Research Article
A Linear-RBF Multikernel SVM to Classify Big Text Corpora
Table 2
Comparative results between preconfigured classifiers and the proposed model.
| Statistics | Classifiers |
| Linear | RBF | Sigmoid | MLRBF |
| Allele | | | | Precision | | | | Min | 0.840 | 0.645 | 0.830 | Avg | 0.891 | 0.725 | 0.855 | Max | 0.913 | 0.855 | 0.895 | Recall | | | | Min | 0.741 | 0.652 | 0.745 | Avg | 0.803 | 0.755 | 0.818 | Max | 0.834 | 0.834 | 0.882 | -measure | | | | Min | 0.800 | 0.650 | 0.795 | Avg | 0.847 | 0.735 | 0.836 | Max | 0.872 | 0.844 | 0.888 | Kappa | | | | Min | 0.712 | 0.542 | 0.718 | Avg | 0.729 | 0.610 | 0.731 | Max | 0.754 | 0.692 | 0.778 | GoA | | | | Precision | | | | Min |
0.621 | 0.472 | 0.701 | Avg | 0.653 | 0.493 | 0.729 | Max | 0.689 | 0.501 | 0.759 | Recall | | | | Min | 0.584 | 0.496 | 0.619 | Avg | 0.617 | 0.640 | 0.662 | Max | 0.639 | 0.797 | 0.686 | -measure | | | | Min | 0.602 | 0.490 | 0.657 | Avg | 0.635 | 0.552 | 0.694 | Max | 0.652 | 0.614 | 0.719 | Kappa | | | | Min | 0.227 | −0.07 | 0.355 | Avg | 0.289 | −0.01 | 0.416 | Max | 0.337 | 0.002 | 0.450 |
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