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404Dreamer_ML
  • Member for 13 years, 7 months
  • Last seen more than 5 years ago
  • Tunis, Tunisia
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Improving the SVM classification of diabetes
Normalize the data is the best thing to start. Begin by that. You can also try to search also non-linear kernel may should show a better result. (It depends of your frontier prevision, may be normalizing should be enough)
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Clustering spatial data in R
If any answer helped you or you find out another way it is better to give us, so all community will take advantage of that. Or choose an answer to close the question, thx.
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Two poisson random variables and likelihood ratio test
adding the R tag better to get answers for this question.
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