Table 2 Distinctive features of OLR, ENOR, RF, and SVM
From: Machine learning approach for the detection of vitamin D level: a comparative study
Distinctive Features | OLR | ENOR | SVM | RF |
|---|---|---|---|---|
Interpretability | ✔ | ✔ | X | ✔ |
Hyper-parameter tuning | X | ✔ | ✔ | ✔ |
Controlling overfitting | X | ✔ | X | ✔ |
Flexibility ( dealing with datasets that have many correlated predictors) | X | ✔ | X | ✔ |
Multiclass capability | ✔ | ✔ | ✔ | ✔ |
Robustness to noise and outliers | ✔ | ✔ | ✔ | ✔ |
Efficiency (scalability for high-dimensional dataset) | X | ✔ | ✔ | ✔ |