Summary of evaluation results for predicting non-RCTs with a heuristic model, three conventional machine learning models (LR, SVM, and GB), a neural networks model (CNN), and three BERT-based models (BERT, BioBERT, and SciBERT) for using (a) title, (b) abstract, and (c) combined title and abstract as input data.
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https://figshare.com/articles/dataset/Summary_of_evaluation_results_for_predicting_non-RCTs_with_a_heuristic_model_three_conventional_machine_learning_models_LR_SVM_and_GB_a_neural_networks_model_CNN_and_three_BERT-based_models_BERT_BioBERT_and_SciBERT_for_using_a_title_b_abstr/22334315
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资源简介：
Bold indicates the best performance results among all the models. LR: Logistic Regression, SVM: Support Vector Machines, GB: Gradient Boosting, CNN: Convolutional Neural Networks.
创建时间：
2023-03-24
