Comparison of performance metrics across various methods. Abbreviations: CNN = convolutional neural network, OM = One Match, AE = autodidactic enhancement, PLCs = patient-level classifications, Acc = Accuracy, Sens = Sensitivity, Spec = Specificity, Prec = Precision, F1 = F1-score, AUROC = Area Under the Receiver Operating Characteristic Curve. Note: AUROC for OM is an estimated measure best used for comparison between OM variants, comparisons to the CNN are included here for completeness.
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https://figshare.com/articles/dataset/Comparison_of_performance_metrics_across_various_methods_Abbreviations_CNN_convolutional_neural_network_OM_One_Match_AE_autodidactic_enhancement_PLCs_patient-level_classifications_Acc_Accuracy_Sens_Sensitivity_Spec_Specificity_Prec_Precisio/29272839
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Comparison of performance metrics across various methods. Abbreviations: CNN = convolutional neural network, OM = One Match, AE = autodidactic enhancement, PLCs = patient-level classifications, Acc = Accuracy, Sens = Sensitivity, Spec = Specificity, Prec = Precision, F1 = F1-score, AUROC = Area Under the Receiver Operating Characteristic Curve. Note: AUROC for OM is an estimated measure best used for comparison between OM variants, comparisons to the CNN are included here for completeness.
创建时间：
2025-06-09
