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AutoPricePred

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Machine learning regression model predicting 1985 automobile prices. Lasso model achieves 91.7% R² with superior generalization over XGBoost. Handles extreme multicollinearity (VIF 16,676→8.36), data leakage detection, and outlier treatment through PCA and domain-driven feature engineering.

automobile-pricing-algorithmcross-validationdata-analysisdata-sciencefeature-engineeringhyperparameter-tuningjupyter-notebooklasso-regressionmachine-learningmodel-comparison
Creat：2025-03-01T04:58:52
Update：2025-11-06T13:46:08
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