Your expectation is right, if you randomly assign labels, you shouldn't 
get more than 50% correct with a large enough dataset.
I imagine there is some issue in how you shuffled the labels. Without 
the code, it is hard to tell.
Are you sure the classes have the same size?

On 04/26/2015 11:22 AM, Fabrizio Fasano wrote:
> Dear Andreas,
>
> Thanks a lot for your help,
>
> about the random assignment of values to my labels y. What I mean is that 
> being suspicious about the too good performances, I changed the labels 
> manually, retaining the 50% 1,0 but in different orders, and the labels were 
> always predicted very well, with accuracy no lower than 60%. I mean, by 
> chance I aspected values lower than 50% as well as values higher than 50%. I 
> didn't perform an exhaustive test (I only did it manually for few 
> combinations)...
>
> Fabrizio
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