auc.pl -- auc
This module computes the Area Under the Receiving Operating Charactersitics and
Precision Recall curves using the method of
Davis, Jesse, and Mark Goadrich. "The relationship between Precision-Recall
and ROC curves."
Proceedings of the 23rd international conference on Machine learning. ACM, 2006.
- author
- - Fabrizio Riguzzi
- license
- - Artistic License 2.0
- compute_areas(+LG:list, -AUCROC:float, -ROC:list, -AUCPR:float, -PR:list) is det
- The predicate takes as input
- a list LG of pairs probability-literal in asceding order on probability
where the literal can be an Atom (indicating a positive example) or \+ Atom,
indicating a negative example while the probability is the probability of
Atom of being true
The predicate returns
- AUCROC: the size of area under the ROC curve
- ROC: the ROC curve as a list of points that are couples of the form x-y
- AUCPR: the size of the area under the PR curve
- PR: the PR curve as a list of points that are couples of the form x-y
- compute_areas_diagrams(+LG:list, -AUCROC:float, -ROC:dict, -AUCPR:float, -PR:dict) is det
- The predicate takes as input
- a list LG of pairs probability-literal in asceding order on probability
where the literal can be an Atom (indicating a positive example) or \+ Atom,
indicating a negative example while the probability is the probability of
Atom of being true
The predicate returns
- AUCROC: the size of the area under the ROC curve
- ROC: the ROC curve as a dict that can be visualized with the c3 renderer of
SWISH
- AUCPR: the size of the area under the PR curve
- PR: the PR curve as a dict that can be visualized with the c3 renderer of SWISH
See http://cplint.lamping.unife.it/example/exauc.pl for an example
- compute_maxacc(+LG:list, -MaxAcc) is det
- The predicate takes as input
- a list LG of pairs probability-literal in asceding order on probability
where the literal can be an Atom (indicating a positive example) or \+ Atom,
indicating a negative example while the probability is the probability of
Atom of being true
The predicate returns
- MaxAcc: the maximum obtainable accuracy
See http://cplint.lamping.unife.it/example/exauc.pl for an example