On Tue, May 31, 2011 at 11:54 PM, Ted Dunning <[email protected]> wrote: > Argh.... > > log-likelihood should approach the percentage of INcorrect answers > (negated).
Then we just only to see if the average log likeliyhood is closer to 0 to determine the perfmonce of the model, regardless the relationship between it and percentage of INcorrect or correct answers? > On Tue, May 31, 2011 at 7:49 AM, Xiaobo Gu <[email protected]> wrote: > >> 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 >> > >> >
