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Feature distributions are close to, but not exactly the same, as the original. Feel free to use the original dataset as part of this competition, both to explore differences as well as to see whether incorporating the original in training improves model performance.\n\n## Files\n*train.csv* - the training dataset; Premium Amount is the continuous target\u003cbr\u003e\n*test.csv* - the test dataset; your objective is to predict target Premium Amount for each row\u003cbr\u003e\n*sample_submission.csv* - a sample submission file in the correct format\u003cbr\u003e\n\n## Result\nRanked 984 on my first Kaggle competition, good learning curve, onto next one!\n\u003cimg width=\"1092\" alt=\"Screenshot 2025-01-28 at 4 47 15 PM\" src=\"https://github.com/user-attachments/assets/d4cd9fa4-7fca-427f-9781-5df6b50a205f\" /\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaroshfarhan%2Fkaggle-playground-s4e12","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsaroshfarhan%2Fkaggle-playground-s4e12","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaroshfarhan%2Fkaggle-playground-s4e12/lists"}