Full model | Backward stepwise regression | ENET without cross-validation | ENET with cross-validation | |
Akaike information criterion (AIC) | 666.6 | 665.23 | 662.31 | – |
Bayesian information criterion (BIC) | 909 | 793 | 750 | – |
Log likelihood | −929 | −301.7 | −298.0 | −46.65 |
For AIC and BIC, lower values are indicative of better model performance while for log likelihood, a larger number is indicative of better model performance.
Calculation of AIC and BIC is not possible with ENET with cross-validation.