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Table 7 Prediction results on five datasets in terms of lfc

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

l fcMetricsP1P2P3P4P5
1[2]ACC0.93000.88580.91890.87800.8936
 AUC0.97350.95150.96680.95650.9510
 F1-score0.88190.80800.85450.83780.8256
2[5,1]ACC0.92060.90200.93200.88650.9129
 AUC0.96940.96260.97380.95170.9640
 F1-score0.86620.82850.87350.86160.8660
3[5,5,1]ACC0.92920.89590.91240.87290.8903
 AUC0.96950.95120.95060.93810.9555
 F1-score0.88590.82640.84660.85500.8237
3[10,5,1]ACC0.92840.89460.90200.87630.9129
AUC0.96950.95290.94430.95260.9625 
 F1-score0.88770.82880.83270.84800.8363
  1. The entry in boldface represents the best performance on one dataset with respect of lfc