{
  "id": 483711,
  "title": "Merged Dataset (Training + Testing)",
  "url": "/competitions/csc532-fruits-categorical-classification-2024/discussion/483711",
  "author_name": "KM Kyaw",
  "post_date": "2024-03-13T16:41:54.299000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I merged the training and testing data to create a larger dataset. You can find the merged dataset here <a href=\"url\" target=\"_blank\">https://www.kaggle.com/datasets/kaungmyatkyaw/fruits-merged/</a>. <br> P.S - I haven't tested it yet, so I can't definitively say whether training on the merged dataset with k-fold validation is superior to training with the original datasets.</p>",
  "messages": [
    {
      "id": 2695399,
      "postDate": "2024-03-13T16:41:54.300Z",
      "content": "<p>I merged the training and testing data to create a larger dataset. You can find the merged dataset here <a href=\"url\" target=\"_blank\">https://www.kaggle.com/datasets/kaungmyatkyaw/fruits-merged/</a>. <br> P.S - I haven't tested it yet, so I can't definitively say whether training on the merged dataset with k-fold validation is superior to training with the original datasets.</p>",
      "rawMarkdown": "I merged the training and testing data to create a larger dataset. You can find the merged dataset here [https://www.kaggle.com/datasets/kaungmyatkyaw/fruits-merged/](url). </br> P.S - I haven't tested it yet, so I can't definitively say whether training on the merged dataset with k-fold validation is superior to training with the original datasets."
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2695399": "I merged the training and testing data to create a larger dataset. You can find the merged dataset here [https://www.kaggle.com/datasets/kaungmyatkyaw/fruits-merged/](url). </br> P.S - I haven't tested it yet, so I can't definitively say whether training on the merged dataset with k-fold validation is superior to training with the original datasets."
  }
}