private void calculateRightNWrongN() {
int i, j, nData, evaClass;
boolean stop;
Rule rule;
nData = this.train.size();
for (j = 0; j < this.ruleBase.size(); j++) {
rule = this.ruleBase.get(j);
rule.setIni();
}
this.WrongNDefault = 0;
for (i = 0; i < nData; i++) {
for (j = 0; j < this.ruleBase.size(); j++) {
rule = this.ruleBase.get(j);
rule.matching(train.getExample(i));
}
this.sort();
stop = false;
for (j = 0; j < this.ruleBase.size() && !stop; j++) {
rule = this.ruleBase.get(j);
if (train.getOutputAsInteger(i) == rule.getClas()) {
rule.incrRightN();
stop = true;
} else rule.incrWrongN();
}
}
}
private int FRM_WR(double[] example) {
int clas = -1;
double max = 0.0;
for (int i = 0; i < this.ruleBase.size(); i++) {
Rule r = this.ruleBase.get(i);
double DF = r.matching(example);
if (DF > max) {
max = DF;
clas = r.getClas();
}
}
if (clas < 0) return (0); // 0 is the default class
else return clas;
}
