Table 2. Summary of cross-validation results.

Upper panel shows the percentage of cases in which the bi-exponential model was superior to the exponential model, when both were fit to the training data sets. Lower panel is the percentage of cases in which the bi-exponential model was superior to the exponential model, as determined by lower value of MSE on the testing data set, for each model determined by fitting to the validation data sets.

Percentage of training data sets for which the bi-exponential model fit was better
Cross-validation	According to MSE	According to AIC
1	100 %	100 %
2	100 %	98.2 %
3	100 %	97.9 %
4	100 %	75.3 %
5	100 %	100 %

Percentage of validation data sets for which the bi-exponential model fit was better
Cross-validation	According to MSE
1	53 %
2	79.2 %
3	80.9 %
4	86.5 %
5	100 %