Improving a model

12 questions

1. A machine learning model can make incorrect predictions if the training data has ___.
2. A model’s ___ score tells us how likely the model’s prediction is correct.
3. Match the problem with its potential cause in machine learning.
4. A classifier learns by analysing ___ between samples and grouping them into classes.
5. What is one way to improve a machine learning model’s accuracy?
6. Which of the following best describes an outlier in a data set?
7. What is the main benefit of training an AI model on diverse data?
8. Cleaning data enhances the ___ of a machine learning model.
9. Match the following terms with their descriptions.
10. What is an outlier in data?
11. Adding a null class helps prevent ___ in machine learning models
12. Why is it important to include data from people with different movement styles when training a model to classify movements?

License: OGL