{
  "id": 197893,
  "title": "understanding the dataset",
  "url": "/competitions/rfcx-species-audio-detection/discussion/197893",
  "author_name": "",
  "post_date": "2020-11-18T16:20:28.624679500Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>hie team ,<br>\nI am new to this kaggle as well as for this challange<br>\nmy doubts are mighty be silly but still i want to know. <br>\n1-&gt; what is train_fp and train_tp<br>\n2-&gt; number of rows in combine train_tp and train_fp are 8997 but it is given only 4727 audio file in train folder. <br>\n3-&gt;What is tfrec is it related to tensorflow. </p>\n<p>Alittle help would be appriciated. </p>",
  "messages": [
    {
      "id": "1083125",
      "postDate": "11/18/2020 16:20:28",
      "content": "<p>hie team ,<br>\nI am new to this kaggle as well as for this challange<br>\nmy doubts are mighty be silly but still i want to know. <br>\n1-&gt; what is train_fp and train_tp<br>\n2-&gt; number of rows in combine train_tp and train_fp are 8997 but it is given only 4727 audio file in train folder. <br>\n3-&gt;What is tfrec is it related to tensorflow. </p>\n<p>Alittle help would be appriciated. </p>",
      "rawMarkdown": "hie team ,\nI am new to this kaggle as well as for this challange\nmy doubts are mighty be silly but still i want to know. \n1-> what is train_fp and train_tp\n2-> number of rows in combine train_tp and train_fp are 8997 but it is given only 4727 audio file in train folder. \n3->What is tfrec is it related to tensorflow. \n\nAlittle help would be appriciated.",
      "votes": null
    },
    {
      "id": "1083213",
      "postDate": "11/18/2020 18:06:42",
      "content": "<ol>\n<li>train_fp - Is the CSV with false positive entries, which a previous model detected wrong<br>\ntrain_tp - Is the CSV with true positive entries, which a previous model detected right</li>\n<li>Each entry in train_fp and train_tp can occur multiple times because each entry includes a different species, that means that you can find multiple entries for the column \"recording_id\"</li>\n<li>Yes its related to tensorflow, see: <a href=\"https://www.kaggle.com/gauravchopracg/understanding-tfrecord-format\" target=\"_blank\">https://www.kaggle.com/gauravchopracg/understanding-tfrecord-format</a></li>\n</ol>",
      "rawMarkdown": "1. train_fp - Is the CSV with false positive entries, which a previous model detected wrong\n   train_tp - Is the CSV with true positive entries, which a previous model detected right\n2. Each entry in train_fp and train_tp can occur multiple times because each entry includes a different species, that means that you can find multiple entries for the column \"recording_id\"\n3. Yes its related to tensorflow, see: https://www.kaggle.com/gauravchopracg/understanding-tfrecord-format",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1083213,
      "author_name": "aliabdin1",
      "author_url": "",
      "post_date": "11/18/2020 18:06:42",
      "content": "<ol>\n<li>train_fp - Is the CSV with false positive entries, which a previous model detected wrong<br>\ntrain_tp - Is the CSV with true positive entries, which a previous model detected right</li>\n<li>Each entry in train_fp and train_tp can occur multiple times because each entry includes a different species, that means that you can find multiple entries for the column \"recording_id\"</li>\n<li>Yes its related to tensorflow, see: <a href=\"https://www.kaggle.com/gauravchopracg/understanding-tfrecord-format\" target=\"_blank\">https://www.kaggle.com/gauravchopracg/understanding-tfrecord-format</a></li>\n</ol>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1083125": "hie team ,\nI am new to this kaggle as well as for this challange\nmy doubts are mighty be silly but still i want to know. \n1-> what is train_fp and train_tp\n2-> number of rows in combine train_tp and train_fp are 8997 but it is given only 4727 audio file in train folder. \n3->What is tfrec is it related to tensorflow. \n\nAlittle help would be appriciated.",
    "1083213": "1. train_fp - Is the CSV with false positive entries, which a previous model detected wrong\n   train_tp - Is the CSV with true positive entries, which a previous model detected right\n2. Each entry in train_fp and train_tp can occur multiple times because each entry includes a different species, that means that you can find multiple entries for the column \"recording_id\"\n3. Yes its related to tensorflow, see: https://www.kaggle.com/gauravchopracg/understanding-tfrecord-format"
  },
  "source": "meta"
}