Training set and cross validation errors of the ten best models inferred through the informative force-motion data obtained from the finger extensor mechanism.

Five independent inference processes are executed to infer the finger extensor mechanism. The mean training set and cross validation errors for the 10 selected models are 5.6% and 6.8%. The corresponding models are all functionally equivalent even though differing from each other in topology and parameter values.