Research Article
Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model
Table 13
Cross-validation (5 × 5-fold Dataset-255) for each run.
| | 1st fold | 2nd fold | 3rd fold | 4th fold | 5th fold | Total | Accuracy (%) |
| 1st run | 51 | 51 | 50 | 51 | 50 | 253 | 99.21 | 2nd run | 51 | 51 | 50 | 50 | 50 | 252 | 98.82 | 3rd run | 51 | 50 | 50 | 51 | 50 | 252 | 98.82 | 4th run | 51 | 51 | 51 | 51 | 51 | 255 | 100 | 5th run | 51 | 50 | 51 | 50 | 50 | 252 | 98.82 | Final average accuracy | | 99.12 |
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