From Numerical to Categorical

Three ways to bin numeric features

Binning numerical features into groups based on intervals the original value falls into can improve model performance. This can occur for several reasons. First, these bins can be defined based on domain knowledge to help the model better identify the patterns it is looking for. Second, data always has measurement errors, and binning can reduce the impact of these errors.

There are three common approaches outside of domain …

data preparation data science feature engineering machine learning numerical