The example shows the results from slow autopilot for a particular data set.
Because it had the "slow" setting of autopilot, it attempts 6D down through 1D
Several points to notice about these graphs:
- Curves for higher dimensionalities have lower final stress than curves for lower
That is because it is easier to fit the data with more dimensions in the solution.
- Curves for the randomized runs have higher final stress values than the curves for the
This is because the real data have a correlation structure among the variables that allows
a lower stress solution.
- Curves for the real runs are more variable for a given dimensionality than the
- A few real curves have rather high instability, as shown by their jagged shape.