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 | Pack auc -- prolog/auc.pl |
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This module computes the Area Under the Receiving Operating Characteristics 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.
- 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 ascending 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
- a list LG of pairs probability-literal in ascending 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
- 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 ascending 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
- a list LG of pairs probability-literal in ascending 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
- compute_maxacc(+LG:list, -MaxAcc) is det
- The predicate takes as input
- a list LG of pairs probability-literal in ascending 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
- a list LG of pairs probability-literal in ascending 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