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The optimization testing set and the generalization evaluation set. The optimization testing set consists of a randomly selected 20 percent subset of the training data (501 case reports and 3000 sets of synthetic sentences), while the generalization evaluation set is an entirely separate subset from the case report cohort, including 208 case reports and 3000 sets of synthetic sentences. OVO denotes One vs. One macro AUC scores. BERT is the Base Uncased model.

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https://figshare.com/articles/dataset/The_optimization_testing_set_and_the_generalization_evaluation_set_The_optimization_testing_set_consists_of_a_randomly_selected_20_percent_subset_of_the_training_data_501_case_reports_and_3000_sets_of_synthetic_sentences_while_the_generaliz/29463020
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The optimization testing set and the generalization evaluation set. The optimization testing set consists of a randomly selected 20 percent subset of the training data (501 case reports and 3000 sets of synthetic sentences), while the generalization evaluation set is an entirely separate subset from the case report cohort, including 208 case reports and 3000 sets of synthetic sentences. OVO denotes One vs. One macro AUC scores. BERT is the Base Uncased model.
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2025-07-02
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