Notes. η corresponds to the initial knot spacing of the intrinsic spline and η_ml to the initial knot spacing of the extrinsic microlensing splines, in days. For the WFI data set, “ml model” indicates whether the microlensing has been modeled using free-knot splines or polynomials. For the former case, η_ml pos. indicates the constraint on the microlensing spline knots. Brackets indicate that the values within have been tested in all possible combinations – each data set has thus nine different possible combinations. For the regression difference technique the parameters ν (smoothness degree), A (amplitude in magnitudes), scale (length scale in days) and errscale (observation variance in days) refer to the Matérn covariance function used in the python 2.7 Gaussian process regression implementation of the pymc.gp module. The rightmost column (marked with an *) has the Matérn covariance function replaced by a power-law covariance function, where ν indicates the power-law index.