Matlab is better. SPSS and MATLAB are commonly used data analysis tools, but their uses and methods are slightly different. SPSS is mainly used for statistical analysis and data mining, while MATLAB is mainly used for scientific calculation and mathematical modeling. There are also some differences between them in prediction. The prediction function of SPSS mainly includes regression analysis, time series analysis and classification analysis. Through the regression analysis and model fitting of historical data, the future trends and laws can be predicted. The advantage of SPSS is that it is easy to learn and operate, and it can quickly perform data preprocessing, model fitting and result interpretation. The prediction function of SPSS is relatively simple, and it can't handle complex nonlinear relationships and large-scale data sets. The prediction function of MATLAB focuses more on scientific calculation and mathematical modeling. There are abundant mathematical toolboxes in MATLAB, including statistical toolbox, optimization toolbox and neural network toolbox, which can be used for more complex data analysis and prediction. The advantage of MATLAB lies in its powerful computing power and flexibility, which can handle large-scale, nonlinear and high-dimensional data, and also supports visualization and interactive analysis.