{
  "id": 449074,
  "title": "Where do I find the data to make the prediction for submit?",
  "url": "/competitions/UBC-OCEAN/discussion/449074",
  "author_name": "Miller Quilindo",
  "post_date": "2023-10-23T02:12:17.560000",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hello, I'm a beginner in Kaggle, I don't know what data to make the submit prediction with? In the test data, only one row was found. Thanks.</p>",
  "messages": [
    {
      "id": 2492894,
      "postDate": "2023-10-23T02:22:37.043Z",
      "content": "<p>check /kaggle/input/UBC-OCEAN/test.csv. There are only handful of test images. You don't get access to all test images. Prediction happens behind the scene after submission.</p>\n<p>your output should be a submission.csv file that looks like below. This is mentioned as a part of the overview</p>\n<p>Submission File<br>\nFor each image_id in the test set you must predict a class for the label variable. The file should contain a header and have the following format:</p>\n<p>image_id,label<br>\n2,CC<br>\n5,EC<br>\n6,HGSC<br>\netc.</p>",
      "rawMarkdown": "check /kaggle/input/UBC-OCEAN/test.csv. There are only handful of test images. You don't get access to all test images. Prediction happens behind the scene after submission.\n\nyour output should be a submission.csv file that looks like below. This is mentioned as a part of the overview\n\nSubmission File\nFor each image_id in the test set you must predict a class for the label variable. The file should contain a header and have the following format:\n\nimage_id,label\n2,CC\n5,EC\n6,HGSC\netc.",
      "votes": 1
    },
    {
      "id": 2492884,
      "postDate": "2023-10-23T02:12:17.560Z",
      "content": "<p>Hello, I'm a beginner in Kaggle, I don't know what data to make the submit prediction with? In the test data, only one row was found. Thanks.</p>",
      "rawMarkdown": "Hello, I'm a beginner in Kaggle, I don't know what data to make the submit prediction with? In the test data, only one row was found. Thanks.",
      "votes": 1
    }
  ],
  "comments": [
    {
      "id": 2492894,
      "author_name": "dhinesh",
      "author_url": "",
      "post_date": "2023-10-23T02:22:37.043000",
      "content": "<p>check /kaggle/input/UBC-OCEAN/test.csv. There are only handful of test images. You don't get access to all test images. Prediction happens behind the scene after submission.</p>\n<p>your output should be a submission.csv file that looks like below. This is mentioned as a part of the overview</p>\n<p>Submission File<br>\nFor each image_id in the test set you must predict a class for the label variable. The file should contain a header and have the following format:</p>\n<p>image_id,label<br>\n2,CC<br>\n5,EC<br>\n6,HGSC<br>\netc.</p>",
      "votes": 1,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2492894": "check /kaggle/input/UBC-OCEAN/test.csv. There are only handful of test images. You don't get access to all test images. Prediction happens behind the scene after submission.\n\nyour output should be a submission.csv file that looks like below. This is mentioned as a part of the overview\n\nSubmission File\nFor each image_id in the test set you must predict a class for the label variable. The file should contain a header and have the following format:\n\nimage_id,label\n2,CC\n5,EC\n6,HGSC\netc.",
    "2492884": "Hello, I'm a beginner in Kaggle, I don't know what data to make the submit prediction with? In the test data, only one row was found. Thanks."
  }
}