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. 2021 Jun 9;13(1):e12207. doi: 10.1002/dad2.12207

TABLE 2.

Results of feature selection

Model SP‐ECog CBB N AUC, mean (SD) Sens. Spec. PPV NPV AUC (n = 148), mean (SD)
RF No No 664 0.5871 (0.0641) 64.82% 49.16% 60.97% 53.53% 0.5574 (0.1836)
Yes 361 0.5192 (0.0901) 49.84% 53.34% 50.25% 52.57% 0.5019 (0.1554)
Yes No 264 0.6244 (0.1198) 75.59% 42.22% 70.00% 48.84% 0.5970 (0.1294)
Yes 148 0.5790 (0.1467) 65.37% 44.76% 61.11% 49.00% 0.5708 (0.1734)
SVM No No 664 0.5864 (0.0659) 75.37% 37.44% 59.49% 56.11% 0.4750 * (0.1699)
Yes 361 0.4856 (0.0845) 48.12% 52.84% 50.74% 51.37% 0.4499 (0.1615)
Yes No 264 0.6034 (0.1201) 88.70% 19.33% 65.94% 52.71% 0.6606 (0.1215)
Yes 148 0.5138 (0.1326) 79.77% 22.22% 57.36% 48.37% 0.4013* (0.1427)

Final column (labeled as n = 148) reports scores generated using a data set consisting only of the 148 subjects with data for all 12 features. Values marked with * are significantly different (P < .05) from the corresponding means in the fifth column. Abbreviations: RF, random forest; SVM, support vector machine; SP‐ECog, study partner–assessed Everyday Cognition score; CBB, Cogstate Brief Battery score; AUC, area under the receiver‐operating characteristic curve, measured by 10‐fold cross‐validation; SD, standard deviation; Sens., sensitivity; Spec., specificity; PPV, positive predictive value; NPV, negative predictive value.