Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network

Table 7 Prediction results on five datasets in terms of l_fc

l _fc	Metrics	P1	P2	P3	P4	P5
1[2]	ACC	0.9300	0.8858	0.9189	0.8780	0.8936
	AUC	0.9735	0.9515	0.9668	0.9565	0.9510
	F1-score	0.8819	0.8080	0.8545	0.8378	0.8256
2[5,1]	ACC	0.9206	0.9020	0.9320	0.8865	0.9129
	AUC	0.9694	0.9626	0.9738	0.9517	0.9640
	F1-score	0.8662	0.8285	0.8735	0.8616	0.8660
3[5,5,1]	ACC	0.9292	0.8959	0.9124	0.8729	0.8903
	AUC	0.9695	0.9512	0.9506	0.9381	0.9555
	F1-score	0.8859	0.8264	0.8466	0.8550	0.8237
3[10,5,1]	ACC	0.9284	0.8946	0.9020	0.8763	0.9129
AUC	0.9695	0.9529	0.9443	0.9526	0.9625
	F1-score	0.8877	0.8288	0.8327	0.8480	0.8363

The entry in boldface represents the best performance on one dataset with respect of lfc

ISSN: 1471-2105