deviance Flashcards
1
Q
what does deviance measure
A
lack of fit
2
Q
how can deviance be reduced to 0
A
making the model more complex and estimating values at every data point
3
Q
what is wrong about making models more complex
A
it involves adding more predictors, makes the model less interpretable
4
Q
what does information criterion account for
A
the fitting ability of the model
the complexity of the model
5
Q
information criterion =
A
deviance + penalty for model complexity
6
Q
what is used to assess deviance
A
AIC and BIC
