Evaluation of machine learning algorithms and structural features for optimal MRI-based diagnostic prediction in psychosis
Table 5
Mean accuracies obtained by classifiers that provide inbuilt multiclass functionality (all but the L0-norm and the support vector classifiers).
Lower and upper limits for the 95% bootstrap confidence intervals are also reported. 0.333 is the expected accuracy when no real predictive power is present.