| An optimization method of a regression model includes generating a parameter set according to a Simplification Swarm Optimization rule, the parameter set includes a plurality of threshold values and a plurality of model codes, the model codes correspond to a plurality of the regression models, and a plurality of types of the regression models are different from each other; arranging the threshold values; dividing a plurality of data of a dataset into a plurality of groups sequentially according to the threshold values; calculating the data of the groups according to the model codes corresponding to the groups to generate a predicting result and a fitness value of the predicting result; updating a best fitness value in a database according to the fitness value corresponding to the parameter set; and repeating the above steps until a number of the parameter sets being equal to a predetermined value. |