Table 3.

Classification of dementia status with different algorithms and different combinations of neuropathology features. Prediction accuracy and standard error are listed for each feature when it is omitted from the multivariable classifier. Age and brain weight had the largest effect when dropped from the model, whilst the neuropathological parameters each had similar effects

Classifier Type	Age & Brain weight	Thal Phase	Plaque score	Braak Stage	CAA	No features omitted
Logistic Regression	0.6327 (+/−  0.0035)	0.6774 (+/−  0.0033)	0.6773 (+/−  0.0033)	0.6776 (+/−  0.0033)	0.6785 (+/−  0.0034)	0.6773 (+/− 0.0033)
Decision Tree	0.6327 (+/−  0.0040	0.6997 (+/−  0.0045	0.6929 (+/−  0.0045	0.7026 (+/−  0.0048	0.7011 (+/−  0.0047	0.7010 (+/−  0.0043)
LDA	0.6344 (+/−  0.0032)	0.6763 (+/−  0.0035)	0.6709 (+/−  0.0034)	0.6738 (+/−  0.0034)	0.6760 (+/−  0.0.0036)	0.6834 (+/−  0.0035)