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. 2021 Jul 14;17(7):e1009129. doi: 10.1371/journal.pcbi.1009129

Fig 5. Effect of the prior on the model performance in the epileptogenicity estimation.

Fig 5

Here, the prior placed on global coupling parameter K is assumed as a Gaussian distribution N(μ=1,σ2), where σ represents the uncertainty about the estimation varying from 0.01 to 1000. (A) The classification accuracy in EZ/PZ prediction. (B) The z-scores in excitability parameter estimation. (C) The potential scale reduction factor R^ to monitor the HMC chains convergence. (D) LOO cross-validation as the out-of-sample model predictive accuracy. The figure plots the averages over 4 HMC chains. For σ ≤ 1.0 all the HMC chains converged; for σ = 10.0 one out of 4 HMC chains converged; for σ ≥ 100.0 all the chains failed to converge.