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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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