makes a prediction with a missing feature. (True|False...