{
  "id": 444968,
  "title": "GradientBoostingClassifier",
  "url": "/competitions/digit-recognizer/discussion/444968",
  "author_name": "Sameer Rather",
  "post_date": "2023-10-04T14:14:03.103000",
  "votes": 1,
  "comment_count": 1,
  "views": null,
  "content": "<p>Hi,<br>\ni tried to predict MNIST dataset using GradientBoostingClassifier model,but it didn't worked it's still running.Can anyone tell me the reason?</p>",
  "messages": [
    {
      "id": 2467395,
      "postDate": "2023-10-04T14:14:03.103Z",
      "content": "<p>Hi,<br>\ni tried to predict MNIST dataset using GradientBoostingClassifier model,but it didn't worked it's still running.Can anyone tell me the reason?</p>",
      "rawMarkdown": "Hi,\ni tried to predict MNIST dataset using GradientBoostingClassifier model,but it didn't worked it's still running.Can anyone tell me the reason?",
      "votes": 1
    },
    {
      "id": 2467508,
      "postDate": "2023-10-04T16:04:14.883Z",
      "content": "<p>It's possible that the GradientBoostingClassifier is not the ideal choice for MNIST digit classification due to its complexity and computational demands. Consider using simpler models like Random Forest or a deep learning approach with Convolutional Neural Networks (CNNs) for better results. If this advice helps, please consider upvoting for visibility and to assist others facing similar challenges. Thank you!</p>",
      "rawMarkdown": "It's possible that the GradientBoostingClassifier is not the ideal choice for MNIST digit classification due to its complexity and computational demands. Consider using simpler models like Random Forest or a deep learning approach with Convolutional Neural Networks (CNNs) for better results. If this advice helps, please consider upvoting for visibility and to assist others facing similar challenges. Thank you!"
    }
  ],
  "comments": [
    {
      "id": 2467508,
      "author_name": "Bhavesh Padharia",
      "author_url": "",
      "post_date": "2023-10-04T16:04:14.883000",
      "content": "<p>It's possible that the GradientBoostingClassifier is not the ideal choice for MNIST digit classification due to its complexity and computational demands. Consider using simpler models like Random Forest or a deep learning approach with Convolutional Neural Networks (CNNs) for better results. If this advice helps, please consider upvoting for visibility and to assist others facing similar challenges. Thank you!</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2467395": "Hi,\ni tried to predict MNIST dataset using GradientBoostingClassifier model,but it didn't worked it's still running.Can anyone tell me the reason?",
    "2467508": "It's possible that the GradientBoostingClassifier is not the ideal choice for MNIST digit classification due to its complexity and computational demands. Consider using simpler models like Random Forest or a deep learning approach with Convolutional Neural Networks (CNNs) for better results. If this advice helps, please consider upvoting for visibility and to assist others facing similar challenges. Thank you!"
  }
}