Selected article for: "classification tree and forest model"
Author: Liam Brierley; Amy B. Pedersen; Mark E. J. Woolhouse
Title: Tissue Tropism and Transmission Ecology Predict Virulence of Human RNA Viruses
  • Document date: 2019_3_19
    • ID: e0plqpgb_12
    Snippet: Final classification tree structure predicting virulence. Viruses begin at the top and are model's prediction of disease severity, and the fraction of viruses following that path correctly denotes having a known renal tissue tropism. Plotted model predictive performance for the single classification tree (bold black line) and the 5 7 6 random forest (bold red line) models when applied to the test set. Y axis denotes sensitivity 5 7 7 (or true pos.....
    Document: Final classification tree structure predicting virulence. Viruses begin at the top and are model's prediction of disease severity, and the fraction of viruses following that path correctly denotes having a known renal tissue tropism. Plotted model predictive performance for the single classification tree (bold black line) and the 5 7 6 random forest (bold red line) models when applied to the test set. Y axis denotes sensitivity 5 7 7 (or true positive rate; proportion of viruses rated 'severe' by literature protocol that were 5 7 8 correctly predicted as 'severe' by the model), and X axis denotes 1 -specificity (or false The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It . https://doi.org/10.1101/581512 doi: bioRxiv preprint Tables 6 0 1 Table 1 . Predictive performance metrics for classification tree and random forest 6 0 2 model. The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It . https://doi.org/10.1101/581512 doi: bioRxiv preprint

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