{
  "id": 519299,
  "title": "134th solution",
  "url": "/competitions/leash-BELKA/discussion/519299",
  "author_name": "EISLab_hwlee",
  "post_date": "2024-07-10T15:07:54.659000",
  "votes": 5,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I learned using AutoGluon.<br>\nThe data preprocessing process used the following method of notebook.</p>\n<p><a href=\"https://www.kaggle.com/code/andrewdblevins/leash-tutorial-ecfps-and-random-forest\" target=\"_blank\">https://www.kaggle.com/code/andrewdblevins/leash-tutorial-ecfps-and-random-forest</a></p>\n<p>AutoGluon's preset was optimize_for_deployment to speed up learning.</p>\n<p>Finally, we sensemble the following two models.</p>\n<p>1)<br>\ngenerate_ecfp : bits=1024<br>\ndata size : 1,500,000 x 2</p>\n<p>2)<br>\ngenerate_ecfp : bits=2048<br>\ndata size : 960,000 x 2</p>\n<p>thank you</p>",
  "messages": [
    {
      "id": 2915572,
      "postDate": "2024-07-10T15:07:54.660Z",
      "content": "<p>I learned using AutoGluon.<br>\nThe data preprocessing process used the following method of notebook.</p>\n<p><a href=\"https://www.kaggle.com/code/andrewdblevins/leash-tutorial-ecfps-and-random-forest\" target=\"_blank\">https://www.kaggle.com/code/andrewdblevins/leash-tutorial-ecfps-and-random-forest</a></p>\n<p>AutoGluon's preset was optimize_for_deployment to speed up learning.</p>\n<p>Finally, we sensemble the following two models.</p>\n<p>1)<br>\ngenerate_ecfp : bits=1024<br>\ndata size : 1,500,000 x 2</p>\n<p>2)<br>\ngenerate_ecfp : bits=2048<br>\ndata size : 960,000 x 2</p>\n<p>thank you</p>",
      "rawMarkdown": "I learned using AutoGluon.\nThe data preprocessing process used the following method of notebook.\n\nhttps://www.kaggle.com/code/andrewdblevins/leash-tutorial-ecfps-and-random-forest\n\nAutoGluon's preset was optimize_for_deployment to speed up learning.\n\nFinally, we sensemble the following two models.\n\n1)\ngenerate_ecfp : bits=1024\ndata size : 1,500,000 x 2\n\n2)\ngenerate_ecfp : bits=2048\ndata size : 960,000 x 2\n\nthank you",
      "votes": 5
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2915572": "I learned using AutoGluon.\nThe data preprocessing process used the following method of notebook.\n\nhttps://www.kaggle.com/code/andrewdblevins/leash-tutorial-ecfps-and-random-forest\n\nAutoGluon's preset was optimize_for_deployment to speed up learning.\n\nFinally, we sensemble the following two models.\n\n1)\ngenerate_ecfp : bits=1024\ndata size : 1,500,000 x 2\n\n2)\ngenerate_ecfp : bits=2048\ndata size : 960,000 x 2\n\nthank you"
  }
}