Predictive performance metrics for classification tree and random forest model.
收藏Figshare2019-11-26 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Predictive_performance_metrics_for_classification_tree_and_random_forest_model_/11225933
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资源简介：
Sensitivity, specificity, NPV (proportion of ‘nonsevere’ predictions that correctly matched literature rating), TSS (sensitivity + specificity − 1), and AUROC for predictive model methods applied to predict virulence of viruses within the test set. Random forest diagnostics indicate mean values across 200 training/test partitions. Supporting data are available via figshare: 10.6084/m9.figshare.7406441.v3 (https://figshare.com/articles/Data_and_supporting_R_script_for_Tissue_Tropism_and_Transmission_Ecology_Predict_Virulence_of_Human_RNA_Viruses/7406441/3).
创建时间：
2019-11-26
