Table 7 The computational time of one cycle of regression models
From: Application of machine learning techniques for predicting survival in ovarian cancer
Model | Time (Seconds) |
|---|---|
KNN | 15.82 |
SVM | 102.84 |
DT | 178.01 |
RF | 16.26 |
AdaBoost | 12.17 |
XGBoost | 0.71 |
From: Application of machine learning techniques for predicting survival in ovarian cancer
Model | Time (Seconds) |
|---|---|
KNN | 15.82 |
SVM | 102.84 |
DT | 178.01 |
RF | 16.26 |
AdaBoost | 12.17 |
XGBoost | 0.71 |