Fig. 1: Model complexity is not a good descriptor for human interpretability.
From: Thermodynamics-inspired explanations of artificial intelligence

a Illustrative input feature coefficients for linear model 1. b Coefficients for linear model 2. Both models have the same number of model parameters (six). However, model 2 is significantly more human-interpretable than model 1, where two of the six features stand out as most relevant for predictions.