Question

What is selective discretizatiin in machine learning?

Answer 1

Answer:

Discretization is the process of transforming a continuous-valued variable into a discrete one by creating a set of contiguous intervals (or equivalently a set of cutpoints) that spans the range of the variable's values.

Answer 2

Discretization is typically used as a pre-processing step for machine learning algorithms that handle only discrete data. This effectively removes the variable as an input to the classification algorithm. Liu et al. showed that this variable selection feature of discretization is beneficial for classification².

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