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Table 5 Predictions on five datasets in terms of units_r

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

Units_r

Metrics

P1

P2

P3

P4

P5

4

ACC

0.9241

0.8973

0.9111

0.9017

0.8742

 

AUC

0.9712

0.9532

0.9687

0.9578

0.9465

 

F1-score

0.8857

0.8258

0.8316

0.8737

0.7804

5

ACC

0.9329

0.9169

0.9176

0.9136

0.8903

 

AUC

0.9764

0.9674

0.9663

0.9704

0.9715

 

F1-score

0.8949

0.8555

0.8580

0.8955

0.7903

6

ACC

0.9281

0.9063

0.9098

0.8949

0.8968

 

AUC

0.9737

0.9643

0.9529

0.9628

0.9649

 

F1-score

0.8896

0.8450

0.8420

0.8680

0.8234

7

ACC

0.9276

0.9013

0.9255

0.9000

0.9032

 

AUC

0.9710

0.9557

0.9717

0.9551

0.9636

 

F1-score

0.8870

0.8205

0.8584

0.8763

0.8104

  1. The entry in boldface represents the best performance on one dataset with respect of Units_r