Outputs | ||||
---|---|---|---|---|
Reference | impervious | vegetation | soil | water |
Prediction | impervious | vegetation | soil | water |
Number of samples: 1549
Outputs | ||||
---|---|---|---|---|
impervious | vegetation | soil | water | |
Mean absolute error (MAE) | 0.038 | 0.0384 | 0.0066 | 0.0026 |
Root MSE (RMSE) | 0.0564 | 0.0558 | 0.0261 | 0.019 |
Mean error (ME) | -0.0017 | 0.0005 | 0.0009 | 0.0003 |
Mean squared error (MSE) | 0.0032 | 0.0031 | 0.0007 | 0.0004 |
Median absolute error (MedAE) | 0.028 | 0.028 | 0.0 | 0.0 |
Squared pearson correlation (r^2) | 0.9705 | 0.9682 | 0.9644 | 0.9811 |
Explained variance score | 0.97 | 0.9675 | 0.9624 | 0.9809 |
Coefficient of determination (R^2) | 0.97 | 0.9674 | 0.9624 | 0.9809 |
See Scikit-Learn documentation for details.
See Scipy documentation for details on pearson correlation.