Auction Price Estimation for Used Cars by Regression Methods(Competition 1)

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概要

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• In predicting the prices for auctions, we often use linear regression methods where the objective variable is the price. To find the estimate for price, we apply regularization methods in regression such as the ridge, lasso, and their relatives. In used car auctions, these methods provide very similar accuracy in the sense of the RMSE, the root-mean-squared error. However, we have found that the accuracy becomes higher when we use the k nearest-neighbor (k-NN) regression method with selected variables via the linear regression methods to this kind of auctions.

• 2011-11-11

著者

• Hirose Hideo

  Graduate School Of Information Sciences And Engineering Kyushu Institute Of Technology

関連論文

• Auction Price Estimation for Used Cars by Regression Methods(Competition 1)

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