Confusion matrices showing percent values from the classification of the validation set for each of the five RF classifiers where: only variability features and stellarity are used to identify AGN (RF1); the five colors z − y, i − z (RF2), r − i (RF3), B − r (RF4), and u − B (RF5) are progressively included in the feature set; and, finally, for the classifier RF_col, where the only features used are the five colors and the stellarity index. Each percent error is the standard deviation from the average value obtained from a set of ten simulations per classifier, where each classifier builds each time 500 trees in order to determine the final classification for each source.