culebra.fitness_function.feature_selection module

Fitness functions related to feature selection.

This module is composed by:

• The abc sub-module, where some abstract base classes are defined to support fitness functions developed in this module

• Some single-objective scoring fitness functions:

  • Accuracy: Single-objective function that maximizes the Accuracy for classification problems.

  • FeatsProportion: Dummy single-objective function that minimizes the number of selected features from a Dataset. The difference with NumFeats is just that FeatsProportion returns a normalized number in [0, 1].

  • KappaIndex: Single-objective function that maximizes the Kohen’s Kappa index for classification problems.

  • NumFeats: Dummy single-objective function that minimizes the number of selected features from a Dataset.