Table 2.

Performance of NM, J48, MLP and LibSVM on the five seed storage sequence datasets

Dataset	Measures	NM	J48	MLP	LibSVM
Castor bean (39)	Accuracy (%)	82.1	76.9	79.5	64.1
	Precision	0.825	0.771	0.824	0.557
	Recall	0.821	0.769	0.795	0.641
	F-measure	0.821	0.769	0.807	0.578
Maize (67)	Accuracy (%)	97	85.1	92.5	74.6
	Precision	0.97	0.849	0.927	0.757
	Recall	0.97	0.851	0.925	0.746
	F-measure	0.97	0.849	0.926	0.71
Rice (49)	Accuracy (%)	91.8	89.8	89.8	69.4
	Precision	0.918	0.879	0.9	0.629
	Recall	0.918	0.898	0.898	0.694
	F-measure	0.913	0.888	0.895	0.644
Thale Cress (196)	Accuracy (%)	91.3	89.3	89.3	71.4
	Precision	0.913	0.89	0.897	0.675
	Recall	0.913	0.893	0.893	0.714
	F-measure	0.913	0.891	0.894	0.687
Wheat (72)	Accuracy (%)	98.6	93.1	95.8	91.7
	Precision	0.986	0.934	0.961	0.924
	Recall	0.986	0.931	0.958	0.917
	F-measure	0.986	0.932	0.959	0.901