Example figures of the classification process and result from the 6-indicator Bayesian classifier. Figures are 2D, but the actual classifier was made in a 6D indicator space. Left: Standardized original simulation data distribution on 2D indicator space. Merger stages are shown with different colors, and check it in the legend. Middle: Probability contours. Red, yellow, and blue lines represent probability contours of recent merger, ancient merger, and relaxed samples. Based on these probability contours, the model classifies the dynamical state as shown in the middle panel. Right: Prediction result of the overall sample distribution. Blue dots show the matched classification, and red dots show the mismatched classification. The center of the blue contour region shows good classification, but the center of the red contour region shows conflict of classifications between the recent merger and the ancient merger classification results. It represents an uncertain region of classification.