Recovery of the slope and the classes classification in the MaNGIA test set. Left: Comparison between the true and predicted slope in the MaNGIA test set. The one-to-one line is shown for reference. While the model recovers the overall trends, extreme slope values are more difficult to capture. The error bars correspond to the standard deviation of the recovered slopes from the 100 samples. Right: Confusion matrix for the classification on the same test set. Precision is high in all classes (> 84%), meaning false positives are rare. Recall is lower for the underrepresented positive and negative slope classes, which are often classified as the most common flat-slope (low ex situ) class.