Figure 7: Method validation and performance evaluation. (A) Average (N=20) performances computed at different discrimination threshold d. The TPs remain roughly constant. On the other hand, the FPs decrease and fluctuate around very small percentage. The algorithm filters out the FPs that fluctuate at high frequency reaching best performances (85%) at d = 1. (B) Analysis of scaling properties. An average (N=20) number of TP/Nc, FP/Nc, and ∆ was computed for 20 randomly generated networks with 10, 20, and 50 neurons, respectively. Very good performances are maintained constant for increasing network size. (C) Accuracy ACC indicator computed for different network sizes as a function of the discrimination threshold d. The error bars stand for the standard deviation of a dataset of 20 different networks.
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