Copyright
©The Author(s) 2023.
World J Hepatol. Jan 27, 2023; 15(1): 107-115
Published online Jan 27, 2023. doi: 10.4254/wjh.v15.i1.107
Published online Jan 27, 2023. doi: 10.4254/wjh.v15.i1.107
ML model | Test accuracy (%) | Precision (%) | Recall (%) | F1 score (%) |
Support vector classifier | 52 | 51 | 51 | 51 |
Random forest | 53 | 53 | 53 | 53 |
Bernoulli naïve Bayes | 56 | 55 | 55 | 54 |
Gradient boosting | 50 | 49 | 49 | 48 |
Logistic regression | 50 | 48 | 48 | 47 |
Deep neural networks | 53 | 53 | 53 | 51 |
- Citation: Singh Y, Gogtay M, Yekula A, Soni A, Mishra AK, Tripathi K, Abraham G. Detection of colorectal adenomas using artificial intelligence models in patients with chronic hepatitis C. World J Hepatol 2023; 15(1): 107-115
- URL: https://www.wjgnet.com/1948-5182/full/v15/i1/107.htm
- DOI: https://dx.doi.org/10.4254/wjh.v15.i1.107