| ACC | Accuracy |
| AD | Applicability domain |
| AutoML | Automated machine learning |
| CAS | Chemical Abstracts Service |
| CATMoS | Collaborative Acute Toxicity Modelling Suite |
| EPA | Environmental Protection Agency |
| EU | European Union |
| FAIR | Findability, Accessibility, Interoperability, and Reusability |
| FN | False negative |
| FP | False positive |
| kNN | k-nearest neighbours |
| LC 50 | Acute inhalation toxicity |
| LD 50 | Acute oral toxicity |
| MCC | Matthews correlation coefficient |
| ML | Machine learning |
| MW | Molecular weight |
| NN | Neural network |
| OECD | Organisation for Economic Co-operation and Development |
| PFASs | Per- and polyfluoroalkyl substances |
| PFHxS | Perfluorohexane sulfonate |
| PFOA | Perfluorooctanoic acid |
| PFOS | Perfluorooctane sulfonate |
| PRE | Precision |
| QMRF | QSAR Model Reporting Format |
| QSAR | Quantitative structure–activity relationship |
| RF | Random forest |
| ROS | Reactive oxygen species |
| SDF | Simple data format |
| SEN | Sensitivity |
| SHAP | SHapley Additive exPlanations |
| SMILES | Simplified molecular input line entry specification |
| SPE | Specificity |
| TEST | Toxicity Estimation Software Tool |
| TN | True negative |
| TP | True positive |
| U.S. | United States |
| WHO | World Health Organization |
| XGBoost | eXtreme Gradient Boosting |