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Table 2 Machine learning prediction accuracies

From: Using alcohol consumption diary data from an internet intervention for outcome and predictive modeling: a validation and machine learning study

VariablePredicting non-hazardous consumption (n = 290, 55.4%)Predicting lowered AUDIT severity group (n = 269, 51.4%)
NCV average accuracy0.640.48
NCV average ROC0.690.52
RCV sensitivity0.790.63
RCV specificity0.530.44
  1. NCV Nested cross-validation models. RCV repeated cross-validation. ROC Receiver operating characteristics