So  what we see that  is  there is that um  uh the way we were doing this was not correct , but  still  the networks  are very good. When we use the networks  our number are better that  uh Pratibha results.
We improve.
So , do you know what was wrong with the on - line normalization , or  ?
Yeah. There were diff there were different things and  basically ,  the first thing is the mmm ,  alpha uh  value. So , the recursion  uh  part. um ,  I used point five percent ,  which was the default value in the   in the programs here. And Pratibha used five percent.