A Supervised Learning Approach For Heading Detection
Table 5: Test Results For General Set
['[BOLD] Category', '[BOLD] Value']
Testing the chosen classifier on a general set of documents is important to show that it performs well on documents other than course outlines. These data points were manually tagged using a survey. All the participants were graduate students from computer science department and were asked to point out headings and subheadings in the documents.