Evaluated the trained baseline CNN on all 10,000 unseen CIFAR-10 test images. The model reached 72.24% test accuracy with 78.12% mean confidence. Correct predictions had 84.34% average confidence, while incorrect predictions still had 61.93%, which gives me the first clean baseline for investigating overconfidence under distribution shift. Next, I’ll introduce controlled image shifts and compare how accuracy and confidence change.