I tried Characteristic Relevance process, but the many values of variables are previously mentioned 0.05, so does it imply that all the variables have tiny relation Together with the predicted price?
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You are calling update_v with a lot of parameters. Just one of those parameters is vs. Nevertheless, that is certainly The very first time in that purpose that vs seems. The variable vs does not have a worth affiliated with it still. Try initializing it initially, along with your mistake should really disappear
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Update Mar/2018: Included alternate website link to down load the dataset as the initial seems to are taken down.
I was questioning if I could Create/train A further product (say SVM with RBF kernel) using the capabilities from SVM-RFE (wherein the kernel used is often a linear kernel).
Commonly, I recommend concentrating on the whole process of Functioning by way of a predictive modeling issue conclude-to-close:
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