2.2.2 Data processing
The data set contains a total of 260 samples, and the relevant data is
highly discrete, while data standardization (convert the mean of the
sample to 0 and the mean to 1) has the advantages of making the data
distribution more concentrated, eliminating the impact of dimensional
differences between data, and increasing the interpretability of the
machine learning model(De Livera et al., 2015). Therefore, data
normalization was performed on our dataset to improve the data
structure.