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Leaf-level Category Scoring

Leaf-level categories are categories at the lowest level of an application. Leaf-level category scores are called leaf scores.

When leaf-level categories contain include phrases, the leaf score is equal to the total number of matched phrases in the transcript minus the number of matched exclude phrases. The first round of scoring is done on each individual speaker turn, and each turn's score has a floor of 0 even if the number of exclude phrases exceeds the number of matched phrases. These turn scores are then combined for an overall transcript score. Leaf-level categories with no include phrases receive a leaf score of 1.

Once calculated, leaf scores are stored in the V‑Spark database and are converted into binary Match/No Match values each time Coverage scores need to be calculated for upper-level categories:

  • Leaf-level categories that contain no matches (and therefore have Leaf Scores of 0) maintain a Match/No Match value of 0 when the upper-level category scores are calculated.

  • Leaf-level categories that contain at least one match (and therefore have Leaf Scores greater than 0) are given a Match/No Match value of 1 when the upper-level category scores are calculated.


These Match/No Match values are temporary and are only used in score calculations for upper-level categories.