{
  "id": 481115,
  "title": "WaveClassifier + EfficientNet Combined Model using FC layer (PyTorch) LB - 0.43",
  "url": "/competitions/hms-harmful-brain-activity-classification/discussion/481115",
  "author_name": "",
  "post_date": "2024-03-02T06:48:31.177924600Z",
  "votes": 8,
  "comment_count": 1,
  "views": 0,
  "content": "<p>notebook link -- <a href=\"https://www.kaggle.com/code/anmolgarg1998/hms-combined-eeg-spectrogram\" target=\"_blank\">https://www.kaggle.com/code/anmolgarg1998/hms-combined-eeg-spectrogram</a><br>\nIn the notebook I took both Spectrogram and EEG level data and passed them through EfficientNet and Waveclassifier respectively and concatenated the output embedding and fed it to FC layer for classification. <br>\nLB Score - 0.43 With 4 splits Ensemble <br>\n*Pytorch</p>",
  "messages": [
    {
      "id": "2677408",
      "postDate": "03/02/2024 06:48:31",
      "content": "<p>notebook link -- <a href=\"https://www.kaggle.com/code/anmolgarg1998/hms-combined-eeg-spectrogram\" target=\"_blank\">https://www.kaggle.com/code/anmolgarg1998/hms-combined-eeg-spectrogram</a><br>\nIn the notebook I took both Spectrogram and EEG level data and passed them through EfficientNet and Waveclassifier respectively and concatenated the output embedding and fed it to FC layer for classification. <br>\nLB Score - 0.43 With 4 splits Ensemble <br>\n*Pytorch</p>",
      "rawMarkdown": "notebook link -- https://www.kaggle.com/code/anmolgarg1998/hms-combined-eeg-spectrogram\nIn the notebook I took both Spectrogram and EEG level data and passed them through EfficientNet and Waveclassifier respectively and concatenated the output embedding and fed it to FC layer for classification. \nLB Score - 0.43 With 4 splits Ensemble \n*Pytorch",
      "votes": null
    },
    {
      "id": "2702110",
      "postDate": "03/17/2024 11:51:25",
      "content": "<p>thanks for sharing🥳，I'm planning to boost my lb from model adjusting</p>",
      "rawMarkdown": "thanks for sharing🥳，I'm planning to boost my lb from model adjusting",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2702110,
      "author_name": "roger92",
      "author_url": "",
      "post_date": "03/17/2024 11:51:25",
      "content": "<p>thanks for sharing🥳，I'm planning to boost my lb from model adjusting</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2677408": "notebook link -- https://www.kaggle.com/code/anmolgarg1998/hms-combined-eeg-spectrogram\nIn the notebook I took both Spectrogram and EEG level data and passed them through EfficientNet and Waveclassifier respectively and concatenated the output embedding and fed it to FC layer for classification. \nLB Score - 0.43 With 4 splits Ensemble \n*Pytorch",
    "2702110": "thanks for sharing🥳，I'm planning to boost my lb from model adjusting"
  },
  "source": "meta"
}