Permutation feature importance of hypertension classification
Random forest | Gradient boosting model |
---|---|
Age (0.059) | Age (0.085) |
Cholesterol (0.007) | Cholesterol (0.011) |
Fraternal hypertension (0.006) | Education level (0.007) |
Education level (0.004) | Fraternal hypertension (0.006) |
Urine acid (0.003) | Urine protein (0.004) |
Height (0.003) | Urine natrium (0.004) |
Creatinine (0.003) | Height (0.004) |
Maternal hypertension (0.002) | Creatine (0.003) |
Glucose (0.002) | Red blood cell count (0.003) |
Urine specific gravity (0.001) | White blood cell count (0.003) |