{
  "id": 100740,
  "title": "Fast and easy way to check LB",
  "url": "/competitions/aptos2019-blindness-detection/discussion/100740",
  "author_name": "",
  "post_date": "2019-07-20T15:26:47.706867100Z",
  "votes": 10,
  "comment_count": 2,
  "views": 0,
  "content": "<p>```\nimport os\nimport pandas as pd\nfrom io import StringIO</p>\n\n<p>s = \"\"\"id_code,diagnosis\n0005cfc8afb6,0\n...  &lt;&lt;&lt; your predict HERE&gt;&gt;&gt;\nffdc2152d455,0\n\"\"\"</p>\n\n<p>s = StringIO(s)\npredict = pd.read_csv(s)\ntest_df = pd.read_csv(\"../input/aptos2019-blindness-detection/test.csv\")</p>\n\n<p>sub = pd.merge(test_df, predict, on='id_code', how='left').fillna(0)\nsub[\"diagnosis\"] = sub[\"diagnosis\"].astype(int)\nsub.to_csv(\"submission.csv\", index=False)</p>\n\n<p>```\nbased on <a href=\"https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/98879\">https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/98879</a></p>",
  "messages": [
    {
      "id": "580691",
      "postDate": "07/20/2019 15:26:47",
      "content": "<p>```\nimport os\nimport pandas as pd\nfrom io import StringIO</p>\n\n<p>s = \"\"\"id_code,diagnosis\n0005cfc8afb6,0\n...  &lt;&lt;&lt; your predict HERE&gt;&gt;&gt;\nffdc2152d455,0\n\"\"\"</p>\n\n<p>s = StringIO(s)\npredict = pd.read_csv(s)\ntest_df = pd.read_csv(\"../input/aptos2019-blindness-detection/test.csv\")</p>\n\n<p>sub = pd.merge(test_df, predict, on='id_code', how='left').fillna(0)\nsub[\"diagnosis\"] = sub[\"diagnosis\"].astype(int)\nsub.to_csv(\"submission.csv\", index=False)</p>\n\n<p>```\nbased on <a href=\"https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/98879\">https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/98879</a></p>",
      "rawMarkdown": "```\nimport os\nimport pandas as pd\nfrom io import StringIO\n\ns = \"\"\"id_code,diagnosis\n0005cfc8afb6,0\n...  &lt;&lt;&lt; your predict HERE&gt;&gt;&gt;\nffdc2152d455,0\n\"\"\"\n\ns = StringIO(s)\npredict = pd.read_csv(s)\ntest_df = pd.read_csv(\"../input/aptos2019-blindness-detection/test.csv\")\n\nsub = pd.merge(test_df, predict, on='id_code', how='left').fillna(0)\nsub[\"diagnosis\"] = sub[\"diagnosis\"].astype(int)\nsub.to_csv(\"submission.csv\", index=False)\n\n```\nbased on https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/98879",
      "votes": null
    },
    {
      "id": "582819",
      "postDate": "07/23/2019 16:26:40",
      "content": "<p>Thanks for sharing👍 </p>",
      "rawMarkdown": "Thanks for sharing👍",
      "votes": null
    },
    {
      "id": "588167",
      "postDate": "07/30/2019 08:39:58",
      "content": "<p>Thanks, it helped me a lot!</p>",
      "rawMarkdown": "Thanks, it helped me a lot!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 582819,
      "author_name": "ccjoshua",
      "author_url": "",
      "post_date": "07/23/2019 16:26:40",
      "content": "<p>Thanks for sharing👍 </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 588167,
      "author_name": "nemethpeti",
      "author_url": "",
      "post_date": "07/30/2019 08:39:58",
      "content": "<p>Thanks, it helped me a lot!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "580691": "```\nimport os\nimport pandas as pd\nfrom io import StringIO\n\ns = \"\"\"id_code,diagnosis\n0005cfc8afb6,0\n...  &lt;&lt;&lt; your predict HERE&gt;&gt;&gt;\nffdc2152d455,0\n\"\"\"\n\ns = StringIO(s)\npredict = pd.read_csv(s)\ntest_df = pd.read_csv(\"../input/aptos2019-blindness-detection/test.csv\")\n\nsub = pd.merge(test_df, predict, on='id_code', how='left').fillna(0)\nsub[\"diagnosis\"] = sub[\"diagnosis\"].astype(int)\nsub.to_csv(\"submission.csv\", index=False)\n\n```\nbased on https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/98879",
    "582819": "Thanks for sharing👍",
    "588167": "Thanks, it helped me a lot!"
  },
  "source": "meta"
}