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Table 5 Comparison of learning accuracy between the DNN and random forest

From: Novel in silico screening system for plant defense activators using deep learning-based prediction of reactive oxygen species accumulation

 

Random forest

DNN

Training data

Test data

Training data

Test data

RMSE

0.27

0.73

0.47

0.73

Precision

1

1

0.95

0.93

Recall

0.94

0.86

0.99

0.99

F-measure

0.97

0.92

0.97

0.96

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Plant Methods

ISSN: 1746-4811