/*
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*/
package qa.qcri.aidr.predict.classification.nominal;
/**
*
* @author Imran
*/
public class ModelNominalLabelPerformance {
private int nominalLabelID;
private double precision;
private double recall;
private double auc;
private int classifiedDocumentCount;
public ModelNominalLabelPerformance() {
}
public ModelNominalLabelPerformance(int nominalLabelID, double precision, double recall, double auc, int classifiedDocumentCount) {
this.nominalLabelID = nominalLabelID;
this.precision = precision;
this.recall = recall;
this.auc = auc;
this.classifiedDocumentCount = classifiedDocumentCount;
}
/**
* @return the nominalLabelID
*/
public int getNominalLabelID() {
return nominalLabelID;
}
/**
* @param nominalLabelID the nominalLabelID to set
*/
public void setNominalLabelCode(int nominalLabelID) {
this.nominalLabelID = nominalLabelID;
}
/**
* @return the precision
*/
public double getPrecision() {
return precision;
}
/**
* @param precision the precision to set
*/
public void setPrecision(double precision) {
this.precision = precision;
}
/**
* @return the recall
*/
public double getRecall() {
return recall;
}
/**
* @param recall the recall to set
*/
public void setRecall(double recall) {
this.recall = recall;
}
/**
* @return the auc
*/
public double getAuc() {
return auc;
}
/**
* @param auc the auc to set
*/
public void setAuc(double auc) {
this.auc = auc;
}
/**
* @return the classifiedDocumentCount
*/
public int getClassifiedDocumentCount() {
return classifiedDocumentCount;
}
/**
* @param classifiedDocumentCount the classifiedDocumentCount to set
*/
public void setClassifiedDocumentCount(int classifiedDocumentCount) {
this.classifiedDocumentCount = classifiedDocumentCount;
}
}