Table 4.

Classification performance evaluated using Analysis 3. 60% of data was used to build classifiers, which was then used to classify the remaining data

FC Class	Accuracya (%)	Sensitivitya (%)	Specificitya (%)	AUCa
Class I	79.5 ± 5.5	86.8 ± 8.9	78.6 ± 9.2	0.74 ± 0.06
Class II	84.5 ± 5.4	85.7 ± 7.9	84.0 ± 7.9	0.81 ± 0.08
Class III	86.2 ± 5.3	85.2 ± 8.0	87.5 ± 8.6	0.83 ± 0.07
Class IV	91.1 ± 4.3	90.0 ± 7.4	92.2 ± 6.5	0. 87 ± 0.07

Mean ± SD of performance measures were calculated over classifications using 30 different partitions of dataset.

Abbreviation: AUC, area under the receiver operating characteristic curve.

^aMeasures are significantly different between any two classes of FC compared, with p < .001.