ex_fuzzy.rule_mining.prune_rules_confidence_lift#

ex_fuzzy.rule_mining.prune_rules_confidence_lift(x, y, rules, fuzzy_variables, confidence_threshold=0.5, lift_threshold=1.05)[source]#

Removes the rules from the rule base that do not meet a minimum value for confidence and lift measures.

Confidence is the ratio of rules that have a particular antecedent and consequent, and those that only have the antecedent. Lift is ratio between confidence and expected confidence, which is the percentage of class samples in the original data.

Parameters:

  • x (DataFrame) – data to mine. samples x features.

  • y (array) – class vector.

  • rules (MasterRuleBase) – MasterRuleBase object with the rules to prune.

  • fuzzy_variables (list[fuzzyVariable]) – a list of the fuzzy variables per antecedent.

  • confidence_threshold (float) – minimum confidence required to the rules.

  • lift_threshold (float) – minimum lift required to the rules.