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Characteristics and principal results of the Multi-Layer Feed forward artificial neural Network (MLFN) model (training and internal test) in predicting the coral activity status (i.e., bloated vs. non-bloated) for the training and the test sets.
| Training (70%) | |
| Number of cases | 1150 |
| Number of hidden layers | 1 |
| Number of nodes | 9 |
| Training time | 0:7:02 |
| Number of trials | 500 |
| % bad predictions | 0.26 (3) |
| Testing (30%) | |
| Number of cases | 503 |
| % bad predictions (N) | 31 (156) |
