Table 2. Summary of training and testing performance of Maxent models based AUC metrics, accuracy based on maximum test sensitivity and specificity decision boundary (logistic threshold), and action values with 95% confidence intervals.
Variables | Training AUC (± SE) | Testing AUC (±SE) | Accuracy | Action values (x) ¥ (95% CI) |
---|---|---|---|---|
Alkalinity | 0.616 (0.003) | 0.620 (0.006) | 68.5 |
(125, 134) |
BOD | 0.572 (0.004) | 0.554 (0.008) | 60.6 |
(0.825,1.09) (4.51, 6.43) |
Conductivity (µS) | 0.628 (0.003) | 0.638 (0.006) | 65.6 |
x > 306 µS (287,315) |
Dissolved Oxygen | 0.635 (0.003) | 0.640 (0.007) | 67.7 |
(8.68, 10.6) |
Discharge ( ) | 0.556 (0.004) | 0.553 (0.006) | 63.8 | * |
Hardness | 0.632 (0.003) | 0.627 (0.006) | 59.9 |
(122, 152) |
NO3 | 0.581 (0.004) | 0.579 (0.007) | 63.4 |
(1.63, 1.84) |
pH | 0.571 (0.003) | 0.562 (0.006) | 55.6 | * |
PO4 ( ) | 0.581 (0.004) | 0.580 (0.008) | 63.8 | 0.0642 (0.0873, 0.766)˘ (6.27,9.01) ̑ |
Water Temperature (°C) | 0.666 (0.003) | 0.670 (0.005) | 65.2 |
x > 12.4 °C (11.3, 15.5<x<20.0) |
8-variable model | 0.770 (0.002) | 0.709 (0.005) | 78.5 | |
5-variable model | 0.753 (0.002) | 0.723 (0.006) | 77.8 | |
4 variable model | 0.750 (0.002) | 0.726 (0.005) | 77.8 |
Notes.
Model was not significant.
Values of the variables that corresponded to impairment.
95% CI for the lower bound of the action value.
95% CI for the upper bound of the action value.