Regression SVM
I'd like to develop the model for this case quickly:
my data in an excel file
I want to check the SVM method of this model with quick miner,
my question is how to import this data into excel and build its SVM model??
Input1 | Input2 | Input3 | Response | ResponseSVM |
0,4 | 170 | 0,1 | 4,2 | 4,22 |
0,4 | 170 | 0,13 | 5,9 | 4,45 |
0,4 | 170 | 0,16 | 4,55 | 4,57 |
0,4 | 190 | 0,1 | 3,38 | 3,95 |
0,4 | 190 | 0,13 | 5,44 | 4,3 |
0,4 | 190 | 0,16 | 5,87 | 4,6 |
0,4 | 210 | 0,1 | 3,8 | 4,05 |
0,4 | 210 | 0,13 | 3,9 | 4,12 |
0,4 | 210 | 0,16 | 4,2 | 4,17 |
0,8 | 170 | 0,1 | 3,2 | 3,95 |
0,8 | 170 | 0,13 | 3,87 | 3,88 |
0,8 | 170 | 0,16 | 3,42 | 3,43 |
0,8 | 190 | 0,1 | 4,09 | 3,48 |
0,8 | 190 | 0,13 | 4,27 | 3,42 |
0,8 | 190 | 0,16 | 3,09 | 3,33 |
0,8 | 210 | 0,1 | 3,2 | 2,96 |
0,8 | 210 | 0,13 | 3,28 | 3,26 |
0,8 | 210 | 0,16 | 3,21 | 3,34 |
Best Answer
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rfuentealba RapidMiner Certified Analyst, Member, University Professor Posts: 568 Unicorn
Hi @saidi_riadh
There is an operator called Read Excel. That is the first thing you have to do to build your model. You might want to clean up your data, as I loaded it here and it assumed that the numbers separated with commas were text, not numbers.
Read Excel operator
That is, for starters. Then you might want to train your model: another operator called SVM creates a model, and then you are done: that model is applied to new data via the Apply Model operator, you have to do that.
There are other things such as Validation and Parameter Optimization that are out of this scope as of now. Let us know how to help.
All the best,
0
Answers
thanks for helping