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Table 15.

Classification of VMC sources from a probabilistic random forest supervised machine learning algorithm.

α δ pAGN pGal pOB pRGB pAGB pYoung pPN pPost pRSG pHPM pUnk PrfClass pPrfClass pExGal Flag XorR
(deg) (deg) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%)
9.12715 −70.65073 71.358 6.040 0.880 1.893 1.263 0.000 5.426 0.389 0.072 0.365 11.288 AGN 71.358 77.398 M N
9.12716 −71.73568 10.695 1.139 0.829 4.997 6.604 0.000 7.092 0.449 0.291 1.128 66.473 Unk 66.473 11.835 M N
9.12716 −72.47365 58.366 5.470 0.091 3.874 0.905 0.000 0.699 0.021 0.018 0.240 28.977 AGN 58.366 63.836 M N
9.12716 −71.89797 42.437 28.003 0.556 25.191 1.474 0.000 2.698 0.201 0.175 0.353 20.392 AGN 42.437 70.440 M N
9.12717 −71.40187 14.386 0.765 0.072 15.824 2.076 0.000 0.032 0.343 0.191 1.667 64.567 Unk 64.567 15.151 M N
9.12717 −70.71784 0.0227 0.008 0.101 0.068 0.033 0.000 0.072 0.011 0.010 0.013 0.657 Unk 0.657 0.031 M N
9.12717 −72.56104 0.071 0.006 0.006 0.074 0.029 0.000 0.002 0.001 0.001 0.034 0.775 Unk 0.775 0.078 M N
9.12717 −70.32687 0.041 0.017 0.151 0.065 0.023 0.000 0.055 0.017 0.001 0.009 0.620 Unk 0.620 0.058 M N
9.12718 −72.88727 0.127 0.011 0.002 0.069 0.002 0.000 0.002 0.001 0.001 0.002 0.782 Unk 0.782 0.138 M N

Notes. Uncertainties associated with the above probabilities (Pennock et al. 2025) are included with the data release.

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