title: Weka : How to prepare test set in weka
body: <p>I have been using SVM classifier with the following data </p>
  
  <pre><code>@relation whatever
  
  @attribute mfe numeric
  @attribute GB numeric
  @attribute GTB numeric
  @attribute Seeds numeric
  @attribute ABP numeric
  @attribute AU_Seed numeric
  @attribute GC_Seed numeric
  @attribute GU_Seed numeric
  @attribute UP numeric
  @attribute AU numeric
  @attribute GC numeric
  @attribute GU numeric
  @attribute A-U_L numeric
  @attribute G-C_L numeric
  @attribute G-U_L numeric
  @attribute (G+C) numeric
  @attribute MFEi1 numeric
  @attribute MFEi2 numeric
  @attribute MFEi3 numeric
  @attribute MFEi4 numeric
  @attribute dG numeric
  @attribute dP numeric
  @attribute dQ numeric
  @attribute dD numeric
  @attribute Outcome {Yes,No}
  
  
  @data
  -24.3,1,18,2,9,4,3,0.5,8,10,7,1,0.454545455,0.318181818,0.045454545,7,-0.157792208,-0.050206612,-1.104545455,-1.35,-1.104545455,0,0,0,Yes
  -24.8,2,15,2,7.5,2,3,1,7,5,8,2,0.208333333,0.333333333,0.083333333,8,-0.129166667,-0.043055556,-0.516666667,-1.653333333,-1.033333333,0,0,0,No
  -24.4,1,16,3,5.333333333,1.666666667,2.666666667,1,4,5,8,3,0.217391304,0.347826087,0.130434783,8,-0.132608696,-0.046124764,-1.060869565,-1.525,-1.060869565,0,0,0,Yes
  -24.2,1,18,2,9,2,2.5,1,10,5,11,2,0.227272727,0.5,0.090909091,11,-0.1,-0.05,-1.1,-1.344444444,-1.1,0,0,0,Yes
  -24.5,3,17,2,8.5,2,3,1,5,6,9,2,0.272727273,0.409090909,0.090909091,9,-0.123737374,-0.050619835,-0.371212121,-1.441176471,-1.113636364,-0.12244898,0,0,Yes
  </code></pre>
  
  <p>This is my training set . And in this its defined whether my data is yes class or no class. My question is my test data is from unknown source and i dont have idea to what class it belongs. so how to prepare my test set. without the outcome attribute weka is giving the "ereor: Data mismatch " . How to prepare the test set? to separate my variable as Yes and nO class using SVM. </p>