Research Article
Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown Spectroscopy
Table 3
Classification performance using SIMCA with PCA for 25 geological samples.
| No. | Correct classification | Misclassification | Unclassification |
| 1 | 60% | 40% | 0 | 2 | 97.5% | 2.5% | 0 | 3 | 100% | 0 | 0 | 4 | 100% | 0 | 0 | 5 | 97.5% | 2.5% | 0 | 6 | 100% | 0 | 0 | 7 | 97.5% | 2.5% | 0 | 8 | 100% | 0 | 0 | 9 | 87.5% | 12.5% | 0 | 10 | 90% | 10% | 0 | 11 | 100% | 0 | 0 | 12 | 100% | 0 | 0 | 13 | 97.5% | 2.5% | 0 | 14 | 92.5% | 0 | 7.5% | 15 | 80% | 0 | 20% | 16 | 92.5% | 0 | 7.5% | 17 | 100% | 0 | 0 | 18 | 100% | 0 | 0 | 19 | 97.5 | 0 | 2.5% | 20 | 100% | 0 | 0 | 21 | 80% | 20% | 0 | 22 | 97.5% | 2.5% | 0 | 23 | 100% | 0 | 0 | 24 | 100% | 0 | 0 | 25 | 85% | 15% | 0 | Average results | 94.1% (941/1000) | 4.7% (47/1000) | 1.2% (12/1000) |
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