Quote:
Originally Posted by MLearning
It is my understanding that "fresh data" refers to cross-validation data. Do we then compute Eout using the weights obtained in problem 5?
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It is simpler than cross validation (a topic that will be covered in detail in a later lecture). You just generate new data points that were not involved in training and evaluate the final hypothesis
on those points.
The final hypothesis is indeed the one whose weights were determined in Problem 5, where the training took place.