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Update notes-validation.tex #219

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2 changes: 1 addition & 1 deletion topic05_LearningFromData_Overfitting/notes-validation.tex
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Expand Up @@ -102,7 +102,7 @@
%We now revisit Chapter 4

\noindent
Model selection is the processes of selecting the best hyperparameters for a learning problem.
Model selection is the process of selecting the best hyperparameters for a learning problem.
It is the most important step in real-world data mining tasks.
We've partially discussed model selection in preparation for midterm 2.
There are some subtle ``gotchas'' about model selection,
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