Selected article for: "investigation variable and variable importance"
Author: Miguel B. Araujo; Babak Naimi
Title: Spread of SARS-CoV-2 Coronavirus likely to be constrained by climate
  • Document date: 2020_3_16
    • ID: jjdtuofy_30
    Snippet: Additional model-independent techniques were also implemented to evaluate the relative variable importance. We assessed the relative contribution of variables to explain the distributions of positive cases of SARS-CoV-2 in models using the variable importance (VI) analysis in sdm-R (11) . This method is a randomization procedure that measures the correlation between the predicted values of a model given the original predictors, and predictions of.....
    Document: Additional model-independent techniques were also implemented to evaluate the relative variable importance. We assessed the relative contribution of variables to explain the distributions of positive cases of SARS-CoV-2 in models using the variable importance (VI) analysis in sdm-R (11) . This method is a randomization procedure that measures the correlation between the predicted values of a model given the original predictors, and predictions of the same model but given the perturbed dataset in which the variable under investigation is randomly permutated. If the contribution of a variable to the model is high, then it is expected that the permutation would affect the prediction, and consequently, the correlation is low. Using this approach, '1 -correlation' is considered as a measure of variable importance (57) .

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