This comes under the heading of "inventing good features". In real data mining projects, easily 90% of the effort goes into this sort of activity. If you have a really good, cheap feature, it is criminal not to expose that feature to the classifier.
If you don't really have the feature because it is expensive or requires a time machine to derive, then obviously you have to do something different. One thing that you said that worried me is your comment about putting a really high weight on the feature. I am surprised that this was required. On Wed, Sep 21, 2011 at 8:22 AM, Loic Descotte <[email protected]>wrote: > Did someone experienced this kind of things? Do you have advices? Or is it > just a wrong idea? >
