Practice questions

Questions 1-4 are based on the following use case.

ML case #1

An engineer is training an Amazon SageMaker model to detect as many true malignant tumors (MTs) from MRI images as possible. The model features are shown in Figure 6.18.

Figure 6.18 – Model features: x and y

The initial models were underfitting, so they put in a lot of effort and finally got two models working. Their confusion matrixes are shown in Figure 6.19:

Figure 6.19 – Confusion matrixes for models A and B

1. How should they synthesize the two features, x and y?

A. x*x + y*y

B. x+y

C. x*y

D. x*10 + y*10

2. What is the precision for model B?

A. 74%

B. 84%

C. 18%

D. 50%

3. What may have helped them improve the initial model?

A. Add more features to the model

B. Add L1 regularization

C. Add L2 regularization

D. Increase the learning rate

4. Which of the following statements is...