mirror of
https://asciireactor.com/otho/cs-5821.git
synced 2024-11-21 19:05:06 +00:00
26 lines
600 B
Plaintext
26 lines
600 B
Plaintext
1
|
|
|
|
|
|
2
|
|
know linear regression very well
|
|
|
|
3
|
|
make sure you know R^2 and RSE and so on statistics
|
|
|
|
MSE, is this related to something called D^2? might have misheard the prof with that one.
|
|
|
|
|
|
|
|
4
|
|
given some data set: what method to use?
|
|
quantitative or qualitative? --> then what method specifically? need to explain why to choose this method. bias-variance tradeoff; will the bias be high or low, and why?
|
|
|
|
5
|
|
bootstraps, cross-examination
|
|
6
|
|
uneven classes (look at for example LDA on Credit Data)
|
|
|
|
7
|
|
PCR and PCA is very useful but probably less important for the exam
|
|
|