Jamie Riden wrote:

> The real problem in ML seems to be finding good, accurately labelled
> training data :(

On the other hand, any system which needs clean (or accurately labeled)
training data will be of no use in the real world, as you will never
have clean training data on real world systems :-)

The problem is much more general, and related to evaluation of ANY IDS,
not just machine learning approaches.

Don't get me started on this once more... :p

Stefano

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