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Model accuracy

• When model parameters have been fitted to a dataset

it is important to assess the accuracy of the model.

• The area under the receiver operating characteristic

(ROC) curve indicates how well ‘responders’ are

separated from ‘non-responders’ by the model.

– 0.5-0.7: poor, 0.7-0.9: moderate, 0.9-1: excellent