Table 4.
Feature | Relative Errors from Models |
||
---|---|---|---|
B-Scan Count | Maximum Height | B-Scan Count × Maximum Height | |
CME | |||
Group 1 (n = 13) | 49.4% | 20.4% | 23.7% |
Group 2 (n = 13) | 35.7% | 13.7% | 16.6% |
SRF | |||
Group 1 (n = 13) | 22.9% | 21.9% | 11.8% |
Group 2 (n = 13) | 22.3% | 29.8% | 18.6% |
PED | |||
Group 1 (n = 13) | 29.2% | 47.5% | 28.4% |
Group 2 (n = 13) | 15.6% | 18.7% | 11.8% |
Average (n = 26) | |||
CME | 42.6% | 17.1% | 20.2% |
SRF | 22.6% | 25.9% | 15.2% |
PED | 22.4% | 33.1% | 20.1% |
To determine the predictive power of our analysis, we used a random split sample approach.
Models were built on one group and applied to the other. The absolute errors of each model were averaged and compared with the averaged gold-standard volumes of the respective features (CME, SRF, PED). The resulting relative errors are shown individually for both groups and as the averaged value of the two.