The average fraction of conditions that consistently mix based on interface generation to step 𝑁 for the NNs trained using different training datasets, shown in Fig. ), indicates that denser training datasets provide a marginal improvement in performance over sparser training datasets. However, the performance differences across training datasets is small, and every NN performs much better than random mixing.