thanks for reply.
BTW, in a False Negative - does that not mean it flagged something spam that was not spam? If so, my statistics are incorrect as it claims only 4 False Negatives (67%) and ony 2 False Positives which is not true. I had 2 emails today alone that were deleted as spam, but were in fact just fine and that normally do not get filtered out as spam?? And I have had many that got through or time, but should not have ( a False Positive).
And yes, I DO train by using the scripts to Train Good ones that get flagged as spam and Train Bad ones that slip through. So, I would think the Statistics would show this as 2 and 4 are simply not correct and it seems it could only know 2 or 4 based on my training it when it made errors which I have done many more than 6 times.