Table 2
Summary of the goodness of fit of the 4 methods to estimate fish energy density. The coefficient of determination (R2) measures the proportion of variance in the response variable that is explained by the explanatory variable with values between 0 and 1 and the higher the values the better is the fit of the model. The normalized root mean square error (nRMSE) quantifies the average magnitude of the estimation error with lower values indicating more accurate estimations. The slope of the regression allows us to assess potential biases across the range of values: a slope lower than 1 indicates that large values are underestimated and small values are overestimated, while a slope greater than 1 indicates the opposite.
| Anchovy | Sardine | |||||
|---|---|---|---|---|---|---|
| R2 | nRMSE | Slope | R2 | nRMSE | Slope | |
| Method 1 | 0.03 | 0.206 | 0.04 | 0.45 | 0.228 | 0.45 |
| Method 2 | 0.04 | 0.465 | 0.36 | 0.50 | 0.303 | 0.88 |
| Method 3 | 0.89 | 0.062 | 0.92 | 0.96 | 0.062 | 0.96 |
| Method 4 | 0.90 | 0.062 | 0.91 | 0.96 | 0.058 | 0.96 |
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