Hi, I am experimenting Mahout for text classification. I have 2 million training data i.e text of approximately 20 words. They fall into 121 categories. I tried AdaptiveLogisticRegression. When I create sparse vector of cardinality 10000, it takes hours to converge, but when I tried with 100 it converges fast. Is this measure very significant in determining the accuracy of the model? Please advise.
Regards, Anand.C
