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Based on the data set compiled by D. D. Cock and the competition run by kaggle.com, we propose a house prices prediction algorithm in Ames, lowa by deliberating on data processing, feature engineering and combination forecasting. Our prediction ranks the 35th of the total 2221 results on the public leaderboard of Kaggle.com and the RMSE of predicted results after taking logarithm from all the test data is 0.12019, which shows good performance and small of over-fitting.
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Fan et al. (2018) studied this question.
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