Fig. 3

The results of the SRD analysis. SRD values are plotted on the X and left Y axes for visullization. (i) The models based on different algorithms are arranged in rows; (ii) a reference vector (row-wise data fusion, i.e., average) was defined and added as the last column of the matrix: this corresponds to an ideal reference method; (iii) the methods (columns) are ranked one-by-one in decreasing magnitude (including the reference column); (iv) the differences between the ranks of each sample between each method and the reference vector are calculated, and finally (v) these differences are summed for each method: these sums are called the SRD values, with the smaller value being the better (closer to the ideal reference method)