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Case C: One-time external instance dump.
For price points at or above $0.25, the clear answer to the optimum amount of external instance data is 50% of the incoming instances.
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Case B: Up-to-date batch-wise external instances.
This figure shows the schematics of external instances and external features.
When more external instances are added, we see a divergence in behavior for Figure 6.
This indicates the presence of an optimum number of external instances for those price points.
This shows that above a certain price point, the addition of external instances is no longer feasible.
For price-points above the aforementioned threshold, there is a monotonic increase in NPV upon adding more external instances.
The grey point represents a training instance, and the black points depict external instances scattered across a 2D projection of the 20 molecular feature matrix.
The best strategy for a cost factor of 1 is to get the same amount of external instances as the incoming instances.
For a cost factor of 1, it is feasible to acquire external data if each instance costs $0.25 or less, whereas in the case of a cost factor of 100, we can afford to acquire external instances at $1 each.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com