Table 4. R² values of the parameter estimation with the ABC (approximate Bayesian computation) model choice for diploid populations.

Case 1: 1000 constant selection pseudoobservables
M0 (True)	50	500	5000
s	−0.13	0.55	0.796
h	−0.789	0.653	0.88
M1 (False)	50	500	5000
s 1	−0.194	0.363	0.746
s 2	0.491	0.57	0.609
h	0.195	0.764	0.857
CP	−10.8	−1.65	−1.37

Case 2: 1000 changing selection pseudoobservables
M0 (False)	50	500	5000
s	−0.441	0.0955	0.118
h	−0.119	0.525	0.573
M1 (True)	50	500	5000
s 1	−0.713	0.181	0.277
s 2	0.467	0.536	0.463
h	0.219	0.611	0.678
CP	−0.145	−0.258	−0.125