Output attribute is risky patient. Values are yes and no. If yes then patient is risky, and if no then patient is not risky.
If I am combining 3 classifier for classification model in weka, and if final result will be calculated by average voting:
For Exp: Classifier 1 result- yes, Classifier 2 result- no, Classifier 3 result- yes,
count of yes=2, count of no=1
Final result will be yes as it's count is high. This is understandable.
But if I am combing 2 classifier,
For Exp: Classifier 1 result-yes, Classifier 2 result-no
count of yes=1, count of no=1
Now, What will be result? As yes and no has same count value.
How is weka working in case of this kind of combination of two multiple classifier? It's really confusing..