Shufang W posted on Thursday, August 02, 2012 - 6:43 pm
I understand that entropy is a measure for classification quality and 0.8+ indicates a good classification.
I am fitting a GMM. There are about 45% missing values in the repeatedly measured outcomes. I suppose that the classification could not be very good,i.e. the entropy couldn't be very high given such a high proportion of missing data. I wonder whether you know the relationship between missing proportion and reasonable cutpoint of entropy. The highest entropy I can get is around .77. Do you think it's fairly high?