Copyright
©The Author(s) 2023.
World J Gastroenterol. Dec 28, 2023; 29(48): 6198-6207
Published online Dec 28, 2023. doi: 10.3748/wjg.v29.i48.6198
Published online Dec 28, 2023. doi: 10.3748/wjg.v29.i48.6198
Table 3 Confusion matrices
| Confusion matrices | Predicted class | ||||||
| Training, n = 771 | Validation, n = 193 | Test, n = 160 | |||||
| BE | No BE | BE | No BE | BE | No BE | ||
| Actual class | BE | 206 | 2 | 50 | 2 | 66 | 4 |
| No BE | 2 | 561 | 3 | 138 | 5 | 85 | |
- Citation: Tsai MC, Yen HH, Tsai HY, Huang YK, Luo YS, Kornelius E, Sung WW, Lin CC, Tseng MH, Wang CC. Artificial intelligence system for the detection of Barrett’s esophagus. World J Gastroenterol 2023; 29(48): 6198-6207
- URL: https://www.wjgnet.com/1007-9327/full/v29/i48/6198.htm
- DOI: https://dx.doi.org/10.3748/wjg.v29.i48.6198