Figure 2From: Infection status outcome, machine learning method and virus type interact to affect the optimised prediction of hepatitis virus immunoassay results from routine pathology laboratory assays in unbalanced dataWeighted importance for leading explanatory variables strongly linked to a positive HBSA immunoassay result. Variable importance was calculated as the number of times a variable appeared in testing phase decision trees, Depth in decision tree weights indicates predictor variables at the top of the tree with the highest importance, with lower nodes contributing a lower weighting based on a lesser hierarchy importance.Back to article page