Table 6 Comparison of different classifiers (\(MS2\) test dataset; First Layer).

From: A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease

Classifier

Precision (%)

Recall (%)

MCA (%)

MCF (%)

CN

MCI

AD

CN

MCI

AD

SVM

100.0

91.43

83.87

96.67

89.13

89.66

91.43

91.74

KNN

65.71

59.57

73.91

76.67

60.87

58.62

64.76

65.89

DT

100.0

86.54

96.30

86.67

97.83

89.66

92.38

92.81

NB

90.32

92.68

84.85

93.33

82.61

96.55

89.52

90.05

RF (our model)*

100.0

86.79

100.0

86.67

100.0

89.66

93.33

93.82

  1. MCA: multiclass classification accuracy, MCF: multiclass F1 score; Asterisk ( ∗): is the model with the best predictive performance.
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