[Retracted] On the Intelligent Computing Model of Diagnosis Teaching in Preschool Education in Colleges and Universities under the Background of Big Data

Table 2

Experimental results for predicting student performance.

Model	“Data structure”		“Network security”		“Simulation dataset”
	MAE	RMSE	MAE	RMSE	MAE	RMSE
IRT	0.358 ± 0.02	0.415 ± 0.02	0.203 ± 0.02	0.247 ± 0.02	0.227 ± 0.02	0.327 ± 0.02
PMF-5D	0.316 ± 0.02	0.380 ± 0.02	0.195 ± 0.02	0.246 ± 0.02	0.212 ± 0.02	0.265 ± 0.02
PMF-10D	0.319 ± 0.02	0.383 ± 0.02	0.196 ± 0.02	0.248 ± 0.02	0.219 ± 0.02	0.265 ± 0.02
PMF-KD	0.319 ± 0.02	0.383 ± 0.02	0.196 ± 0.02	0.248 ± 0.02	0.213 ± 0.02	0.265 ± 0.02
FuzzyCDF	0_283 ± 0.01	0.376 ± 0.02	0_210 ± 0.01	0.230 ± 0.02	0.220 ± 0.01	0.314 ± 0.02
NeuralCD	0.464 ± 0.03	0.481 ± 0.02	0.429 ± 0.02	0.498 ± 0.02	0.120 ± 0.02	0.235 ± 0.02
CDF-CSE	0.147 ± 0.01	0.231 ± 0.01	0.066 ± 0.01	0.146 ± 0.01	0.106 ± 0.01	0.132 ± 0.01