A Compressive Sensing Model for Speeding Up Text Classification

Table 5

Average accuracies of all classifiers for binary and multiclass classification datasets when using different DR methods.

DR method	Subrate R
	0.1	0.2	0.3	0.4	0.5	0.6
Binary classification
PCA	0.6221	0.6236	0.6206	0.6154	0.6222	0.6091
ICA	0.5754	0.5830	0.5862	0.5974	0.5903	0.6009
NMF	0.5926	0.6127	0.6193	0.6067	0.6157	0.6000
CS	0.6670	0.6751	0.6829	0.6793	0.6824	0.6827
Multiclass classification
PCA	0.7253	0.7213	0.7019	0.6845	0.6822	0.6726
ICA	0.4938	0.5170	0.5305	0.5448	0.5455	0.5479
NMF	0.7112	0.7080	0.7123	0.7123	0.7096	0.7063
CS	0.7960	0.8074	0.8116	0.8143	0.8156	0.8171

Note that SRM in CS is Block DCT.