Figure shows that with our phase stability-guided MaxProQQ designs, we could tune our experiments to stable regions of the design space across all three sub-systems. The proportion of stable formulations in a batch are coloured with a hue to represent the phase stability cutoff. This threshold was progressively increased over each round. Initially, we want a low threshold to favour exploration of the design space, and as we have more experimental data and train a better stability classifier, we can exploit this model to strongly bias our formulations to regions of stability, as seen if you compare the first and last points across all three subsystems. Note, for the first point, the stable in round and overall stable (%) are equivalent and the initial design was generated by random sampling. The phase stability cut-off is used to tune the balance between complete exploration of the design space (low threshold) and exploitation of the stability classifier to predicted stable regions in the design space (high threshold). This stability cut-off is increased on each iteration.