MLR |
Small, uncorrelated |
yes |
Simple, linear relationships |
Fast
and simple |
Partial Least Squares Regression PLS |
Large, typically correlated |
no |
First idea of a prediction model, process development |
Fast and
simple |
Structured Additive Regression STAR |
moderate |
yes |
Production
process |
Computationally very intensive |
Random Forests RF |
large |
no |
Quick idea of a prediction model,
variable importance, process development |
Rather fast, some parameter
tuning required |
Support Vector Machines Regression SVM |
large |
no |
Production process |
A lot of parameter tuning required |
Neural Networks NN |
moderate |
yes |
Production process |
Rather
slow |
Deep Learning DL |
huge |
no |
Production process |
Computationally very
intensive |
Gaussian Process Regression GPR |
moderate |
no |
Process development |
Rather fast |