Points of interest

  • The higher the precision, the lower the storage costs and the greater the storage savings, all other things being equal. The inverse is also true.
  • The available storage savings correlate directly with the document population size.
  • Higher prevalence leads to higher storage costs at any given accuracy level. The same is true as document population increases.
  • (Random) review cost depends entirely upon and correlates directly with prevalence, and is independent of document population size.
  • Low precision does not affect review cost, unlike in the context of review-to-produce.
  • Total cost often declines as recall increases because of the decreased random review burden.
  • Only the cost of random review is shown here because, in general, it should not be difficult to create a predictive-coding model because (non-random) relevant exemplars will be abundant and easily identified in the IG context. Difficulty in finding relevant exemplars will occasion additional review costs.
Hover-and-scroll and click-and-drag to zoom in.
Place chart 1 here.
Place table 1 here.
Variables

Change the variables to see how they affect review, storage, overall cost and other metrics.