Multi-class Classification on Sawmill Suitability Classification Dataset
86.48AccuracyRF
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| RFHyperparameter Tuning=Optimized2026.04 | 86.48 | 86.48 | 87.34 | 86.63 | 91.19 | 80.17 | 85.3 | 96.58 | 96.56 | |
| XGBoostHyperparameter Tuning=Optimized2026.04 | 84.95 | 84.95 | 85.88 | 85.11 | 90.8 | 95.96 | 84.24 | 76.2 | 95.69 | |
| SVCHyperparameter Tuning=Optimized2026.04 | 81.86 | 81.86 | 82.86 | 81.99 | 91.57 | 70.35 | 81.72 | 91.61 | 91.59 | |
| KNNHyperparameter Tuning=Optimized2026.04 | 72.57 | 72.57 | 76 | 73.13 | 80.08 | 66.18 | 69.62 | 87.27 | 81.42 | |
| LRHyperparameter Tuning=Optimized2026.04 | 58.7 | 58.7 | 69.19 | 58.62 | 88.12 | 57.41 | 44.6 | 90.68 | 85.97 |