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trainindata
@trainindata
Variance stabilization can improve the consistency and reliability of models, especially in situations where data variability can negatively affect algorithm performance. You can read more here: mutual information with python. In the field of feature engineering for machine learning, designing effective features is essential to maximize model performance.
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