Hi @masorx: I did not completely understand the evaluation metric.

There is a ground truth lat, lon, geoAltitude and and predicted lat, lon, geoAltitude

Let’s take lat, lon first.

Let’s say RMSE here is the 2d distance(like the medium post) between ground truth lat, lon and predicted lat, lon, for each data point and then average it all? Is it right?

How is the geoAltitude brought into picture here? RMSE between ground truth geoAltitude and predicted geoAltitude is added to the 2D distance or how it works?

For better understanding please provide a function of the evaluation metric even in R or python since I’m confused how the 2D distance is synced to the geoAltitude and get one metric value.