Open up201704738 opened 2 years ago
Hi everyone,
I have a strange output where the same antecedent with different consequent has different support values. Isn't support only calculated with antecedent frequency on the dataset?
This is my output:
`RelationRecord(items=frozenset({'1 seg_actrab', '0 seg_auto'}), support=0.02740837419309323, ordered_statistics=[OrderedStatistic(items_base=frozenset({'1 seg_actrab'}), items_add=frozenset({'0 seg_auto'}), confidence=0.5803921568627451, lift=3.41041294536262)])
RelationRecord(items=frozenset({'1 seg_actrab', '1 seg_outros'}), support=0.012584218138205934, ordered_statistics=[OrderedStatistic(items_base=frozenset({'1 seg_actrab'}), items_add=frozenset({'1 seg_outros'}), confidence=0.2664799253034547, lift=3.2735085700043927)])`
Hi everyone,
I have a strange output where the same antecedent with different consequent has different support values. Isn't support only calculated with antecedent frequency on the dataset?
This is my output:
`RelationRecord(items=frozenset({'1 seg_actrab', '0 seg_auto'}), support=0.02740837419309323, ordered_statistics=[OrderedStatistic(items_base=frozenset({'1 seg_actrab'}), items_add=frozenset({'0 seg_auto'}), confidence=0.5803921568627451, lift=3.41041294536262)])
RelationRecord(items=frozenset({'1 seg_actrab', '1 seg_outros'}), support=0.012584218138205934, ordered_statistics=[OrderedStatistic(items_base=frozenset({'1 seg_actrab'}), items_add=frozenset({'1 seg_outros'}), confidence=0.2664799253034547, lift=3.2735085700043927)])`