A Compressive Sensing Model for Speeding Up Text Classification

Table 4

Average accuracy, precision, recall, and F₁ on all classifiers for binary classification dataset when SRM is Block DCT.

Metrics	BOW feature	Subrate R for CS feature
		0.1	0.2	0.3	0.4	0.5	0.6
Accuracy	0.6766	0.6670	0.6751	0.6829	0.6793	0.6824	0.6827
Precision	0.6564	0.6658	0.6674	0.6722	0.6694	0.6670	0.6694
Recall	0.6817	0.6671	0.6775	0.6866	0.6824	0.6871	0.6864
F1	0.6679	0.6664	0.6723	0.6790	0.6756	0.6766	0.6774