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Table 3 The evaluation of machine learning with Hold-out and Leave-one-out cross validation

From: Blood hyperviscosity identification with reflective spectroscopy of tongue tip based on principal component analysis combining artificial neural network

Cross validation

Training set

Test set

Running times

Accuracy (%)

Specificity (%)

Sensitivity (%)

F-measure (%)

Hold-out

47

20

100

88.05

88.11

90.64

83.79

Leave-one-out

66

1

67

97.01

97.56

96.15

96.15