{"cells":[{"metadata":{},"cell_type":"markdown","source":"Reference\n- [kaggle - LANL-Earthquake-Prediction/discussion/91583#527970](https://www.kaggle.com/c/LANL-Earthquake-Prediction/discussion/91583#527970)"},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import pandas as pd\nfrom pathlib import Path","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"%ls ../input/LANL-Earthquake-Prediction/","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"dataset_path = Path(\"../input/LANL-Earthquake-Prediction/\")\nsubmit_path = dataset_path / \"sample_submission.csv\"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# read sample_submission.csv\nsub = pd.read_csv(submit_path)\nsub.head()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Try this !\n> Mean (as already been discussed, submission with 0 constant) - 4.017"},{"metadata":{"trusted":true},"cell_type":"code","source":"target_col = \"time_to_failure\"\nall_zeros = sub.copy()\nall_zeros[target_col] = 0\n# save submit\nall_zeros.to_csv(\"baseline_probe_0.0.csv\", index=False)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"![lanl_all_0.PNG](attachment:lanl_all_0.PNG)","attachments":{"lanl_all_0.PNG":{"image/png":"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"}}},{"metadata":{},"cell_type":"markdown","source":"> For 11, 10, 9: 6.982, 5.982, 5.017. Maximum value is less than 10. We could get better estimate by reducing step, but since it is unlikely that public set is randomly sampled (given the mean and the maximum value), finding the best fit in train set could be an option."},{"metadata":{"trusted":true},"cell_type":"code","source":"for score in [10, 20, 30]:\n    sub = sub.copy()\n    sub[target_col] = score\n    # save submit\n    sub.to_csv(\"baseline_probe_{}.csv\".format(score), index=False)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### submit all 10\n![submit_all10.PNG](attachment:submit_all10.PNG)\n### submit all 20\n![submit_all20.PNG](attachment:submit_all20.PNG)\n### submit all 30\n![lanl_all_30.PNG](attachment:lanl_all_30.PNG)","attachments":{"submit_all10.PNG":{"image/png":"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