Find answers to your questions and expand your knowledge with IDNLearn.com. Discover in-depth and reliable answers to all your questions from our knowledgeable community members who are always ready to assist.
In this exercise, you will investigate the use of a k-NN classifier on the Stock Market data used in the lab lesson, and in particular you will investigate the bias/variance trade-off behind the choice of k. • Split the Stock Market data into a train and test partition, using the same criterion adopted in the lab lesson (temporal split). • Using Lag1 and Lag2 as predictors, fit a k-NN classifier with different values of k (for example, from 1 to 100). • Evaluate the train and test errors of each model and plot them as a function of 1/k.
Sagot :
Thank you for participating in our discussion. We value every contribution. Keep sharing knowledge and helping others find the answers they need. Let's create a dynamic and informative learning environment together. Thank you for trusting IDNLearn.com. We’re dedicated to providing accurate answers, so visit us again for more solutions.
