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/The score achieved from category based approach is in individual basis. WNFE obtained 0.599 from 2000 features, which is better than the PNTFA approach but not much satisfactory level as ICBA approach. PNTFA obtained least f-measure value of 0.475 fr

Created June 13, 2016 21:02
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The score achieved from category based approach is in individual basis. WNFE obtained 0.599 from 2000 features, which is better than the PNTFA approach but not much satisfactory level as ICBA approach. PNTFA obtained least f-measure value of 0.475 from 500 features as compared to other (features). In case of PNTFA, the highest f-measure value 0.515 is achieved from 9052 feature, but when statistical analysis was performed, there was no difference between the results of 500 features and 9052 features. Thus, f-measure value 0.475 obtained from 500 features is selected. Merging best feature approach obtained 0.661 f-measure value from 2557 features which is not precise score as is achieved by collective based approach.
The overall result of the multi feature experiment is in table 2. As we can noticed, collective based
approach which is the collection of all kinds of features scores 0.705 as the highest f-measure value from 20000 features.
The score achieved from category based approach is in individual basis. WNFE obtained 0.599 from 2000 features,
which is better than the PNTFA approach but not much satisfactory level as ICBA approach. PNTFA obtained least
f-measure value of 0.475 from 500 features as compared to other (features). In case of PNTFA, the highest f-measure
value 0.515 is achieved from 9052 feature, but when statistical analysis was performed, there was no difference between
the results of 500 features and 9052 features. Thus, f-measure value 0.475 obtained from 500 features is selected.
Merging best feature approach obtained 0.661 f-measure value from 2557 features which is not precise score as is achieved
by collective based approach.
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