Hello everyone,
I have a data set that looks like the following:
Year Days to the beginning of Year Value
1 30 100
1 60 200
1 .. ...
1 360 ....
2 30 ...
2 60 ...
2 ...
...
2 360 ...
Then I used a linear regression to fit Value ~ Days to the beginning of the
year with a polynomial.
Now I want to use cross-validation to detect over-fitting. But I am not sure
if I want to leave out 1/k random data points or leave out 1/k random years.
What do you think?
Thanks,
Geoffrey
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