Figure 6
From: Realistic Subsurface Anomaly Discrimination Using Electromagnetic Induction and an SVM Classifier
Result of the SVM classification for the Camp Sibert anomalies using the logarithms of k and 
. The SVM has been trained with capacity C = 10 and kernel width 
. The small markers denote the ground truth for both training (hollow) and testing (solid) cells. The larger markers highlight the cases where there is a disagreement between the ground truth and the SVM prediction.