[Retracted] Construction of the Reverse Resource Recovery System of e-Waste Based on DLRNN

Table 3

Result of the DLRNN framework in problem classification.

Classification method	TREC (%)	MSQC (%)
CNN-nonstatic [21]	93.7	—
C-LSTM [22]	94.5	—
DSCNN [23]	95.5	—
CCNN [24]	97.1	—
TF-IDF + SVM	94.6	88.3
DLRNN	98.5	94.7