This is a soft-question: I have been evaluation various regression techniques over a regression dataset that I have. I am surprised by the fact that cross-validated RMSE of Lasso is better than SVM and Random Forest in my case. Can this happen?- I mean, I believed that a non-linear modeling technique like random forest or SVM would do better than a linear model like Lasso.

Is that really possible!?

I have been evaluation various regression techniques over a regression dataset . I am surprised by the fact that cross-validated RMSE of Lasso is better than SVM and Random Forest in my case. 

Can this happen? I believed that a non-linear modelling technique like random forest or SVM would do better than a linear model like Lasso.

Is that really possible!?

This is a soft-question: I have been evaluation various regression techniques over a regression dataset that I have. I am surprised by the fact that cross-validated RMSE of Loess is better than SVM and Random Forest in my case. Can this happen?- I mean, I believed that a non-linear modeling technique like random forest or SVM would do better than a linear model like Loess.

Is that really possible!?

This is a soft-question: I have been evaluation various regression techniques over a regression dataset that I have. I am surprised by the fact that cross-validated RMSE of Lasso is better than SVM and Random Forest in my case. Can this happen?- I mean, I believed that a non-linear modeling technique like random forest or SVM would do better than a linear model like Lasso.

Is that really possible!?