Attribute Information:
1. DS_Name categorical Name of DataSet
2. T continuous Number of examples in test set
3. N continuous Number of examples
4. p continuous Number of attributes
5. k continuous Number of classes
6. Bin continuous Number of binary Attributes
7. Cost continuous Cost (1=yes,0=no)
8. SDratio continuous Standard deviation ratio
9. correl continuous Mean correlation between attributes
10. cancor1 continuous First canonical correlation
11. cancor2 continuous Second canonical correlation
12. fract1 continuous First eigenvalue
13. fract2 continuous Second eigenvalue
14. skewness continuous Mean of |E(X-Mean)|^3/STD^3
15. kurtosis continuous Mean of |E(X-Mean)|^4/STD^4
16. Hc continuous Mean entropy of attributes
17. Hx continuous Entropy of classes
18. MCx continuous Mean mutual entropy of class and attributes
19. EnAtr continuous Equivalent number of attributes
20. NSRatio continuous Noise-signal ratio
21. Alg_Name categorical Name of Algorithm
22. Norm_error continuous Normalized Error (continuous class)