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