Table 2 Hyperparameters for ML algorithms
From: Prediction of successful aging using ensemble machine learning algorithms
ML Algorithms | Hyperparameters |
|---|---|
DT | min_samples_split = 2, min_samples_leaf = 1, max_features = none |
SVM | C = 1, kernel = rbf, gamma = scale |
NB | Alpha = 1.0, |
ANN | Learning rate = 0.01, Number of Hidden Units = 2 |
KNN | n_neighbors (K) = 5 |