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The questions are based on reading term paper and evaluating it as per the questions asked
Attached is the term paper and below are the questions that need to be answered
1. What are the arguments for using a neighborhood analysis approach for AML-ALL class predication? Indicate if you agree or disagree with their approach.
2. What was their overall prediction success with cross validation? Comment on the meaning of this result.
3. What are the arguments for using a self-organizing map approach for class discovery?Indicate if you agree or disagree with their approach.
4. How do you evaluate the overall quality of the paper? Are there some potential improvements that can be made to improve the performances on the class prediction and class discovery techniques described in the paper?
5. What will be your approach(es) if you intend to solve the class prediction/discovery problem discussed in the paper? How do you expect the pros and cons of your approach?
(Note: you don't have to implement your approach(es) to answer this question.)
Attachment:- Golub_et_al_1999.pdf
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