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Results tagged with model-selection
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user 78974
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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Proper use of model inference (AIC) (Burnham and Anderson) - when to explore more models
I am starting an analysis, for which I have a binomial response variable (species relative abundance) and continuous predictors (habitat variables). I have done some data exploration, and there is rea …
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