# Classification datasets with categorical features and a lot of classes [closed]

As stated in the title I would like to find some classification datasets with $c \ge 5$ classes and one categorical feature or more. It is even fine if there are some continuous features but I would like at least a categorical one.

I have some genetic datasets where features take values in $\{ G, T, A, C\}$ but unfortunately the class is binary.

I have a method that should improve the accuracy performance on those dataset. I used some of UCI datasets but I need more of them to show a significant $p$-value that states the improvement of performances.

• Let me see if I get this: you get a performance increase for every data set. And then you use some test statistic that aggregates those performance increases? And now you need more data sets so you can get a higher sample size for calculating the test statistic und thus get a low p value for the test statistic? – Momo Oct 8 '12 at 1:00
• Yes, I would like to have more datasets too see if I can a low p-value for the test statistic. – Simone Oct 8 '12 at 1:02
• OK, thanks. As a side note: Unless I am missing something, I don't think that is a valid approach. You need to have the sample size fixed before you conduct your test, else you invalidate the statistical analysis imo, as you now found the p value was to high and need new data. However, you could think of using a sequential test procedure that adds the result from one additional dataset, than calculates the test than tells you H0, Ha or look for more data. – Momo Oct 8 '12 at 1:11