validate model averaged predictions

[fpc]

What is the best way to validate or assess the fit of the model averaged coefficients from a multi-model logistic regression? I have 1,800 observations, and 8 covariates. Should I cross validate leaving out a subset of observations? The goal is to make predictions from the model average.

Thanks in advance for your input.