TABLE 2.
Hyperparameters used for training the classifiers.
| Logistic regression and TF-IDF features | Logistic regression and USE embeddings | Linear SVMs and TF-IDF features |
|---|---|---|
| Solver: lbfgs | Embeddings dimension: 512 | Regularization parameter (C): 3 |
| Regularize: L2 nJobs = -1 | Solver: Lbfgs | Kernal: Linear |
| Class weight: Balanced | Regularize: L2 nJobs = -1 | Class weight: Balanced |
| K_Fold = 5 | Class_weight: Weight param as per training sample | |
| K_Fold = 5 |