Better Effectiveness of Multi-Integrated Neural Networks: Take Stock Big Data as an Example

Table 3

Evaluation of prediction results.

Model	Accuracy	MAE	MAPE	MSE	R_2
MLP	0.758301	0.151200	0.011381	0.041578	0.993498
RNN	0.785069	0.133305	0.010259	0.032996	0.994840
LSTM	0.778255	0.143340	0.010028	0.042996	0.996720
GRU	0.776190	0.129919	0.009749	0.031959	0.995003
MEAN	0.788030	0.129757	0.009710	0.032805	0.994870
STACK	0.802240	0.118611	0.003991	0.028048	0.995695
LEARN	0.755701	0.154355	0.005160	0.043889	0.993264