The cross-validation devides the data into n folds and measures the accuracy n times therefore. The displayed RMSE in the Test & Score tool is a mean of all n runs, I think. But is it possible to get the mean coefficents of regression as well?

At the moment my process looks like this:
1. Loading data from a csv with one target and some features. All are numerical data.
2. Rank features. Use the most important two features
3. Use Test&Score with a linear Ridge Regression learner to quantify the regression. I'm using the cross-validation with ten folds in the Test&Score tool.

wanted mean of coefficients for each fold


In this case the data table shows the coefficients independent from the Test & Score tool. Even if I delete the Test & Score thing, there will be no changes on the regression coefficients.

thanks for Your help

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