Table 2.
Random forest classification training model results for (a) Percentage live coral cover, out-of-bag (OOB) estimate of error rate: 42.5%, (b) presence (1)/absence (0) of live coral cover within the microbathymetry, OOB estimate of error rate: 21.95% (c) presence (1)/absence (0) of live coral cover within the microbathymetry with high-definition samples, OOB estimate of error rate: 18.18%
| (a) | Percentage coral cover | Class.error | ||||
|---|---|---|---|---|---|---|
| =0 | ]0;25] | ]25;50] | ]50;75] | ]75;100] | ||
| =0 | 19 | 4 | 1 | 2 | 0 | 0.269 | 
| ]0;25] | 5 | 10 | 4 | 2 | 0 | 0.524 | 
| ]25;50] | 0 | 2 | 8 | 5 | 0 | 0.466 | 
| ]50;75] | 1 | 3 | 4 | 9 | 0 | 0.470 | 
| ]75;100] | 0 | 1 | 0 | 0 | 0 | 1.000 | 
| (b) | 1 | 0 | Class.error | |||
|---|---|---|---|---|---|---|
| 1 | 49 | 5 | 0.070 | |||
| 0 | 14 | 12 | 0.560 | |||
| (c) | 1 | 0 | Class.error | |||
|---|---|---|---|---|---|---|
| 1 | 58 | 5 | 0.079 | |||
| 0 | 11 | 14 | 0.440 | |||
Number of trees = 1500, number of variables per level = 6