Fig 5. Testing different models for data set D ₁.

(a) $P[A]={\delta }^{n_A}/({\delta }^{n_A}+{\delta }^{n_B})$, δ = 1.33, RMSE = 0.06, (b) P[A] = (δ + n _A)^ϵ/[(δ + n _A)^ϵ + (δ + n _B)^ϵ], δ = 3.90, ϵ = 1.95, RMSE = 0.05, (c) P[A] = (δ + ϵn _A)/[1 + ϵ(n _A + n _B)], δ = 0.63, ϵ = 0.41, RMSE = 0.03, (d) P[A] = 1/2 + δ(n _A − n _B)/(n _A + n _B + ϵ), δ = 0.68, ϵ = 5.06, RMSE = 0.06, (e) P[A] = [1 + (1 + δϵ^−n_A)/(1 + δϵ^−n_B)]^-1, δ = 8.32, ϵ = 1.60, RMSE = 0.05, (f) P[A] = (1 + ps ^n_A−n_B)⁻¹, p = 0.81, s = 0.75, RMSE = 0.04. The different colors correspond to n _B = 0 (black), 1 (red), 2 (green), 3 (blue), 4 (yellow), 5 (brown), 6 (grey), 7 (violet).