Fig. 1: Model complexity is not a good descriptor for human interpretability. | Nature Communications

Fig. 1: Model complexity is not a good descriptor for human interpretability.

From: Thermodynamics-inspired explanations of artificial intelligence

Fig. 1

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.

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