The second step was the data normalization. For this purpose, the StandardScaler function, also from scikit-learn library, was used to convert the data to the same order of magnitude. The StandardScaler standardizes the data by removing the mean and scaling to unit variance, transforming the data into a distribution with a mean of 0 and standard deviation of 1 . This is an important practice when comparing different types of input variables on the same numeric scale, especially in the context of physical-chemical problems. This is crucial because most analyzed variables significantly differ in orders of magnitude.