A Supervised Learning Approach For Heading Detection
Table 6: Pearson Correlation Coefficient Between Each Feature Used in the Selected Classifier and Final Decision Labels
['[BOLD] Feature Name', '[BOLD] Pearson Correlation Coefficient']
Analyzing the contribution of each feature towards the final decision made by the classifier is also important to understand the implications of the results. The list is in descending order of pearson correlation coefficient, therefore the top feature in the table contribute the most towards the final decision. Each feature was removed from the classifier one at a time and drop in evaluation metrics also verify the order of contribution presented by using the pearson correlation coefficient. Therefore, the top three contributing features are the ones that rely on the physical attributes of the text.