Table 1 The classification effects of different algorithms
From: Diabetes classification model based on boosting algorithms
| Â | Time taken to build model | The total computing time | Accuracy rate | ROC area |
|---|---|---|---|---|
Logistic | 23.31Â S | 43Â M 22Â S | 85.35% | 0.907 |
RandomForest | 2.13Â S | 30Â S | 91.55% | 0.978 |
AdaBoost.M1 | 0.07Â S | 1Â S | 92.6% | 0.973 |
LogitBoost | 0.33Â S | 1Â S | 93.93% | 0.979 |