Table 3 Random forest regression models’ evaluation results.
From: Machine learning analysis of Iran’s wildfire landscape and anthropogenic influences
Evaluation metric | CO2 Emission (wildfire occurrences) | Average temperature (wildfire occurrences) |
|---|---|---|
Root mean squared error (RMSE) | 2079.66 | 2858.60 |
Mean absolute error (MAE) | 1730.00 | 2114.22 |
R-squared | 0.85 | 0.73 |
