15:30 - 16:45 OR 3.30 pm-4.45 pm, in old money
1320 Digital Computer Laboratory
Mariya Vasileva firstname.lastname@example.org
Sili Hui email@example.com
Daeyun Shin firstname.lastname@example.org
Ayush Jain email@example.com
Ayush Fri - 14h00-16h00 or 2-4 pm, location: in front of 3304
Daeyun Thu - 11h00-13h00 or 11 am-1 pm location: 0207 Siebel/p>
Mariya Wed - 15h00-17h00 or 3 - 5 pm location: 0207 Siebel
Sili Thur - 12h00-14h00 or 12 - 2 pm location: 0207 Siebel
DAF Mon - 14h00-15h00, Fri - 14h00-15h00
or swing by my office (3310 Siebel) and see if I'm busy
Evaluation is by: Homeworks and take home final.
I will shortly post a policy on collaboration and plagiarism
This homework is for remission of sins, etc. or in case you enjoy these things. It's not required, but if you did poorly in an early homework and well in this one, I'll use that in putting your grade together. You should do this homework in groups of up to three; details of how to submit have been posted on piazza. You can use any programming language you care to, but I think you'll prefer R because it has tools for this (lm and glmnet).
Details and description subject to minor changes
AUC: is one standard measure of classification performance, reported by glmnet; look this up here , but the key phrase is "When using normalized units, the area under the curve (often referred to as simply the AUC, or AUROC) is equal to the probability that a classifier will rank a randomly chosen positive instance higher than a randomly chosen negative one (assuming 'positive' ranks higher than 'negative')."