A Factorization Deep Product Neural Network for Student Physical Performance Prediction

Table 6

The result of the deep learning benchmark models.

Different structures	Accuracy	Precision	Recall	F1	AUC
FM	0.8431	0.8552	0.9281	0.8902	0.7933
DNN	0.8440	0.8554	0.9294	0.8908	0.7939
DeepFM	0.8485	0.8603	0.9297	0.8937	0.8008
PNN	0.8576	0.8646	0.9392	0.9004	0.8098
DNN + PNN	0.8614	0.8660	0.9437	0.9032	0.8131
FM + PNN	0.8625	0.8670	0.9440	0.9039	0.8147
FDPN	0.8668	0.8680	0.9499	0.9071	0.8179