Table 2.
Corrected AIC values (AICc), Akaike weights, and number of subjects best fit by each model. With and without restriction refer to models in which criteria were allowed to vary across ensemble size (without restriction) or were not (with restriction).
| Model and parameter | Without restriction | With restriction |
|---|---|---|
| ND-TSD Averaging model | ||
| Mean AICc | 154 | 116 |
| Mean Akaike weight | 0.00 | 0.82 |
| Number of subjects | 0 | 16 |
| TSD Averaging model | ||
| Mean AICc | 146 | 128 |
| Mean Akaike weight | 0.00 | 0.13 |
| Number of subjects | 0 | 3 |
| ND-TSD Summation model | ||
| Mean AICc | 152 | |
| Mean Akaike weight | 0.00 | |
| Number of subjects | 0 | |
| TSD Summation model | ||
| Mean AICc | 150 | |
| Mean Akaike weight | 0.05 | |
| Number of subjects | 1 | |
| OR model | ||
| Mean AICc | 146 | 159 |
| Mean Akaike weight | 0.00 | 0.00 |
| Number of subjects | 0 | 0 |