| AD | Applicability domain |
| AMR | Antimicrobial resistance |
| BEDROC | Boltzmann-enhanced discrimination of receiver operating characteristic |
| CCC | Concordance correlation coefficient |
| CLSI | Clinical and Laboratory Standards Institute |
| ECE | Expected calibration error |
| EF | Enrichment factor |
| EF@1% | Enrichment factor at 1% of the ranked list |
| F0.5 | F-score with β = 0.5, precision-weighted F-measure |
| F1 | F-score with equal weighting of precision and recall |
| FP | False positive |
| IZ | Inhibition-zone |
| MACCS | Molecular ACCess System structural keys |
| MAE | Mean absolute error |
| MCC | Matthews correlation coefficient |
| MIC | Minimum inhibitory concentration |
| PCA | Principal component analysis |
| PPV | Positive predictive value |
| PPV-k | Positive predictive value at fixed top-k list size |
| PPV-25 | Positive predictive value among the top 25 ranked compounds |
| PR | Precision–recall |
| PR-AUC | Precision–recall area under the curve |
| QSAR | Quantitative structure–activity relationship |
| R2 | Coefficient of determination |
| RDKit | Open-source cheminformatics toolkit |
| RMSE | Root mean square error |
| ROC | Receiver operating characteristic |
| ROC-AUC | Receiver operating characteristic area under the curve |
| SAR | Structure–activity relationship |
| SHAP | SHapley Additive exPlanations |
| SMILES | Simplified Molecular Input Line Entry System |
| SVC | Support vector classifier |
| SVM | Support vector machine |
| TP | True positive |
| XGBoost | Extreme gradient boosting |