Page 228 of version 7 of Mahout in Action says : Log-likelihood has a maximum value of zero and no bound on how far negative it can go. For highly accurate classifiers, the value of average log-likelihood should be close to the average percent correct for the classifier times the number of target categories.
Average percent correct times the number of target categories is more than 0, while Log-likelihood is always less than 0, then is the above statement correct ? On Tue, May 31, 2011 at 10:45 PM, Xiaobo Gu <[email protected]> wrote: > Does it mean the percent of records that the model has correctlly > predicted the target on the validate protion of the data set, then it > should be between 0 and 1, and the bigger the better performance of > the model ? > > Regards, > > Xiaobo Gu >
