Table A.3.
Best hyperparameters from grid search 5-fold cross-validation during training of the NLP models on the training set partition. Other model hyperparameters were kept as the defaults in sklearn version 0.20.3.
| NLP Model | Hyperparameter | Value |
|---|---|---|
| Logistic Regression | ||
| Medial meniscus | C (regularization) | 0.1 |
| Lateral meniscus | C (regularization) | 0.1 |
| SVM | ||
| Medial meniscus | C (regularization) | 10 |
| Gamma (Kernel coefficient) | 0.001 | |
| Lateral meniscus | C (regularization) | 10 |
| Gamma (Kernel coefficient) | 0.001 | |
| Random Forest | ||
| Medial meniscus | Number of estimators | 1000 |
| Max features | Square root of total number of features | |
| Lateral meniscus | Number of estimators | 1000 |
| Max features | Square root of total number of features |