Today, I continued to check the outline.
Summary:
outlier: i should try if outliers will be deleted. if not, we can mention in our paper that we does not delete any data.
PCA analysis should be used for high dimension reduction (thousands or millions), which is not suitable for our research.
transformation of data may be useful for prediction: standardization, change skewness, normalization.
Tomorrow, I will realize codes for this week's outline.
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