Table 2 Performance evaluations of models.
From: Computational models of liver fibrosis progression for hepatitis C virus chronic infection
Model‡ | Dataset | CV test§ | CA (%) | Sensitivity (%) | Specificity (%) | F-measure (%) |
|---|---|---|---|---|---|---|
LP | Full (n = 42) | 70/30-CV | 93.20 | 82.00 | 100 | 90.11 |
LP-TOH | TOH (n = 22) | 70/30-CV | 90.00 | 76.67 | 100 | 86.79 |
LP-IC | IC (n = 20) | 70/30-CV | 95.00 | 85.00 | 100 | 92.31 |
Validation test sets | ||||||
LP-TOH | IC (n = 20) | 90.00 | 71.43 | 100 | 83.33 | |
LP-IC | TOH (n = 22) | 86.36 | 70.00 | 100 | 82.35 | |
BNC-TOH | IC (n = 20) | 85.00 | 71.43 | 92.31 | 82.90 | |
BNC-IC | TOH (n = 22) | 86.40 | 70.00 | 100 | 85.62 | |
Rand BNC-TOH | IC (n = 20) | 45.00 | na | na | na | |
Rand BNC-IC | TOH (n = 22) | 45.54 | na | na | na | |