{
  "id": 89607,
  "title": "Notes from a Related Paper",
  "url": "/competitions/LANL-Earthquake-Prediction/discussion/89607",
  "author_name": "",
  "post_date": "2019-04-16T05:37:51.499053400Z",
  "votes": 44,
  "comment_count": 12,
  "views": 0,
  "content": "<p>Hi all,</p>\n\n<p>I took some interesting notes 📝 from the <strong>Machine Learning Predicts Laboratory Earthquakes</strong> paper mentioned by the competition organizers. I'd like to share them in case somebody doesn't want to read the whole paper.</p>\n\n<p>You can find the notes on this Github page</p>\n\n<p>🔗 <a href=\"https://github.com/ammar1y/LANL-Earthquake-Prediction-Competition\"><strong>https://github.com/ammar1y/LANL-Earthquake-Prediction-Competition</strong></a></p>\n\n<p>Hope you find them useful  </p>\n\n<hr>\n\n<p>The paper: <a href=\"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017GL074677\">link</a></p>",
  "messages": [
    {
      "id": "517501",
      "postDate": "04/16/2019 05:37:51",
      "content": "<p>Hi all,</p>\n\n<p>I took some interesting notes 📝 from the <strong>Machine Learning Predicts Laboratory Earthquakes</strong> paper mentioned by the competition organizers. I'd like to share them in case somebody doesn't want to read the whole paper.</p>\n\n<p>You can find the notes on this Github page</p>\n\n<p>🔗 <a href=\"https://github.com/ammar1y/LANL-Earthquake-Prediction-Competition\"><strong>https://github.com/ammar1y/LANL-Earthquake-Prediction-Competition</strong></a></p>\n\n<p>Hope you find them useful  </p>\n\n<hr>\n\n<p>The paper: <a href=\"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017GL074677\">link</a></p>",
      "rawMarkdown": "Hi all,\n\nI took some interesting notes 📝 from the **Machine Learning Predicts Laboratory Earthquakes** paper mentioned by the competition organizers. I'd like to share them in case somebody doesn't want to read the whole paper.\n\nYou can find the notes on this Github page\n\n🔗 [**https://github.com/ammar1y/LANL-Earthquake-Prediction-Competition**](https://github.com/ammar1y/LANL-Earthquake-Prediction-Competition)\n\nHope you find them useful  \n\n---\n\nThe paper: [link](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017GL074677)",
      "votes": null
    },
    {
      "id": "518787",
      "postDate": "04/17/2019 19:44:05",
      "content": "<p>Thanks for the notes! They're definitely helpful.</p>",
      "rawMarkdown": "Thanks for the notes! They're definitely helpful.",
      "votes": null
    },
    {
      "id": "518971",
      "postDate": "04/18/2019 06:54:12",
      "content": "<p>You're welcome :)</p>",
      "rawMarkdown": "You're welcome :)",
      "votes": null
    },
    {
      "id": "519019",
      "postDate": "04/18/2019 08:25:05",
      "content": "<p>helpful</p>",
      "rawMarkdown": "helpful",
      "votes": null
    },
    {
      "id": "519799",
      "postDate": "04/19/2019 16:51:46",
      "content": "<p>Thank you! I was never sure about excluding the segments with quakes until now.</p>",
      "rawMarkdown": "Thank you! I was never sure about excluding the segments with quakes until now.",
      "votes": null
    },
    {
      "id": "519930",
      "postDate": "04/19/2019 20:36:43",
      "content": "<p>Awesome notes for anyone new to physics of earthquakes. Thanks for the link. 👍 </p>",
      "rawMarkdown": "Awesome notes for anyone new to physics of earthquakes. Thanks for the link. 👍",
      "votes": null
    },
    {
      "id": "520893",
      "postDate": "04/22/2019 00:16:13",
      "content": "<p>This paper says Random Forest Classifier worked file. Not Regressor model.\nI tried Conv1D classifier, but got bad MAE score. And many seems to use Regression model. Which is better do you think?</p>",
      "rawMarkdown": "This paper says Random Forest Classifier worked file. Not Regressor model.\nI tried Conv1D classifier, but got bad MAE score. And many seems to use Regression model. Which is better do you think?",
      "votes": null
    },
    {
      "id": "521783",
      "postDate": "04/23/2019 12:20:19",
      "content": "<p>There is a Random Forest model for regression provided by Scikit-Learn library. I think you should never use a classifier for this problem.</p>",
      "rawMarkdown": "There is a Random Forest model for regression provided by Scikit-Learn library. I think you should never use a classifier for this problem.",
      "votes": null
    },
    {
      "id": "531793",
      "postDate": "05/15/2019 14:53:31",
      "content": "<p>I've made similar mistake, the output of classifier is categorical but that of regression is continuous.</p>",
      "rawMarkdown": "I've made similar mistake, the output of classifier is categorical but that of regression is continuous.",
      "votes": null
    },
    {
      "id": "531795",
      "postDate": "05/15/2019 14:55:29",
      "content": "<p>Good read, thanks.</p>",
      "rawMarkdown": "Good read, thanks.",
      "votes": null
    },
    {
      "id": "531855",
      "postDate": "05/15/2019 16:39:19",
      "content": "<p>agree.</p>",
      "rawMarkdown": "agree.",
      "votes": null
    },
    {
      "id": "535331",
      "postDate": "05/22/2019 17:52:29",
      "content": "<p>Thank you Ammar, really nice work with the notes!</p>",
      "rawMarkdown": "Thank you Ammar, really nice work with the notes!",
      "votes": null
    },
    {
      "id": "569332",
      "postDate": "07/06/2019 13:23:03",
      "content": "<p>helpfull.</p>",
      "rawMarkdown": "helpfull.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 518787,
      "author_name": "solved",
      "author_url": "",
      "post_date": "04/17/2019 19:44:05",
      "content": "<p>Thanks for the notes! They're definitely helpful.</p>",
      "votes": null,
      "replies": [
        {
          "id": 518971,
          "author_name": "ammar111",
          "author_url": "",
          "post_date": "04/18/2019 06:54:12",
          "content": "<p>You're welcome :)</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 519019,
      "author_name": "daftintrovert",
      "author_url": "",
      "post_date": "04/18/2019 08:25:05",
      "content": "<p>helpful</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 519799,
      "author_name": "jovalrama",
      "author_url": "",
      "post_date": "04/19/2019 16:51:46",
      "content": "<p>Thank you! I was never sure about excluding the segments with quakes until now.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 519930,
      "author_name": "yassinealouini",
      "author_url": "",
      "post_date": "04/19/2019 20:36:43",
      "content": "<p>Awesome notes for anyone new to physics of earthquakes. Thanks for the link. 👍 </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 520893,
      "author_name": "toshiharuokada",
      "author_url": "",
      "post_date": "04/22/2019 00:16:13",
      "content": "<p>This paper says Random Forest Classifier worked file. Not Regressor model.\nI tried Conv1D classifier, but got bad MAE score. And many seems to use Regression model. Which is better do you think?</p>",
      "votes": null,
      "replies": [
        {
          "id": 521783,
          "author_name": "ammar111",
          "author_url": "",
          "post_date": "04/23/2019 12:20:19",
          "content": "<p>There is a Random Forest model for regression provided by Scikit-Learn library. I think you should never use a classifier for this problem.</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 531793,
          "author_name": "vivaroma",
          "author_url": "",
          "post_date": "05/15/2019 14:53:31",
          "content": "<p>I've made similar mistake, the output of classifier is categorical but that of regression is continuous.</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 531855,
          "author_name": "youshaamurhij",
          "author_url": "",
          "post_date": "05/15/2019 16:39:19",
          "content": "<p>agree.</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 569332,
          "author_name": "maisjamal",
          "author_url": "",
          "post_date": "07/06/2019 13:23:03",
          "content": "<p>helpfull.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 531795,
      "author_name": "vivaroma",
      "author_url": "",
      "post_date": "05/15/2019 14:55:29",
      "content": "<p>Good read, thanks.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 535331,
      "author_name": "antaresnyc",
      "author_url": "",
      "post_date": "05/22/2019 17:52:29",
      "content": "<p>Thank you Ammar, really nice work with the notes!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "517501": "Hi all,\n\nI took some interesting notes 📝 from the **Machine Learning Predicts Laboratory Earthquakes** paper mentioned by the competition organizers. I'd like to share them in case somebody doesn't want to read the whole paper.\n\nYou can find the notes on this Github page\n\n🔗 [**https://github.com/ammar1y/LANL-Earthquake-Prediction-Competition**](https://github.com/ammar1y/LANL-Earthquake-Prediction-Competition)\n\nHope you find them useful  \n\n---\n\nThe paper: [link](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017GL074677)",
    "518787": "Thanks for the notes! They're definitely helpful.",
    "518971": "You're welcome :)",
    "519019": "helpful",
    "519799": "Thank you! I was never sure about excluding the segments with quakes until now.",
    "519930": "Awesome notes for anyone new to physics of earthquakes. Thanks for the link. 👍",
    "520893": "This paper says Random Forest Classifier worked file. Not Regressor model.\nI tried Conv1D classifier, but got bad MAE score. And many seems to use Regression model. Which is better do you think?",
    "521783": "There is a Random Forest model for regression provided by Scikit-Learn library. I think you should never use a classifier for this problem.",
    "531793": "I've made similar mistake, the output of classifier is categorical but that of regression is continuous.",
    "531795": "Good read, thanks.",
    "531855": "agree.",
    "535331": "Thank you Ammar, really nice work with the notes!",
    "569332": "helpfull."
  },
  "source": "meta"
}