Table 2 Differentiation of healthy controls from individuals with PPA with TRF beta weights as input.

From: Application of machine learning and temporal response function modeling of EEG data for differential diagnosis in primary progressive aphasia

Feature

Frequency band

Algorithm

Participant group

Precision

Recall

F1

Accuracy

Broadband envelope derivative

Delta

Decision tree

Healthy controls

0.45

0.35

0.60

0.71

PPA

0.77

0.84

  1. F1 refers to the macro average of both class’ F1 scores.
Back to article page