506
L. Pimentel da Silva and F. T. de Souza
Box 2 Confusion Matrix for Morbidity of Respiratory Diseases Modeling
Box 3 Rules for Arborization and Morbidity of Respiratory Diseases
Results were similar for both rules, and also for the case of circulatory diseases.
Taking rule 3 as an example, if arborization is over 96% and sanitation is below 12%,
which is A, then morbidity of respiratory diseases per 1000 inhabitants lies in the
medium tercile (10_ < _RD_ < _22), which is B. Of all times that (A) occurred in
the database, (B) might also have occurred; therefore, this rule has a 52.632% (30/57
times 100) confidence. The best would be 100%. Support was 14.286%, which means
that in 14.286% of all instances (57 times), A and B occurred together. Support is
the result of (A ∪ B). And 7.519% of all instances (30 times) would be associated to
the result of (A ∩ B).
L. Pimentel da Silva and F. T. de Souza
Box 2 Confusion Matrix for Morbidity of Respiratory Diseases Modeling
Box 3 Rules for Arborization and Morbidity of Respiratory Diseases
Results were similar for both rules, and also for the case of circulatory diseases.
Taking rule 3 as an example, if arborization is over 96% and sanitation is below 12%,
which is A, then morbidity of respiratory diseases per 1000 inhabitants lies in the
medium tercile (10_ < _RD_ < _22), which is B. Of all times that (A) occurred in
the database, (B) might also have occurred; therefore, this rule has a 52.632% (30/57
times 100) confidence. The best would be 100%. Support was 14.286%, which means
that in 14.286% of all instances (57 times), A and B occurred together. Support is
the result of (A ∪ B). And 7.519% of all instances (30 times) would be associated to
the result of (A ∩ B).