Title: Quiz Ch 2
Course: Machine Learning Security - Winter WC > Section: Unit 1

Q: A model trains on data with ten values per record, to predict one of those values from the others.  Which type of problem is this?
- Multiple regression
- Univariate regression
- Multivariate regression
- None of these
A: Multiple regression

Q: New data is added every week.  All the data has labels.  What type of learning is best?
- Online supervised
- Online unsupervised
- Batch supervised
- Batch unsupervised
A: Online supervised

Q: What performance measure uses Manhattan distance?
- Mean absolute error
- Root mean square error
- Mean error
- None of these
A: Mean absolute error

Q: What performance measure uses Euclidean norm?
- Root mean square error
- Mean absolute error
- Mean error
- None of these
A: Root mean square error

Q: What method shows the first five rows of data?
- head()
- describe()
- info()
- tail()
A: head()