Copyright
©The Author(s) 2020.
World J Clin Oncol. Nov 24, 2020; 11(11): 918-934
Published online Nov 24, 2020. doi: 10.5306/wjco.v11.i11.918
Published online Nov 24, 2020. doi: 10.5306/wjco.v11.i11.918
Table 4 Machine learning model performance
Performance indicators | Linear regression | Decision tree | Random forest | XGBoost |
MSE | 647.49 | 538.30 | 489.58 | 486.55 |
RMSE | 25.45 | 23.20 | 22.13 | 22.06 |
MAE | 18.21 | 14.45 | 13.63 | 13.55 |
R2 score | 0.620 | 0.681 | 0.709 | 0.711 |
Adjusted R2 score | 0.620 | 0.681 | 0.709 | 0.711 |
- Citation: Hung M, Park J, Hon ES, Bounsanga J, Moazzami S, Ruiz-Negrón B, Wang D. Artificial intelligence in dentistry: Harnessing big data to predict oral cancer survival. World J Clin Oncol 2020; 11(11): 918-934
- URL: https://www.wjgnet.com/2218-4333/full/v11/i11/918.htm
- DOI: https://dx.doi.org/10.5306/wjco.v11.i11.918