Copyright
©The Author(s) 2022.
World J Gastroenterol. Sep 28, 2022; 28(36): 5338-5350
Published online Sep 28, 2022. doi: 10.3748/wjg.v28.i36.5338
Published online Sep 28, 2022. doi: 10.3748/wjg.v28.i36.5338
Figure 3 Visualization model prediction based on machine learning based algorithm.
A: Random forest classifier model; B: Decision tree model. Candidate factors associated with fracture risk are named through random forest classifier algorithm, and prediction nodes and weights are assigned by the decision tree algorithm.
- Citation: Wei X, Yan XJ, Guo YY, Zhang J, Wang GR, Fayyaz A, Yu J. Machine learning-based gray-level co-occurrence matrix signature for predicting lymph node metastasis in undifferentiated-type early gastric cancer. World J Gastroenterol 2022; 28(36): 5338-5350
- URL: https://www.wjgnet.com/1007-9327/full/v28/i36/5338.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i36.5338