public string Predict(T record)
{
if (mSplitVariableName == DecisionTree.DecisionTree <T> .ClassVariableName)
{
return(PredictedLabel);
}
else
{
string featureValue = record[mSplitVariableName];
if (record.IsCategorical(mSplitVariableName))
{
if (mChildren.ContainsKey(featureValue))
{
DecisionTreeNode <T> child = mChildren[featureValue];
return(child.Predict(record));
}
else
{
return(null);
}
}
else
{
double numericFeatureValue = 0;
if (double.TryParse(featureValue, out numericFeatureValue))
{
foreach (string key in mChildren.Keys)
{
if (key.StartsWith("<="))
{
double cutoff = double.Parse(key.Replace("<=", "").Trim());
if (numericFeatureValue <= cutoff)
{
return(mChildren[key].Predict(record));
}
}
else
{
double cutoff = double.Parse(key.Replace(">", "").Trim());
if (numericFeatureValue > cutoff)
{
return(mChildren[key].Predict(record));
}
}
}
}
else
{
List <string> keys = mChildren.Keys.ToList();
string selectedKey = keys[RandomEngine.NextInt(keys.Count)];
return(mChildren[selectedKey].Predict(record));
}
}
}
return(null);
}
public string Predict(T record)
{
return(mRootNode.Predict(record));
}
