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"SVM or Regression from data in database - how to??"
So far, I'm very impressed and a bit overwhemled by all the options it has.
I was hoping someone could help me design a model/workflow in the GUI for a simple problem.
-My data is stored in MYSQL (I do understand how to use DatabaseExampleSource to access the raw data
-The input is 4 columns. The first is a unique ID, the next 2 are various features (numbers), the last column is the result.
Fields: ID, first_measure, Second_measure, resulting_score
Example Data: 1, 13.5, 57.2, 6.12312313
I would like to use RM to create a "predictor" for this data. Build a model based on many training examples. One thought is regression, the other is an SVM. I might also expand into a model with 50-60 features. In that case, it would be nice to use some kind of genetic algorithm to learn the best features and correlation for the most accurate prediction.
As I wrote above, I can connect to my database and select the data. I'm not sure what to do with the data once I have it.