Participant	Delay (gains)			Probability (gains)			Probability (losses)
	R2	RMSE	AUC	R2	RMSE	AUC	R2	RMSE	AUC
1	.981	.523	.526	.939	.607	.480	.000a	2.082	–b
2	.988	.303	.636	.949	.596	.330	.942	.722	.333
3	.968	.391	.148	.939	.853	.168	.980	.571	.220
4	.793	1.076	.677	.625	1.442	.522	.776	1.944	.285
5	.810	1.866	.616	.974	.635	.215	.892	1.037	.390
6	.980	.590	.433	.893	1.282	.174	.915	.764	.468
7	.596	.585	.823	.971	.597	.205	.956	.699	.339
8	.919	.783	.627	.989	.393	.128	.926	1.043	.246
9	.959	.755	.564	.957	.344	.182	.902	.538	.557
10	.948	.783	.485	.995	.194	.366	.980	.444	.335
11	.923	.897	.535	.876	.560	.558	.941	.718	.171
12	.865	1.409	.146	.961	.669	.226	.961	.677	.234
13	.920	1.188	.418	.946	.503	.393	.914	1.060	.244
14	.641	1.000	.719	.908	1.053	.174	.934	.902	.379
15	.954	.567	.611	.947	.700	.227	.956	.647	.205
16	.846	1.209	.445	.892	1.370	.586	.955	.806	.369
17	.967	.834	.260	.925	.932	.122	.984	.473	.354
18	.761	1.222	.092	.553	1.318	.352	.557	2.460	.500
19	.872	1.155	.457	.952	.666	.396	.898	1.304	.301
20	.682	.604	.781	.978	.591	.207	.864	1.348	.212
21	.585	.439	.829	.990	.278	.314	.846	.814	.409
22	.977	.576	.285	.858	1.075	.208	.958	.436	.547
23	.945	.420	.778	.942	1.053	.145	.972	.640	.184
24	.648	1.945	.794	.450	2.922	.361	.987	.425	.368
25	.358	.074	.983	.966	.785	.183	.849	1.296	.315
26	.000a	.066	–b	.839	1.178	.514	.903	1.361	.057
27	.949	.494	.707	.958	.731	.507	.979	.620	.060
28	.987	.583	.109	.965	.836	.089	.982	.568	.121
29	.927	.582	.697	.937	.816	.351	.963	.776	.164
30	.847	1.025	.562	.928	1.081	.302	.913	1.347	.104
31	.890	.309	.875	.859	1.194	.585	.936	.876	.081
32	.872	.953	.561	.967	.801	.206	.930	1.198	.145
33	.000a	.074	–b	.797	.910	.527	.932	1.000	.121
34	.936	.260	.777	.970	.523	.178	.831	1.253	.293
35	.646	1.279	.578	.689	.888	.510	.727	1.795	.116
36	.039	.893	.942	.989	.306	.327	.836	.650	.539
37	.546	1.325	.149	.751	1.457	.417	.921	1.134	.310
38	.896	1.044	.178	.682	.750	.136	.923	.917	.360
39	.806	.411	.867	.946	.645	.156	.876	.656	.549
40	.893	1.042	.678	.820	1.038	.080	.927	.913	.426
41	.943	.824	.579	.856	1.185	.559	.970	.647	.194
42	.969	.579	.100	.969	.636	.118	.926	1.016	.272
43	.834	1.139	.370	.973	.424	.199	.910	1.080	.166
44	.971	.187	.884	.945	.840	.311	.966	.595	.196
45	.950	.829	.507	.939	.843	.098	.997	.171	.500
46	.801	1.713	.477	.837	1.318	.298	.957	.875	.162
47	.091	.478	.932	.000a	2.194	–b	.634	1.256	.475
48	.446	.073	.981	.974	.568	.419	.975	.679	.489
49	.979	.697	.329	.996	.215	.400	.931	.941	.152
50	.939	.341	.731	.976	.488	.319	.973	.607	.247
51	.318	2.050	.211	.865	1.084	.332	.287	3.488	.369
52	.926	.438	.766	.852	.868	.382	.931	.417	.633
53	.917	1.553	.259	.872	1.907	.162	.919	1.553	.044
54	.420	2.833	.461	.852	.697	.179	.898	1.164	.233
55	.789	1.651	.639	.862	.979	.173	.954	.821	.473
56	.887	1.303	.606	.960	.665	.276	.954	.834	.363
57	.892	.344	.586	.970	.463	.397	.454	2.466	.289
58	.863	1.283	.301	.701	2.083	.228	.752	1.797	.125
59	.928	.326	.821	.995	.271	.221	.994	.325	.118
60	.872	1.536	.537	.882	.819	.345	.912	.802	.522

^aR² of .000 indicates that the mean accounted for as much of the variance as the best-fitting hyperboloid function.

^bThe value of AUC is omitted because the poor fit made the measure meaningless (see above).