Hi, I'm trying to train a model with multiple classes (text mining) and I'm using the LibSVMLearner with a linear kernel type. The problem is that it always creates 2 support vectors for the last class (whichever that may be). This makes it very biased towards that class so that anything I apply the model on is classified as that last class.
How can I avoid this? I'm quite new to the program and data mining so I may have just missed something obvious.
Thanks in advance!