title: Feature selection using genetic algorithm
body: <p>I have  taken a data set of total 140 images out of which 100 (50 normal and 50 abnormal) images are used for training of classifier and 40 (20 normal and 20 abnormal) images for testing purpose.</p>
  
  <p>I have used intensity based (Wavelet transform, Symmetry), shape based (area, perimeter circularity) and texture based (Energy, Entropy, Contrast, Correlation, Inverse difference moment)as feature set. Now i want to reduce this feature set using genetic algorithm.</p>
  
  <p>In the research paper the fitness function is given as (0.05*number)+Accuracy+Sensitivity+Specificity 
  where number is a coefficient equal to the number of not selected features.
  How i will know accuracy, sensitivity and specificity before applying to classifier???</p>