Thus, we've taken a continuous numeric feature and encoded it as an ordinal feature (meaning an ordered categorical feature), and this ordinal feature could be passed to the model in place of the numeric feature.
My general recommendation is to not use discretization, for three main reasons: Discretization removes all nuance from the data, which makes it harder for a model to learn the actual trends that are present in the data.
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