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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