Figure illustrates a normalized confusion matrix derived from the BACE1-ML model. The data indicates that 83% of inactive compounds are correctly identified as such, while 94% of active compounds are correctly classified as active. Conversely, only 17% of inactive compounds are incorrectly classified as actives, and a minimal 0.55% of active compounds are erroneously classified as inactive. This matrix provides a quantitative overview of the model's classification performance, highlighting its ability to correctly identify both positive and negative instances, as well as its misclassification rates.