In the k-nearest neighbor classication framework. K designates the number of nearest neighbors. As K increases, then typically C] 1.the training mean squared error increases and the test mean squared error rate decreases. [j 2. the bias increases and the variance decreases. D 3. the prediction power becomes higher as we take into account more neighboring points. [:1 4. the test error rate decreases and the training error rate increases. C] 5. the variance increases and the bias decreases