Moreover, the non-linear SVM is no longer interpretable because the model coefficients do not correspond directly to the data features (e.g., the EC curve). This issue is not present in the application of linear models because the magnitude and sign of the model coefficients correspond directly to the significance of a particular feature of the data. We the averaged graph EC, and I ∈ R is a constant value. Thus, a coefficient c i , b with high magnitude suggests an area of the filtration that has significance in the prediction of HFE.