[pymvpa] Sensitivity analysis

[Roberto Guidotti]

Dear all,

I'm struggling with sensitivity analysis. As non-expert MVP analyzer I have
some question with respect to this topic:

1) In PyMVPA we have a sensitivity analyzer for each classifier which gives
us the importance of dataset features, in the form of a vector of #feature
values. These values indicates if a feature is enrolled in the
classification task, but not if a feature is more sensitive to a class
rather than others. Is there a procedure to understand this or I'm
misunderstanding sensitivity analysis?

2) Do you know some papers/lectures/book chapter/ books where can I learn
how to understand classifier feature importance? not only in neuroimaging
analysis but in general. Thank you!


Thank you for your attention
RG
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