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The outcome variable (Drift) needs to be scaled to get meaningful performance. That, or tune epsilon, but that I think would be more problematic for students to do and to justify without a proper knowledge of the algorithm
Explicitly mention that formula 1 to 11 in the paper should be explained following both lessons on SVM, so they can see the correspondence between SVM for classification and regression.
Maybe explicitly say what input features they need to use. They seemed to have a hard time finding this info in the paper.
The outcome variable (Drift) needs to be scaled to get meaningful performance. That, or tune epsilon, but that I think would be more problematic for students to do and to justify without a proper knowledge of the algorithm
Explicitly mention that formula 1 to 11 in the paper should be explained following both lessons on SVM, so they can see the correspondence between SVM for classification and regression.
Maybe explicitly say what input features they need to use. They seemed to have a hard time finding this info in the paper.