Due Date: 14 May 2003 6:30pm
Turn-in procedure: Please email email@example.com before
class on 14 May. Any of the Word,Postscript, PDF, HTML, or Plain text
formats should be fine.
Please use the subject "CSEP546: HW2 Submission", and in the text
part of the message include your name and student id.
You can also submit a hardcopy of your work at the beginning of
the class on May 14.
Notes: All homeworks are to be done
- Mitchell - 10.5
- Mitchell - 10.6
- Consider a blood alcohol test to detect drunken drivers.
The test returns positive 99% of the time if the driver is drunk,
and it returns positive 1.5% of the time if the driver is sober.
- If 99 out of 100 drivers are sober, what is the probability
that a driver who tests positive is drunk?
- Suppose that on Saturday nights only 9 out of 10 drivers are sober.
What is the probability that a driver who tests positive on Saturday
night is drunk?
- Consider the following Bayesian network, in which the variables
A, B, C, and D are Boolean:
- Is C independent of A?
- Is C independent of B?
- Is C independent of A given B?
- Is C independent of D?
- Is C independent of D given B?
- Mitchell - 4.1
- Mitchell - 4.2
- What is the result of applying crossover to the strings 00110
and 10111, with crossover mask 11100?
- Which ensemble method is more likely to improve the accuracy
of the naive Bayes classifier: bagging or boosting? Why?