Skip to Content

Equal Frequency

Context

Algorithm Details & Recommendations

  • The Equal Frequency algorithm defines thresholds so that each interval contains the same number of observations.
  • This approach typically produces a uniform distribution.
  • As a result, the shape of the original density function is no longer apparent upon discretization.
  • This also leads to an artificial increase in the entropy of the system, directly affecting the complexity of machine-learned models.
  • However, once a structure is learned, this type of discretization can be useful for further increasing the precision of the representation of continuous values.