Testing Your AISee For Yourself
Cross-validation is most often used to choose something, like the degree of the curve. For each degree below, the model is trained once per fold, and the purple curves are the k models. The chart collects the cross-validation error of every degree you try. Complete the three missions.
Degree of the curve:
Number of folds: k =
The cross-validation score of a degree is the
A hidden trade-off
Did you notice that the fold curves disagree more when k = 2? Each of those models learns from only 10 farms. That is the next question: which k should you pick?