accuracyCostTradeoff property
The value that is selected when tuning your transform for a balance between
accuracy and cost. A value of 0.5 means that the system balances accuracy
and cost concerns. A value of 1.0 means a bias purely for accuracy, which
typically results in a higher cost, sometimes substantially higher. A value
of 0.0 means a bias purely for cost, which results in a less accurate
FindMatches transform, sometimes with unacceptable accuracy.
Accuracy measures how well the transform finds true positives and true negatives. Increasing accuracy requires more machine resources and cost. But it also results in increased recall.
Cost measures how many compute resources, and thus money, are consumed to run the transform.
Implementation
final double? accuracyCostTradeoff;