Selected article for: "mean decrease and test dataset"
Author: Jit Sarkar; Partha Chakrabarti
Title: A Machine Learning Model Reveals Older Age and Delayed Hospitalization as Predictors of Mortality in Patients with COVID-19
  • Document date: 2020_3_30
    • ID: 0agldesf_9
    Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.25.20043331 doi: medRxiv preprint (AUROC) curve during validation on the test dataset. The AUROC on the test dataset was found to be 0.97. Age was the most important variable in the model for predicting the fate which was interestingly followed by the time gap between the onset of symptoms and hospitalization. The importance of the variab.....
    Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.25.20043331 doi: medRxiv preprint (AUROC) curve during validation on the test dataset. The AUROC on the test dataset was found to be 0.97. Age was the most important variable in the model for predicting the fate which was interestingly followed by the time gap between the onset of symptoms and hospitalization. The importance of the variables in terms of Mean Decrease in Accuracy and Mean Decrease in Gini are graphically shown in Figure 2 (A, B) .

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