Skip to main content

Table 6 Prediction results on five datasets in terms of lr

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

lr

Metrics

P1

P2

P3

P4

P5

1

ACC

0.9354

0.9041

0.9216

0.8983

0.9161

 

AUC

0.9774

0.9595

0.9748

0.9622

0.9604

 

F1-score

0.8918

0.8183

0.8633

0.8817

0.8290

2

ACC

0.9331

0.8831

0.9190

0.8949

0.8936

 

AUC

0.9727

0.9402

0.9656

0.9567

0.9657

 

F1-score

0.8931

0.7844

0.8374

0.8710

0.7972

3

ACC

0.9245

0.8784

0.9216

0.8847

0.9129

 

AUC

0.9732

0.9377

0.9598

0.9421

0.9712

 

F1-score

0.8769

0.7806

0.8559

0.8564

0.8445

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