What is a false negative?

A false result from an algorithm that should have succeeded

- A false result from an algorithm that should be negative
- A negative result that is false
- A false result from an algorithm

What assumption underlies a null hypothesis test?

- that the algorithms return a null result
that there is no performance difference between algorithms

- that the algorithms differ in performance
- that the algorithms don't work

Which test is most appropriate for comparing algorithms' performances?

- Canny's test
- Gauss's test
McNemar's test

- Laplace's test

You are developing a automatic passport system for use by immigration, where pictures of people are compared to those in their passports. Which of the following is the best approach to take?

- maximize the number of true positives
- maximize the number of true positives, even if the false positive rate is high
minimize the number of false positives

- minimize the number of false negatives

What do we do if we want to see if one algorithm's performance is better than another's ?

- Look up the Z-score in two-tailed tables
Look up the Z-score in one-tailed tables

- Look up the Z-score in binomial tables
- Look up the Z-score in Normal distribution tables

What are the axes of a ROC curve?

TP and FP

- FP and FN
- TP and FN
- TP and TN

You are developing software for the Police to show mugshots of suspects to the witness of a crime. Which of the following is the best approach to take?

- minimize the number of false positives
maximize the number of true positives, even if the false positive rate is high

- maximize the number of true positives
- minimize the number of false negatives

What is a false positive?

A true result from an algorithm that is incorrect

- A false result from an algorithm that should be correct
- A false result from an algorithm
- A positive result that is false

When evaluating vision systems, it is normal to:

have different training and test sets

- use the same training and test sets
- train on all data but test on only the test set
- train on the training set and test using both training and test sets

Which corner of a ROC curve indicates the best performance?

- lower right
- upper left
upper left

- upper right