Hi,
No expert here, either but there are also feature selection classes which
compute the score per feature.
A simple example would be the f_classif, which in a very broad way measures
how a certain feature varies across all the classes to how a feature varies
in a particular class (a naive explanation).
Intuitively if this ratio is lower for a feature as compared to the other
features it means that the feature is noisy (it varies a lot in a
particular class itself) and can be excluded.
You can have a look here for more details http://goo.gl/jsmEqd
HTH
Manoj
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