Table 7 The classification accuracies corresponding to different brain areas and features.

From: Alzheimer’s disease, mild cognitive impairment, and normal aging distinguished by multi-modal parcellation and machine learning

Modle

Set 1

Set 2

Set 3

SVM

89%

80%

48%

LR

88%

78%

49.8%

  1. Note:
  2. Set 1: classification accuracies in SVM and LR with 24 brain areas and 30 features;
  3. Set 2: classification accuracies in SVM and LR with 5 core brain areas and 11 features;
  4. Set 3: classification accuracies in SVM and LR with 11 features and random 5 brain areas from 24 brain areas except 5 core brain areas.
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