Comparison between the true SFR as given by the CIGALE output, and the best-fit models of Eq. (4) (MCMC; Table 1), and the random forest machine learning method (RF) using the WISE bands 1 and 3. The y-axis represents the logarithm of the ratio between the SFR of each model and the true SFR, thus the black dashed line at zero represents equality. Blue, red, pink, and purple colors show the extinction-independent, and extinction-dependent (E(B − V), IRXu, IRXg) relations of Eq. (4) respectively. With light-blue and orange colors are the extinction-independent, and extinction-dependent models based on the RF method respectively. The linear log L_W3–log SFR calibration by Cluver et al. (2017) is also displayed in green color. The lines represent the distribution modes and the shaded areas show the 68% percentiles of the log (SFR_model/SFR_true) as a function of the log SFR_true. Each panel shows the comparison of galaxy models with one of the discrete E(B − V) values, shown in the bottom left corner of each panel. This comparison is performed with a uniform-E(B − V) sample, therefore, there is an equal number of sources for each extinction value. At the bottom of each panel are the modes and 68% percentiles of the log (SFR_model/SFR_True) distribution for all galaxy models with the specific E(B − V), shown with corresponding colors to the relations used to derive the SFR. These comparisons are also summarized in Table 2.