Föreläsningar Flashcards
1
Q
Important when testing models
A
In-sample estimation, and out-of-sample testing
- prevents overfitting in-sample
- checks robustness of model out-of-sample
2
Q
Model adequacy for the logit model
A
-Standard R^2 does not work; there is an alternative pseudo r^2, for example the McFadden-R^2
- Often used diagnostic for model fit
- -Reciever Operating Charcteristics (ROC) curve and the Arena Under the ROC curve (AUROC)
- -Cumulative Accuracy Profiles (CAP curves) and the Accuracy Ratio (AR)