Research Article
Use of Machine Learning Models for Prediction of Organic Carbon and Nitrogen in Soil from Hyperspectral Imagery in Laboratory
Table 2
Results of adjustment factors for the SVM and RF models for the soil OC variable.
| Model | Method | Transformation | train | test | RPD |
| SVM | Radial | 1° der SG + | 0.87 | 0.92 | 3.56 | SVM | Radial | Det + | 0.85 | 0.90 | 3.23 | SVM | Linear | 1° der SG + | 0.88 | 0.90 | 3.13 | RF | 800 trees | 1° der SG + | 0.87 | 0.87 | 6.74 | RF | 800 trees | MSC + | 0.82 | 0.82 | 5.95 | RF | 800 trees | Det + | 0.83 | 0.83 | 5.94 |
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