Performance of v1 and v2 on metabolism variables about drb-do-ml HOT 1 OPEN

Overall it seems like most of them get the trends pretty well, but they don't go after the extremes at all.

Another interesting thing is that in some of the V2 models, (e.g., replicate 2 for ER and 6 for GPP) the trends are backwards. What I'm pretty sure happened is that the random starting weights were set in a way that the algorithm settled on having the sign flipped in the second dense layer so that the output of the GPP/ER was actually the negative of what it should be. It seems like the loss in performance for that one variable wasn't enough for the algorithm to change the weights enough to flip the sign to the correct one.

from drb-do-ml.