Copyright
©The Author(s) 2022.
World J Clin Cases. Apr 26, 2022; 10(12): 3729-3738
Published online Apr 26, 2022. doi: 10.12998/wjcc.v10.i12.3729
Published online Apr 26, 2022. doi: 10.12998/wjcc.v10.i12.3729
Table 2 The model performance of the machine learning classifiers for predicting flap failure
| Accuracy | Precision | Recall | F1 score | AUC | |
| Random forest | 0.78 | 0.82 | 0.69 | 0.75 | 0.770 |
| Support vector machine | 0.71 | 0.79 | 0.58 | 0.67 | 0.720 |
| Gradient boosting | 0.68 | 0.76 | 0.53 | 0.65 | 0.707 |
- Citation: Shi YC, Li J, Li SJ, Li ZP, Zhang HJ, Wu ZY, Wu ZY. Flap failure prediction in microvascular tissue reconstruction using machine learning algorithms. World J Clin Cases 2022; 10(12): 3729-3738
- URL: https://www.wjgnet.com/2307-8960/full/v10/i12/3729.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i12.3729