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Results tagged with model-selection
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user 28378
Model selection is a problem of judging which model from some set performs best. Popular methods include $R^2$, AIC and BIC criteria, test sets, and cross-validation. To some extent, feature selection is a subproblem of model selection.
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Accepted
Calibrating time-series simulations
I compared each simulation run to the real data. For each dependent variable of interest, I quantified the relationship using mean squared error. To combine these multi-variate MSE's I used Euclidean …
- 369
2
votes
1
answer
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Calibrating time-series simulations
I am interested in quantifying the similarity between 2 time-series. Can I simply sum the squared values of their differences, ie compare the sum of square residuals?
More specifically, I have some …
- 369