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2 votes
0 answers
165 views

Is better to use a multiclass classifier or a set of binary classifiers?

I have to build a general method to perform multiclass classification. The number of class in the target variable is not fixed (it is probably in a range between 3 and 10). I would like to know if it ...
A1010's user avatar
  • 213
2 votes
0 answers
639 views

Naive Bayes - Good for Binary Data?

I have 92 observations with 92 variables. Every observation is a binary outcome (0=no, 1=yes), indicating if that observation co-occurs with a given feature in the feature set. I have 18 classes which ...
lrthistlethwaite's user avatar
4 votes
3 answers
2k views

Can a nuisance multi-class classifier do better than binary classifier?

This is rather a theoretical question in order to save the trouble in trying to do empirical testing and is part of a bet, so I hope I am right... Say there are M classes in the data BUT you want to ...
Hanan Shteingart's user avatar
1 vote
1 answer
3k views

Transform multiclass classification to binary - benefits?

I have 400 instances which must be categorized into 4 classes. Using WEKA, I tried out a couple of multiclass classifiers like J48 and Random Forests, but never made it above Kappa 0.6 and ~65% ...
grssnbchr's user avatar
  • 634
1 vote
0 answers
697 views

Binary Classification of Multiple Groups

I've ran across a type of classification problem that I don't think fits into the traditional multi-class framework. Just wanted to run it across you guys to see if you had any ideas. So Lets say we ...
Michael's user avatar
  • 2,471