Out-of-sample (60/40 training/testing) root mean-squared error (ORMSE) using a Poisson generalized additive model.
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https://figshare.com/articles/dataset/Out-of-sample_60_40_training_testing_root_mean-squared_error_ORMSE_using_a_Poisson_generalized_additive_model_/12632111
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Values are normalized by the population size of each ZIP Code quartile and then multiplied by 106 to obtain ORMSE per one million residents. The rightmost column gives aggregate ORMSE across all ZIP Codes included in our study area. The quartiles contained: [0-8) (1st quartile), [8-12) (2nd quartile), [12-21) (3rd quartile), and >21 (4th quartile) percent of residents below the poverty line.
创建时间：
2020-07-09
