Shapley values from a Gaussian process regression rank income, workforce, HIV testing, unemployment, and population as the most influential socio-economic predictors of tuberculosis infection rates, but the regression only matches 10 of 87 Russian regions within 10 percent error.
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Feature importance of socio-economic parameters in Tuberculosis modeling
Shapley values from a Gaussian process regression rank income, workforce, HIV testing, unemployment, and population as the most influential socio-economic predictors of tuberculosis infection rates, but the regression only matches 10 of 87 Russian regions within 10 percent error.