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Attribute Priority
Contributor I
I have a dataset with three attributes and their corresponding weight.
In my evaluation I model I want to assign each attribute a weight that corresponds to its percentage. So for example in the first row EC12 would have 60% of the total weight. My aim is to find out which code contributes to the Success and how with how much weight. I hope I am making some sense 
Since I am new to Data Mining from Java Programming I am at loss of how to solve this issue in RapidMiner.
My last resort is to write a java program that would be too complicated. Please suggest some tips on how to proceed with evaluating this data
| Economic Code 1 | Percentage | Economic Code 2 | Percentage | Economic Code 3 | Percentage | Success |
| EC12 | 60% | EC13 | 30% | EC14 | 10% | Yes |
| EC13 | 60% | EC15 | 20% | EC12 | 20% | No |
| EC19 | 30% | EC13 | 50% | EC14 | 10% | Yes |
Since I am new to Data Mining from Java Programming I am at loss of how to solve this issue in RapidMiner.
My last resort is to write a java program that would be too complicated. Please suggest some tips on how to proceed with evaluating this data
0
Answers
I have answered your request here:
http://rapid-i.com/rapidforum/index.php/topic,2897
Please don't double post.
Cheers,
Ingo