Question: 6. As we decrease k in the k-nearest neighbor algorithm, it is possible for RMSE (validation) to go up. True or False 7. Suppose we
6. As we decrease k in the k-nearest neighbor algorithm, it is possible for RMSE (validation) to go up.
True or False
7. Suppose we have a 100 observations for variables X and Y and we implement k-nearest neighbors. A fit based on k = 90 is a more flexible fit than k = 3?
True or False
10. With small data sets, nonparametric approaches tend to produce more accurate estimates of the underlying model than parametric models.
True or False
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