Selected article for: "test set train and train set"

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_11
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint Exclude members who lose coverage in the next 3 months not due to death. fee-for-service members were included because medical claims histories for other members are not reliably complete. We then excluded all members who had less than 6 months of continuous eligibility prior to 9/30/2016. We also excluded members who lost coverage within 3 months after 9/30/2016, except .....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint Exclude members who lose coverage in the next 3 months not due to death. fee-for-service members were included because medical claims histories for other members are not reliably complete. We then excluded all members who had less than 6 months of continuous eligibility prior to 9/30/2016. We also excluded members who lost coverage within 3 months after 9/30/2016, except for those members who lost coverage due to death. Table 1 below summarizes the population selection. The final dataset is split 80%/20% into train and test sets, with 1,481,654 people in the training set and 369,865 in the test set. The prevalence of the proxy event within the final population was 0.23%.

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