{
  "id": 19237,
  "title": "Team merging",
  "url": "/competitions/second-annual-data-science-bowl/discussion/19237",
  "author_name": "",
  "post_date": "2016-02-29T15:44:40.843Z",
  "votes": 3,
  "comment_count": 1,
  "views": 360,
  "content": "<p>Hello, </p>\n\n<p>Our team is looking to diversify its approach for this competition. We are focusing mainly on CNN segmentation methods (not an end-to-end though). Our score on the public LB is 0.019867 which gives us a nice 28th position. We would like to team up with someone with an LB score below 0.02 . </p>\n\n<p>PM us if you are interested</p>",
  "messages": [
    {
      "id": "109691",
      "postDate": "02/29/2016 15:44:40",
      "content": "<p>Hello, </p>\n\n<p>Our team is looking to diversify its approach for this competition. We are focusing mainly on CNN segmentation methods (not an end-to-end though). Our score on the public LB is 0.019867 which gives us a nice 28th position. We would like to team up with someone with an LB score below 0.02 . </p>\n\n<p>PM us if you are interested</p>",
      "rawMarkdown": "Hello, \r\n\r\nOur team is looking to diversify its approach for this competition. We are focusing mainly on CNN segmentation methods (not an end-to-end though). Our score on the public LB is 0.019867 which gives us a nice 28th position. We would like to team up with someone with an LB score below 0.02 . \r\n\r\nPM us if you are interested",
      "votes": null
    },
    {
      "id": "109704",
      "postDate": "02/29/2016 16:43:22",
      "content": "<p>Hi Chedinho!</p>\n\n<p>Our team is not below 0.2 yet, but we have clear plans for passing this barrier in the nearest future.\nWe are moving in three directions: </p>\n\n<ul>\n<li>contour detection, kriging and area xgboost  </li>\n<li>CNN based regression.</li>\n<li>model-based volume variance modelling</li>\n</ul>\n\n<p>We are very interested in arranging an international cooperation and would love to cooperate!\nFeel free to contact me, if you have any question</p>\n\n<p>All the best.</p>",
      "rawMarkdown": "Hi Chedinho!\r\n\r\nOur team is not below 0.2 yet, but we have clear plans for passing this barrier in the nearest future.\r\nWe are moving in three directions: \r\n\r\n- contour detection, kriging and area xgboost  \r\n- CNN based regression.\r\n- model-based volume variance modelling\r\n\r\nWe are very interested in arranging an international cooperation and would love to cooperate!\r\nFeel free to contact me, if you have any question\r\n\r\nAll the best.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 109704,
      "author_name": "rasimakhunzyanov",
      "author_url": "",
      "post_date": "02/29/2016 16:43:22",
      "content": "<p>Hi Chedinho!</p>\n\n<p>Our team is not below 0.2 yet, but we have clear plans for passing this barrier in the nearest future.\nWe are moving in three directions: </p>\n\n<ul>\n<li>contour detection, kriging and area xgboost  </li>\n<li>CNN based regression.</li>\n<li>model-based volume variance modelling</li>\n</ul>\n\n<p>We are very interested in arranging an international cooperation and would love to cooperate!\nFeel free to contact me, if you have any question</p>\n\n<p>All the best.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "109691": "Hello, \r\n\r\nOur team is looking to diversify its approach for this competition. We are focusing mainly on CNN segmentation methods (not an end-to-end though). Our score on the public LB is 0.019867 which gives us a nice 28th position. We would like to team up with someone with an LB score below 0.02 . \r\n\r\nPM us if you are interested",
    "109704": "Hi Chedinho!\r\n\r\nOur team is not below 0.2 yet, but we have clear plans for passing this barrier in the nearest future.\r\nWe are moving in three directions: \r\n\r\n- contour detection, kriging and area xgboost  \r\n- CNN based regression.\r\n- model-based volume variance modelling\r\n\r\nWe are very interested in arranging an international cooperation and would love to cooperate!\r\nFeel free to contact me, if you have any question\r\n\r\nAll the best."
  },
  "source": "meta"
}