Learning Eligibility in Cancer Clinical Trials using Deep Neural Networks
Table 5: CNN classifier hyper-parameters.
['[BOLD] Hyper-parameter', '[BOLD] Value']
4.2.2 CNN Classifier Results The results obtained when using both Gensim and FastText generated embeddings were studied, and the F1 obtained was similar when using or not using pre-trained word-embeddings. Only the number of dimensions and epochs had a great impact on the performance and the computational cost of the model.