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predictors [2010/09/30 03:09]
imedina
predictors [2011/03/10 12:27] (current)
evidal
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 3) Now  try with svm with no //feature selection// method, which one performs better? SVM or KNN 3) Now  try with svm with no //feature selection// method, which one performs better? SVM or KNN
  
-4) To finish ​yoi can try SVM with CFS //feature selection// method, how many features were selected? why it matches KNN with CFS?+4) To finish ​you can try SVM with CFS //feature selection// method, how many features were selected? why it matches KNN with CFS?
  
 5) Finally, which is the bes combination?​ why is SVM doing better alon than with CFS?  5) Finally, which is the bes combination?​ why is SVM doing better alon than with CFS? 
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 === Some test exercises === === Some test exercises ===
  
-Now we mas select the option **Train and test** and select datatraingolub and datatestgolub:​+Now we select the option **Train and test** and select datatraingolub and datatestgolub:​
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 {{:​images:​predictors:​predictor_test_form.jpg|}} {{:​images:​predictors:​predictor_test_form.jpg|}}
predictors.txt ยท Last modified: 2011/03/10 12:27 by evidal
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