Self-prediction test performed using the full set of features and a balanced-counts training sample, which includes measurement errors. The training-test sample has been adjusted to maintain an equal number of entries across all samples in Fig. 4 through random selection, aligning with the less populated class (nETGs). The training set consists of 80% of the randomly selected subsample (16 800 entries), while the remaining 20% (4200 entries) is allocated for testing. Top row: target is M_DM(r_1/2). Bottom row: target is M_tot(r_1/2).