Table 8 Average performance of the five folds of the proposed regression models
From: Application of machine learning techniques for predicting survival in ovarian cancer
Model | RMSE (%) | R2 |
|---|---|---|
KNN | 24.71 | 0.2372 |
SVM | 25.62 | 0.1804 |
DT | 25.14 | 0.2104 |
RF | 24.25 | 0.2658 |
AdaBoost | 27.76 | 0.3682 |
XGBoost | 20.61 | 0.4667 |