Research Article
Microalgae Classification Using Improved Metaheuristic Algorithm
Table 2
The resampling results were performed with several sample sizes from 25% to 200%.
| | Sample size | Kappa | Max F1 | Min F1 |
| SMO | 25 | 0.703 | 0.329 | 0.851 | 50 | 0.725 | 0.337 | 0.846 | 100 | 0.732 | 0.343 | 0.831 | 200 | 0.733 | 0.353 | 0.826 |
| Neural network [40] | 25 | 0.708 | 0.506 | 0.843 | 50 | 0.725 | 0.627 | 0.915 | 100 | 0.764 | 0.711 | 0.978 | 200 | 0.777 | 0.724 | 0.988 |
| Region growing [37] | 25 | 0.620 | 0.296 | 0.843 | 50 | 0.625 | 0.305 | 0.831 | 100 | 0.613 | 0.325 | 0.827 | 200 | 0.634 | 0.364 | 0.796 |
| NAABB [38] | 25 | 0.649 | 0.316 | 0.758 | 50 | 0.658 | 0.328 | 0.746 | 100 | 0.676 | 0.346 | 0.723 | 200 | 0.681 | 0.358 | 0.698 |
| Label-free [39] | 25 | 0.538 | 0.324 | 0.712 | 50 | 0.554 | 0.349 | 0.708 | 100 | 0.562 | 0.382 | 0.692 | 200 | 0.591 | 0.416 | 0.697 |
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