August 2011
Intermediate to advanced
476 pages
15h 31m
English
Content preview from Applied Semantic Web Technologies
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Data-Driven Evaluation of Ontologies ◾ 241
dierence between the two was at a minimum. Precision and recall of text catego-
rization are dened as:
Precision =
|detected documents in the categgory (true positives)|
|documents in the ca
ttegory (true positives + false positives)|
Recall =
|detected documents in the categoryy (true positives)|
|detected documents (tr
uue positives + false positi ves)|
Table9.4 shows the break-even point of precision and recall and the size of the
classier (from Equation 9-6) for the 10 most frequent categories. WTNBL-MN
usually shows similar performance in terms of break-even performance, except in
the case of the ...
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