{
  "id": 70853,
  "title": "Ideas for building classifiers for unbalanced training data",
  "url": "/competitions/quora-insincere-questions-classification/discussion/70853",
  "author_name": "MengYe",
  "post_date": "2018-11-07T22:03:45.799000",
  "votes": 6,
  "comment_count": 0,
  "views": 0,
  "content": "<p>As we all may notice that the training set is unbalanced, over 90% are sincere questions. Below are some ideas I found:</p>\n\n<ul>\n<li><a href=\"https://arxiv.org/pdf/1106.1813.pdf\">https://arxiv.org/pdf/1106.1813.pdf</a></li>\n<li><a href=\"https://www.quora.com/In-classification-how-do-you-handle-an-unbalanced-training-set\">https://www.quora.com/In-classification-how-do-you-handle-an-unbalanced-training-set</a></li>\n<li><a href=\"https://github.com/scikit-learn-contrib/imbalanced-learn\">https://github.com/scikit-learn-contrib/imbalanced-learn</a></li>\n</ul>\n\n<p>I will keep you posted!</p>",
  "messages": [
    {
      "id": 417171,
      "postDate": "2018-11-07T22:03:45.800Z",
      "content": "<p>As we all may notice that the training set is unbalanced, over 90% are sincere questions. Below are some ideas I found:</p>\n\n<ul>\n<li><a href=\"https://arxiv.org/pdf/1106.1813.pdf\">https://arxiv.org/pdf/1106.1813.pdf</a></li>\n<li><a href=\"https://www.quora.com/In-classification-how-do-you-handle-an-unbalanced-training-set\">https://www.quora.com/In-classification-how-do-you-handle-an-unbalanced-training-set</a></li>\n<li><a href=\"https://github.com/scikit-learn-contrib/imbalanced-learn\">https://github.com/scikit-learn-contrib/imbalanced-learn</a></li>\n</ul>\n\n<p>I will keep you posted!</p>",
      "rawMarkdown": "As we all may notice that the training set is unbalanced, over 90% are sincere questions. Below are some ideas I found:\n\n- https://arxiv.org/pdf/1106.1813.pdf\n- https://www.quora.com/In-classification-how-do-you-handle-an-unbalanced-training-set\n- https://github.com/scikit-learn-contrib/imbalanced-learn\n\nI will keep you posted!",
      "votes": 6
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "417171": "As we all may notice that the training set is unbalanced, over 90% are sincere questions. Below are some ideas I found:\n\n- https://arxiv.org/pdf/1106.1813.pdf\n- https://www.quora.com/In-classification-how-do-you-handle-an-unbalanced-training-set\n- https://github.com/scikit-learn-contrib/imbalanced-learn\n\nI will keep you posted!"
  }
}