Research Article

Student Enrollment and Teacher Statistics Forecasting Based on Time-Series Analysis

Table 1

Training results of GRIDSVR, PSOSVR, and WOASVR under selected parameters (students).

Number of studentsCεσ
GRIDSVRPSOSVRWOASVRGRIDSVRPSOVRWOASVRGRIDSVRPSOSVRWOASVR

Primary school-public512.00629793.301825063.860.03120.02610.03830.01560.00470.0538
Primary school-private128.0093053.61135594.150.12500.02270.01200.01560.02540.0372
Secondary school-public256.002605425.882203505.620.00390.22570.21340.00390.01570.0005
Secondary school-private2.0064931.6655942.950.00390.00790.11000.03120.06040.0345
High school-public64.00122065.09161139.260.25000.02140.01610.00390.01000.0026
High school-private512.001573376.0066764.710.06250.62500.09520.00780.00200.7245
University-public512.00232923.9567587.110.03120.11080.08780.00390.00350.0059
University-private512.0074970.2224053.280.25000.16170.02270.00390.00620.0157

GRIDSVR, grid search support vector regression; PSOSVR, particle swarm optimization support vector regression; WOASVR, whale optimization algorithm support vector regression; C, penalty factor; ε, epsilon; σ, sigma.