Skip to main content
. 2022 May 18;78(15):17403–17422. doi: 10.1007/s11227-022-04568-3

Table 3.

Hyperparameter optimization for ML algorithms

ML algorithms Parameters Value range Optimal value
NB Var smoothing {1e−5, 1e−10, 1e−20} 1e−20
KNN K {5, 10, 50, 100} 5
DT Criterion {‘gini’, ‘random’} ‘gini’
MLP Activation function {‘relu’, ‘logistic’,’tanh’} ‘relu’
SVM Kernel {‘rbf’, ‘linear’} ‘rbf’
C {100, 1000, 10,000, 100,000} 100,000
γ {10, 100, 1000, 10,000} 10,000