Table 5.
Precision for Abbreviations ABBR (95% confidence interval) % |
|||||
---|---|---|---|---|---|
FP | WS | NBL | MSL | TDLL | ODLL |
A | 2 | 90.9 ( ± 1.1) | 91.8 ( ± 1.1) | 90.7 ( ± 1.2) | 90.6 ( ± 1.2) |
4 | 91.8 ( ± 1.1) | 93.4 ( ± 1.0) | 91.9 ( ± 1.1) | 92.1 ( ± 1.1) | |
6 | 91.6 ( ± 1.1) | 94.1 ( ± 0.9) | 91.4 ( ± 1.1) | 92.0 ( ± 1.1) | |
8 | 90.8 ( ± 1.1) | 93.9 ( ± 0.9) | 91.3 ( ± 1.1) | 91.9 ( ± 1.1) | |
10 | 90.4 ( ± 1.2) | 94.1 ( ± 0.9) | 91.0 ( ± 1.1) | 91.8 ( ± 1.1) | |
B | 2 | 91.4 ( ± 1.1) | 92.0 ( ± 1.1) | 90.9 ( ± 1.1) | 90.7 ( ± 1.2) |
4 | 94.5 ( ± 0.9) | 94.8 ( ± 0.9) | 93.3 ( ± 1.0) | 93.0 ( ± 1.0) | |
6 | 95.5 ( ± 0.8) | 95.7 ( ± 0.8) | 93.8 ( ± 1.0) | 94.0 ( ± 0.9) | |
8 | 96.0 ( ± 0.8) | 96.1 ( ± 0.8) | 93.9 ( ± 0.9) | 94.2 ( ± 0.9) | |
10 | 96.3 ( ± 0.7) | 96.4 ( ± 0.7) | 94.1 ( ± 0.9) | 94.3 ( ± 0.9) | |
C | 2 | 91.7 ( ± 1.1) | 92.1 ( ± 1.1) | 91.3 ( ± 1.1) | 91.0 ( ± 1.1) |
4 | 94.6 ( ± 0.9) | 94.7 ( ± 0.9) | 93.5 ( ± 1.0) | 93.1 ( ± 1.0) | |
6 | 95.9 ( ± 0.8) | 95.9 ( ± 0.8) | 94.1 ( ± 0.9) | 94.1 ( ± 0.9) | |
8 | 96.3 ( ± 0.7) | 96.3 ( ± 0.7) | 94.3 ( ± 0.9) | 94.4 ( ± 0.9) | |
10 | 96.9 ( ± 0.7) | 96.8 ( ± 0.7) | 94.6 ( ± 0.9) | 94.7 ( ± 0.9) | |
E | 2 | 90.0 ( ± 1.2) | 93.1 ( ± 1.0) | 91.7 ( ± 1.1) | 92.3 ( ± 1.1) |
4 | 94.6 ( ± 0.9) | 95.8 ( ± 0.8) | 93.9 ( ± 0.9) | 94.6 ( ± 0.9) | |
6 | 96.2 ( ± 0.8) | 96.8 ( ± 0.7) | 94.7 ( ± 0.9) | 95.4 ( ± 0.8) | |
8 | 97.2 ( ± 0.7) | 97.4 ( ± 0.6) | 95.1 ( ± 0.9) | 95.8 ( ± 0.8) | |
10 | 97.6 ( ± 0.6) | 97.7 ( ± 0.6) | 95.3 ( ± 0.8) | 96.2 ( ± 0.8) | |
D | NA | 84.0 ( ± 1.5) | 91.0 ( ± 1.1) | 91.7 ( ± 1.1) | 92.0 ( ± 1.1) |
F | NA | 98.6 ( ± 0.5) | 98.5 ( ± 0.5) | 95.7 ( ± 0.8) | 96.7 ( ± 0.7) |
The machine learning algorithm has four choices: NBL, MSL, TDLL, and ODLL. The feature representation (FP) has six options: A, B, C, D, E, and F, where A, B, C, and E have five different window sizes 2, 4, 6, 8, and 10. The 95% confidence interval for each precision value (p) in the table is p ± 0.5∼1.5%.