Predicting vehicle prices using machine learning: a case study with linear regression

HIGHLIGHTS

• What: This section focuses on the key findings on linear regression model.
• Who: Jiahao He from the University of Washington, Seattle, United State have published the Article: Predicting Vehicle Prices Using Machine Learning: A Case Study with Linear Regression, in the : Proceedings of the 5th International Conference on Signal Processing and Machine Learning
• How: The models were evaluated using the Mean Squared Error (MSE) and R-squared values.
• Future: Future studies could explore non-linear transformations of the input features or the target variable (e_g logarithmic or square root transformations) to . . .
  

   

  

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