Performance comparison of eight cases for cluster age prediction, using the full range of cluster ages (log(age) from 6.0 to 10.0). Case 1 includes unmasked cutouts in all five HST filters and provides the maximum information on cluster color, morphology, and environment, as reported in Section 3.2 and Figure 2. Case 2 uses a stacked white-light image, retaining only morphology and environment. Cases 3 and 4 use the stacked image with the environment removed using 24 and 12 pixel diameter outer masks, respectively, thereby focusing the model on the cluster light. Cases 5 and 6 apply the mask inverse, masking out the cluster center with 12 and 24 pixel diameters, respectively, thereby focusing the model on the environment, as reported in Section 5.1 and Figure 3. Case 7 uses the same outside 24 pixel environment input as Case 6, but with randomized reference ages during training and validation. This prevents the network from learning any physically meaningful correlations, causing it to converge to predictions near the mean age of the training set and to exhibit performance comparable to the null baseline. Case 8 shows the performance of the null predictor, providing a lower bound for comparison. The bars show the mean scatter (dex) of log(age), which is adopted as the performance metric. Each case is based on five independently trained CNN models, with error bars showing variability across models. All results refer to the test set.