Table 9 Model evaluation(l0CV)
From: A diabetes prediction model based on Boruta feature selection and ensemble learning
Accuracy | Recall | F1 Index | Kappa | Precision | MCC | |
|---|---|---|---|---|---|---|
XGBoost | 0.883 | 0.843 | 0.859 | 0.724 | 0.958 | 0.747 |
REL | 0.986 | 0.978 | 0.983 | 0.967 | 1.000 | 0.969 |
GD | 0.924 | 0.917 | 0.915 | 0.830 | 0.893 | 0.833 |
ARS | 0.986 | 0.984 | 0.985 | 0.970 | 1.000 | 0.981 |
Bagging | 0.908 | 0.888 | 0.897 | 0.796 | 0.937 | 0.803 |
Boosting | 0.982 | 0.976 | 0.982 | 0.961 | 0.967 | 0.962 |
My model | 0.981 | 0.984 | 0.980 | 0.962 | 0.977 | 0.965 |