Classification Based on Pruning and Double Covered Rule Sets for the Internet of Things Applications

Table 3

The missing match rate of ID3, FOIL, CVCR, CDCR, and CDCR-P.

Dataset	ID3	FOIL	CVCR	CDCR	CDCR-P
Balance	0.422	0.3518	0.0910	0.0799	0.0016
Breast	0.0529	0.0443	0.0029	0	0
Car	0.2165	0.1945	0.0231	0.0156	0
Lymph	0.0624	0.1014	0.0267	0	0
Monks	0	0.1023	0.0486	0.0486	0
Mushroom	0.005	0.005	0	0	0
Soybean	0.0559	0.2787	0.0097	0	0
SPECT	0.0566	0.0634	0.1387	0.1313	0
Tic-tac	0.0366	0.0094	0.0052	0	0
Zoo	0.01	0.0591	0	0	0
Cleve	0.0231	0.0795	0.0298	0.0265	0
Heart	0	0.0148	0.0704	0.0444	0.0111
Iris	0.1733	0.0067	0.1533	0.1533	0.06
Wine	0	0.0454	0.0056	0	0
Average	0.0796	0.0969	0.0432	0.0357	0.0052