[Retracted] Computational Intelligence Based Recurrent Neural Network for Identification Deceptive Review in the E-Commerce Domain

Table 5

Dividing of the evaluated datasets.

Dataset name	Count of samples	Training set (60%)	Testing set (20%)	Validation set (20%)	Count of deceptive class	Count of truthful class
Yelp	30,476	19,504	6,096	4,876	15,473	15,003
Amazon	30,471	19,500	6,095	4,876	15,753	14,718