private List <Patient.Classification> WekaClassify()
{
//getting index of selected input patient
int inputId = Convert.ToInt32(txtNum.Text);
int inputIndex = inputList.FindIndex(x => x.ID == inputId);
Patient selectedPatient = inputList[inputIndex];
List <Patient.Classification> j48Classification = new List <Patient.Classification>();
List <Patient.Classification> nngeClassification = new List <Patient.Classification>();
j48ClassifiedRule.Clear();
nngeClassifiedRule.Clear();
double j48Accuracy = 0;
//iterating through models
for (int modeli = 0; modeli < wekaModels.Count; modeli++)
{
if (modeli == 0)
{
inputList[inputIndex].J48ModelAccuracy = wekaModels[modeli].Accuracy;
}
else
{
inputList[inputIndex].NNgeAccuracy = wekaModels[modeli].Accuracy;
}
//iterating through model rules
for (int rulei = 0; rulei < wekaModels[modeli].Rules.Count; rulei++)
{
bool match = false;
//iterating through ruleitems
for (int ruleItemi = 0; ruleItemi < wekaModels[modeli].Rules[rulei].RuleItems.Count; ruleItemi++)
{
RuleItem ruleItem = wekaModels[modeli].Rules[rulei].RuleItems[ruleItemi];
int attributeIndex = patientFeatures.IndexOf(ruleItem.Feature) - 1;
double patientValue = selectedPatient.GetSingleAttribute(attributeIndex);
List <double> ruleVals = ruleItem.GetValues();
List <RuleItem.Operators> ruleOps = ruleItem.GetOps();
for (int i = 0; i < ruleVals.Count; i++)
{
if (ruleOps[i] == RuleItem.Operators.Equal)
{
if (patientValue == ruleVals[i])
{
match = true;
}
else
{
match = false;
break;
}
}
else if (ruleOps[i] == RuleItem.Operators.Less)
{
if (patientValue < ruleVals[i])
{
match = true;
}
else
{
match = false;
break;
}
}
else if (ruleOps[i] == RuleItem.Operators.Greater)
{
if (patientValue > ruleVals[i])
{
match = true;
}
else
{
match = false;
break;
}
}
else if (ruleOps[i] == RuleItem.Operators.LessOrEqual)
{
if (patientValue <= ruleVals[i])
{
match = true;
}
else
{
match = false;
break;
}
}
else if (ruleOps[i] == RuleItem.Operators.GreatorOrEqual)
{
if (patientValue >= ruleVals[i])
{
match = true;
}
else
{
match = false;
break;
}
}
}
if (!match)
{
break;
}
}
if (match)
{
if (modeli == 0)
{
j48Accuracy = wekaModels[modeli].Rules[rulei].Accuracy;
inputList[inputIndex].J48RuleAccuracy = j48Accuracy;
j48Classification.Add(wekaModels[modeli].Rules[rulei].Classification);
j48ClassifiedRule.Add(rulei);
}
else
{
nngeClassification.Add(wekaModels[modeli].Rules[rulei].Classification);
nngeClassifiedRule.Add(rulei);
}
}
}
}
if (j48Classification.Count > 0)
{
inputList[inputIndex].J48Diagnosis = MostFrequentClass(j48Classification);
}
else
{
inputList[inputIndex].J48Diagnosis = Patient.Classification.Unknown;
}
if (nngeClassification.Count > 0)
{
inputList[inputIndex].NngeDiagnosis = MostFrequentClass(nngeClassification);
}
else
{
inputList[inputIndex].NngeDiagnosis = Patient.Classification.Unknown;
}
return(new List <Patient.Classification> {
inputList[inputIndex].J48Diagnosis, inputList[inputIndex].NngeDiagnosis
});
}
