Table 1.
Model | No. of parameters | RSS | LL | AIC | R2 |
---|---|---|---|---|---|
Nash | 0 | 92,511 | 1431 | 2862 | NAN |
AI | 3 | 43,704 | 505 | 1017 | 0.303 |
Model 2 | 2 | 23,015 | 243 | 489 | 0.526 |
Model 3 | 3 | 19,170 | 198 | 403 | 0.616 |
Model 4 | 4 | 15,687 | 162 | 333 | 0.678 |
The column labeled RSS reports the average of the residual sum of squares across participants. LL indicates the average of the log-likelihood across participant. AIC was computed per participant using Equation 7, and the average is reported here. R2 is the squared correlation coefficient between true and predicted response. NAN = not a number.