{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nimport os\nimport matplotlib.pylab as plt\nprint(os.listdir(\"../input\"))","execution_count":1,"outputs":[{"output_type":"stream","text":"['last-10-subs-data', 'lanl-submissions', 'LANL-Earthquake-Prediction']\n","name":"stdout"}]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","collapsed":true,"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":false},"cell_type":"markdown","source":"![](https://files.slack.com/files-pri/TJ8UK7F1Q-FK90XAA3G/img_20190602_173521.png)"},{"metadata":{},"cell_type":"markdown","source":"# Assumptions\n- Test set in that image are the same in this competition.\n- There are 9 Quakes in the test set with max TTF:\n    - 11 sec\n    - 11 sec\n    - 11 sec\n    - 5 sec\n    - 10 sec\n    - 15 sec\n    - 7 sec\n    - 15 sec to 10 sec"},{"metadata":{"trusted":true},"cell_type":"code","source":"samp_per_second = 31\nttf_array = np.concatenate([np.linspace(11, 0, samp_per_second * 11),\n                np.linspace(11, 0, samp_per_second * 11),\n                np.linspace(11, 0, samp_per_second * 11),\n                np.linspace(5, 0, samp_per_second * 5),\n                np.linspace(10, 0, samp_per_second * 10),\n                np.linspace(15, 0, samp_per_second * 15),\n                np.linspace(7, 0, samp_per_second * 7),\n                np.linspace(15, 10, samp_per_second * 5)])\nss = pd.read_csv('../input/LANL-Earthquake-Prediction/sample_submission.csv')\nss_simulated = pd.DataFrame(ttf_array, columns=['time_to_failure'])\nss_simulated.plot(figsize=(15, 5))","execution_count":2,"outputs":[{"output_type":"execute_result","execution_count":2,"data":{"text/plain":"<matplotlib.axes._subplots.AxesSubplot at 0x7ff6c1b8a048>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x360 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"ss_simulated.agg(['mean','median'])","execution_count":3,"outputs":[{"output_type":"execute_result","execution_count":3,"data":{"text/plain":"        time_to_failure\nmean           5.913333\nmedian         5.412037","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>time_to_failure</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>mean</th>\n      <td>5.913333</td>\n    </tr>\n    <tr>\n      <th>median</th>\n      <td>5.412037</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"sub1352 = pd.read_csv('../input/lanl-submissions/LB1.352_submission_147.csv')\nsub1389 = pd.read_csv('../input/lanl-submissions/LB1.389_submissionverson_one.csv')\nsub1362 = pd.read_csv('../input/lanl-submissions/LB1.362_submission_147.csv')\nsub1371 = pd.read_csv('../input/lanl-submissions/LB1.371_submission_137.csv')\nsub1380 = pd.read_csv('../input/lanl-submissions/LB1.380_submission.csv')\nsub1381 = pd.read_csv('../input/lanl-submissions/LB1.381_submission_147.csv')\nsub1389 = pd.read_csv('../input/lanl-submissions/LB1.389_submissionverson_one.csv')\nsub_50feats = pd.read_csv('../input/lanl-submissions/submission_50feats_peaks 9000ks.csv')\n\nss['sub1.352'] = sub1352['time_to_failure']\nss['sub1.389'] = sub1389['time_to_failure']\nss['sub1.362'] = sub1362['time_to_failure']\nss['sub1.371'] = sub1371['time_to_failure']\nss['sub1.380'] = sub1380['time_to_failure']\nss['sub1.381'] = sub1381['time_to_failure']\nss['sub1.389'] = sub1389['time_to_failure']\nss['simulated'] = ss_simulated['time_to_failure']","execution_count":7,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Compare Distributions"},{"metadata":{"trusted":true},"cell_type":"code","source":"ss_simulated.plot(kind='hist', bins= 100, figsize=(15, 5), alpha=0.5)\nsub1352['time_to_failure'].plot(kind='hist', bins= 100, figsize=(15, 5), label='1.352 SUB', alpha=0.5)\nsub1389['time_to_failure'].plot(kind='hist', bins= 100, figsize=(15, 5), label='1.389 SUB', alpha=0.5)\nsub1362['time_to_failure'].plot(kind='hist', bins= 100, figsize=(15, 5), label='1.362 SUB', alpha=0.5)\nplt.legend()\nplt.show()","execution_count":8,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x360 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"ss.agg(['mean','median'])","execution_count":9,"outputs":[{"output_type":"execute_result","execution_count":9,"data":{"text/plain":"        time_to_failure       ...        sub1863_2283CV\nmean                0.0       ...              4.690853\nmedian              0.0       ...              4.048971\n\n[2 rows x 18 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>time_to_failure</th>\n      <th>sub1.352</th>\n      <th>sub1.389</th>\n      <th>sub1.362</th>\n      <th>sub1.371</th>\n      <th>sub1.380</th>\n      <th>sub1.381</th>\n      <th>simulated</th>\n      <th>sub1350_2037CV</th>\n      <th>sub1355_2038CV</th>\n      <th>sub1383_1991CV</th>\n      <th>sub1388_2086CV</th>\n      <th>sub1404_2009CV</th>\n      <th>sub1432_xgb</th>\n      <th>sub1529_xgb</th>\n      <th>sub1532_1948CV</th>\n      <th>sub1534_2092CV</th>\n      <th>sub1863_2283CV</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>mean</th>\n      <td>0.0</td>\n      <td>5.036651</td>\n      <td>5.608539</td>\n      <td>5.198344</td>\n      <td>4.897558</td>\n      <td>5.499909</td>\n      <td>5.491079</td>\n      <td>5.913333</td>\n      <td>5.003089</td>\n      <td>4.973409</td>\n      <td>4.916806</td>\n      <td>5.321881</td>\n      <td>4.873406</td>\n      <td>5.751348</td>\n      <td>5.905072</td>\n      <td>5.456124</td>\n      <td>5.029913</td>\n      <td>4.690853</td>\n    </tr>\n    <tr>\n      <th>median</th>\n      <td>0.0</td>\n      <td>4.697758</td>\n      <td>5.056110</td>\n      <td>4.846402</td>\n      <td>4.424708</td>\n      <td>5.131707</td>\n      <td>5.129596</td>\n      <td>5.412037</td>\n      <td>4.458852</td>\n      <td>4.439515</td>\n      <td>4.416439</td>\n      <td>4.857533</td>\n      <td>4.314198</td>\n      <td>5.354137</td>\n      <td>5.459199</td>\n      <td>5.024674</td>\n      <td>4.597988</td>\n      <td>4.048971</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"sub1389.agg(['mean','median'])","execution_count":10,"outputs":[{"output_type":"execute_result","execution_count":10,"data":{"text/plain":"        time_to_failure\nmean           5.608539\nmedian         5.056110","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>time_to_failure</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>mean</th>\n      <td>5.608539</td>\n    </tr>\n    <tr>\n      <th>median</th>\n      <td>5.056110</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"ss.sort_values('sub1.352').reset_index()['sub1.352'].plot(figsize=(15, 10), title='Compare TTF of simulated vs. Submissions')\nss.sort_values('sub1.389').reset_index()['sub1.389'].plot(figsize=(15, 10), title='Compare TTF of simulated vs. Submissions')\nss.sort_values('sub1.362').reset_index()['sub1.362'].plot(figsize=(15, 10), title='Compare TTF of simulated vs. Submissions')\nss.sort_values('sub1.371').reset_index()['sub1.371'].plot(figsize=(15, 10), title='Compare TTF of simulated vs. Submissions')\nss.sort_values('sub1.380').reset_index()['sub1.380'].plot(figsize=(15, 10), title='Compare TTF of simulated vs. Submissions')\nss.sort_values('sub1.381').reset_index()['sub1.381'].plot(figsize=(15, 10), title='Compare TTF of simulated vs. Submissions')\nss.sort_values('simulated').reset_index()['simulated'].plot(figsize=(15, 10), title='Compare TTF of simulated vs. Submissions')\n\nplt.xlabel('Sample Sorted')\nplt.ylabel('Time to Fault')\nplt.legend()\nplt.show()","execution_count":11,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x720 with 1 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\n"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"markdown","source":"# Last 10 Subs"},{"metadata":{"trusted":true},"cell_type":"code","source":"sub1350_2037CV = pd.read_csv('../input/last-10-subs-data/1350_submission_lgb_FINALSHUFFLED_2.037CV_123Feats_24000Rows.csv')\nsub1355_2038CV = pd.read_csv('../input/last-10-subs-data/1355_submission_lgb_FINALSHUFFLED_2.038CV_119Feats_24000Rows.csv')\nsub1383_1991CV = pd.read_csv('../input/last-10-subs-data/1383_submission_lgb_FINALSHUFFLED_1.991CV_120Feats_24000Rows.csv')\nsub1388_2086CV = pd.read_csv('../input/last-10-subs-data/1398_submission_lgb_FINALSHUFFLED_2.086CV_138Feats_24000Rows.csv')\nsub1404_2009CV = pd.read_csv('../input/last-10-subs-data/1404_submission_lgb_FINALSHUFFLED_2.009CV_116Feats_24000Rows.csv')\nsub1432_xgb = pd.read_csv('../input/last-10-subs-data/1432_submission_xgb_FINALSHUFFLED.csv')\nsub1529_xgb = pd.read_csv('../input/last-10-subs-data/1529_submission_xgb_FINALSHUFFLED.csv')\nsub1532_1948CV = pd.read_csv('../input/last-10-subs-data/1532_submission_lgb_1.948CV_110Feats_24000Rows_15Fold.csv')\nsub1534_2092CV = pd.read_csv('../input/last-10-subs-data/1534_submission_lgb_FINALSHUFFLED_2.092CV_24Feats_24000Rows.csv')\nsub1863_2283CV = pd.read_csv('../input/last-10-subs-data/1863_submission_lgb_FINALSHUFFLED_2.283CV_17Feats_24000Rows.csv')\n\nss['sub1350_2037CV'] = sub1350_2037CV['time_to_failure']\nss['sub1355_2038CV'] = sub1355_2038CV['time_to_failure']\nss['sub1383_1991CV'] = sub1383_1991CV['time_to_failure']\nss['sub1388_2086CV'] = sub1388_2086CV['time_to_failure']\nss['sub1404_2009CV'] = sub1404_2009CV['time_to_failure']\nss['sub1432_xgb'] = sub1432_xgb['time_to_failure']\nss['sub1529_xgb'] = sub1529_xgb['time_to_failure']\nss['sub1532_1948CV'] = sub1532_1948CV['time_to_failure']\nss['sub1534_2092CV'] = sub1534_2092CV['time_to_failure']\nss['sub1863_2283CV'] = sub1863_2283CV['time_to_failure']","execution_count":12,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"ss.agg(['mean','median'])","execution_count":13,"outputs":[{"output_type":"execute_result","execution_count":13,"data":{"text/plain":"        time_to_failure       ...        sub1863_2283CV\nmean                0.0       ...              4.690853\nmedian              0.0       ...              4.048971\n\n[2 rows x 18 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>time_to_failure</th>\n      <th>sub1.352</th>\n      <th>sub1.389</th>\n      <th>sub1.362</th>\n      <th>sub1.371</th>\n      <th>sub1.380</th>\n      <th>sub1.381</th>\n      <th>simulated</th>\n      <th>sub1350_2037CV</th>\n      <th>sub1355_2038CV</th>\n      <th>sub1383_1991CV</th>\n      <th>sub1388_2086CV</th>\n      <th>sub1404_2009CV</th>\n      <th>sub1432_xgb</th>\n      <th>sub1529_xgb</th>\n      <th>sub1532_1948CV</th>\n      <th>sub1534_2092CV</th>\n      <th>sub1863_2283CV</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>mean</th>\n      <td>0.0</td>\n      <td>5.036651</td>\n      <td>5.608539</td>\n      <td>5.198344</td>\n      <td>4.897558</td>\n      <td>5.499909</td>\n      <td>5.491079</td>\n      <td>5.913333</td>\n      <td>5.003089</td>\n      <td>4.973409</td>\n      <td>4.916806</td>\n      <td>5.321881</td>\n      <td>4.873406</td>\n      <td>5.751348</td>\n      <td>5.905072</td>\n      <td>5.456124</td>\n      <td>5.029913</td>\n      <td>4.690853</td>\n    </tr>\n    <tr>\n      <th>median</th>\n      <td>0.0</td>\n      <td>4.697758</td>\n      <td>5.056110</td>\n      <td>4.846402</td>\n      <td>4.424708</td>\n      <td>5.131707</td>\n      <td>5.129596</td>\n      <td>5.412037</td>\n      <td>4.458852</td>\n      <td>4.439515</td>\n      <td>4.416439</td>\n      <td>4.857533</td>\n      <td>4.314198</td>\n      <td>5.354137</td>\n      <td>5.459199</td>\n      <td>5.024674</td>\n      <td>4.597988</td>\n      <td>4.048971</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"submit = pd.read_csv('../input/LANL-Earthquake-Prediction/sample_submission.csv')","execution_count":14,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"submit['time_to_failure'] = ss[['sub1.380','sub1.381','sub1529_xgb','sub1532_1948CV','sub1432_xgb']].mean(axis=1)","execution_count":20,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"submit.agg(['mean','median'])","execution_count":21,"outputs":[{"output_type":"execute_result","execution_count":21,"data":{"text/plain":"        time_to_failure\nmean           5.620706\nmedian         5.178536","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>time_to_failure</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>mean</th>\n      <td>5.620706</td>\n    </tr>\n    <tr>\n      <th>median</th>\n      <td>5.178536</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"ss_simulated.plot(kind='hist', bins= 100, figsize=(15, 5), alpha=0.5)\nsubmit['time_to_failure'].plot(kind='hist', bins= 100, figsize=(15, 5), alpha=0.5)\nplt.show()","execution_count":24,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x360 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"submit.to_csv('blend_5_including2xgb.csv', index=False)","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}