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Table 2 Multiclass classification performances of deep learning in estimation of oral cancer survival time

From: Survival estimation of oral cancer using fuzzy deep learning

Class

Precision

Recall (Sensitivity)

F1-score

Accuracy

Specificity

AUC of ROC curve

Class 0: 0 – 12 months

0.74

0.45

0.56

0.81

0.82

0.86

Class 1: 13 – 24 months

0.38

0.62

0.47

0.84

0.95

0.87

Class 2: 25 – 36 months

0.29

0.29

0.29

0.91

0.95

0.84

Class 3: 37 – 48 months

0.29

0.50

0.36

0.94

0.98

0.90

Class 4: 49 – 60 months

0.00

0.00

0.00

0.99

0.99

0.97

Class 5: > 60 months

0.97

1.00

0.98

0.98

1.00

1.00

    

Overall accuracy = 0.74

  
  1. AUC Area under the receiver operating characteristic (ROC) curve