Combining feature selection methods (filter and wrapper)
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Hello, I designed an integrated framework for feature selection which combines feature ranking techniques with sequential forward feature selection to find the optimal subset of the most informative features. I implemented this framework using MATLAB functions ( rankfeatures and sequentialfs ) on two microarray data (breast cancer and leukemia). The results were fluctuated between them, it was high accuracy for breast cancer and lower for leukemia. Is there any theoretical base behind this fluctuation in results.
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