Selected article for: "logistic regression and similar model"
Author: Dave DeCaprio; Joseph A Gartner; Thadeus Burgess; Sarthak Kothari; Shaayaan Sayed; Carol J McCall
Title: Building a COVID-19 Vulnerability Index
  • Document date: 2020_3_21
    • ID: 37dadupn_26
    Snippet: We quantify the performance of the CV19 Index using metrics that are standard within the data science community. In particular, we visualize the performance of our model using a receiver operating characteristic graph, see Figure 1 . Additionally, the metrics quantifying the effectiveness of our models are presented in Table 3 . The performance of both gradient boosted tree models are very similar. The ROC curve demonstrates that as the decision .....
    Document: We quantify the performance of the CV19 Index using metrics that are standard within the data science community. In particular, we visualize the performance of our model using a receiver operating characteristic graph, see Figure 1 . Additionally, the metrics quantifying the effectiveness of our models are presented in Table 3 . The performance of both gradient boosted tree models are very similar. The ROC curve demonstrates that as the decision threshold increases, the percentage of the potentially affected population increases at roughly the same rate.The logistic regression model has similar performance at low alert rates. We can see that at a 3% alert rate, the difference in sensitivity is only .02. The performance at higher alert rates experiences a significant performance disadvantage; however, for most interventions this would be at alert rates higher than is practical.

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