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Table 2 Experimental comparison between different non-evolutionary machine learning techniques for burned area prediction. Median of training error and test error calculated over 50 runs of each technique.

From: Predicting Burned Areas of Forest Fires: an Artificial Intelligence Approach

Method Training Test
GS-GP 12.0 12.9
SVM polynomial kernel (second degree) 12.3 13.6
Random forests 13.2 14.3
Radial basis function network 18.5 19.3
Linear regression 18.9 19.6
ST-GP 13.8 21.0
Isotonic regression 18.3 21.5
Neural networks 20.3 33.8