In terms of false positive detection, on average MVS-A outperforms all baselines across all metrics (Table ). Regarding true positive detection, on average CatBoost and MVS-A achieve similar performance, while primary readout ranking outperforms all alternatives in terms of precision and BEDROC (Table ). In general, primary readout ranking performs much better as a baseline in these datasets, likely due to less assay noise compared to publicly available data, making the initial HTS screen more predictive of a compound's performance in further validation screens.