| SEER | Surveillance, Epidemiology, and End Results |
| GLM | General linear model |
| XGB | Extreme gradient boosting |
| ANN | Artificial neural network |
| SMOTE | Synthetic minority oversampling technique |
| RSLSMOTE | Relocating safe level SMOTE |
| BLSMOTE | Borderline SMOTE |
| ADASYN | Adaptive synthetic sampling |
| MWMOTE | Majority weighted minority oversampling technique |
| LASSO | Least absolute shrinkage and selection operator |
| RF | Random forest |
| WHO | World Health Organization |
| BDP | Bidirectional data partitioning |
| RNN | Recurrent neural network |
| CNN | Convolutional neural network |
| GBM | Gradient boosting machine |
| LR | Logistic regression |
| GLM | Generalized linear model |
| EV | Ensemble voting |
| MLP | Multilayer perceptron |
| BA | Bagging |
| DA | Dagging |
| ADB | AdaBoost |
| BOO | Boosting |
| RS | Random subspace |
| DS | Decision stump |
| SMO | Sequential minimal optimization |
| BN | Bayes Net |
| MBC | Model-based clustering |
| SOM | Self-ordering map |
| HC | Hierarchical clustering |