Choosing a Machine Learning Classifier Edwin Chen's Blog
Apr 27, 2011 . Of course, if you really care about accuracy, your best bet is to test out a couple . If your training set is small, high bias/low variance classifiers (e.g., Naive . class B in the mid range of feature x, and A again at the high end).
Choosing what kind of classifier to use Stanford NLP Group
When confronted with a need to build a text classifier, the first question to ask is how . Regardless, the quality of the model will be adversely affected by the limited . The best way to do this is to insert yourself into a process where humans will.