Table 3 The regression equations for each of the ML methods.
From: Calculation of hydrogen dispersion in cushion gases using machine learning
Equations | Bayesian | Test | Output ~ = 0.95*Target + 0.024 |
Train | Output ~ = 0.93*Target + 0.029 | ||
LR | Test | Output ~ = 1*Target + (−0.0043) | |
Train | Output ~ = 1*Target + 0.00099 | ||
ANN | Test | Output ~ = 0.94*Target + 0.012 | |
Train | Output ~ = 0.99*Target + 0.0075 | ||
SVM | Test | Output ~ = 0.61*Target + 0.15 | |
Train | Output ~ = 0.64*Target + 0.14 | ||
LSBoost | Test | Output ~ = 0.98*Target + 0.0094 | |
Train | Output ~ = 0.99*Target + 0.0026 | ||
RF | Test | Output ~ = 1*Target + (−0.009) | |
Train | Output ~ = 1*Target + 0.00016 |
