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. 2021 Aug 2;6:683400. doi: 10.3389/frma.2021.683400

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