ML vs. previous methods. As in Fig. 4, the x-axis shows the true line-of-sight Log(N_H) values determined via spectral fitting while the y-axis shows the Log(N_H) values predicted by our machine learning algorithm (blue circles). The red squares represent the 14 sources that were predicted to be CT based on the SC method introduced in Koss et al. (2016). Two of these sources (14%) have true N_H values < 10²² cm⁻². Our algorithm does not misclassify any unobscured sources as Compton-thin, let alone CT. The errors from our algorithm were calculated statistically as described in the caption of Fig. 4.