| ML abbreviations | |
| ADAB | adaptive boosting model |
| ANN | artificial neural network |
| AR | autoregressive model |
| BI-LSTM | bidirectional long short-term memory network |
| BN | Bayesian network model |
| CATB | categorical boosting model |
| CBR | case-based reasoning |
| CONV-LSTM | convolutional long short term memory network |
| DT | decision tree |
| EBM | explainable boosting machine |
| ENR | elastic net regularization regression |
| GAMS | generalized additive model |
| GAN | generative network |
| GB | gradient boosting model |
| KNN | k-nearest neighbors model |
| LGB | light gradient boosting model |
| LOG-R | logistic regression |
| LR | linear regression |
| LSTM | long short-term memory network |
| MLP | multi-layer perception network |
| NN | neural network |
| ODEs | ordinary differential equations |
| PINNs | physics-informed neural networks |
| RF | random forest |
| RNN | recurrent neural network |
| SEIR | susceptible exposed infected recovered model |
| SVM | support vector machine |
| XGB | extreme gradient boosting model |
| XAI abbreviations | |
| ALE | accumulated local effects |
| CW | connection weights |
| FCA | formal concept analysis |
| ICE | individual conditional expectation |
| IG | integrated gradients |
| LIME | local interpretable model-agnostic explanation |
| MCW | modified connection weights |
| MS | most squares |
| SHAP | Shapley value-based explanation |
| PDP | partial dependence plot |
| PFI | permutation feature importance |
| PGM | probabilistic graphical model |
| VB | Variance-based model |