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Table 2 Univariate classifier (logistic regression) of dementia status with different neuropathological features. The cross-validated mean accuracy and error was computed. Plaque score, measures of CAA and Braak stage all performed slightly better than Thal phase as dementia predictors

From: Epidemiological pathology of Aβ deposition in the ageing brain in CFAS: addition of multiple Aβ-derived measures does not improve dementia assessment using logistic regression and machine learning approaches

Features of univariate classifier

Mean accuracy (+/− error)

Thal Phase

0.5957 (+/−  0.0040)

Plaque score

0.6166 (+/−  0.0048)

CAA Type

0.6243 (+/−  0.0046)

CAA Areas

0.6222 (+/−  0.0047)

Braak Stage

0.6179 (+/−  0.0051)

Age (One hot encoded)

0.6540 (+/−  0.0038)

Brain weight

0.5721 (+/− 0.0032)