Soil clay regressions: Looking for the better accuracy (part 2)

Let´s select a seed (to fix the training and test set) and develop the regression with four algorithms (PLS, Random Forest, Cubist and Memory Based Learning.

These are the Test Validation XY plots and statistics:

PLS Regression:

Random Forest Regression:

Cubist Regression:

Memory Based Learning Regression

We can see PLS give the better RMSEP, but some samples are outside the Action Limits Warning, while that in the MBL the residual distribution is more stable and there are no samples outside the action limits threshold.