{
  "id": 155848,
  "title": "calculate QK values source wise",
  "url": "/competitions/prostate-cancer-grade-assessment/discussion/155848",
  "author_name": "Jaideep",
  "post_date": "2020-06-03T08:29:24.557000",
  "votes": -1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hi.. i \nI use below piece of code to get source wise Kappa score. But i get just half of what i get in total set\n<code>cohen_kappa_score(np.round(loss_kar_df[loss_kar_df.data_provider.str.contains('ka')].preds.values) ,loss_kar_df[loss_kar_df.data_provider.str.contains('ka')].isup_grade.values)</code></p>\n\n<p>What mistake i may be making in here.</p>",
  "messages": [
    {
      "id": 872490,
      "postDate": "2020-06-03T08:29:24.557Z",
      "content": "<p>Hi.. i \nI use below piece of code to get source wise Kappa score. But i get just half of what i get in total set\n<code>cohen_kappa_score(np.round(loss_kar_df[loss_kar_df.data_provider.str.contains('ka')].preds.values) ,loss_kar_df[loss_kar_df.data_provider.str.contains('ka')].isup_grade.values)</code></p>\n\n<p>What mistake i may be making in here.</p>",
      "rawMarkdown": "Hi.. i \nI use below piece of code to get source wise Kappa score. But i get just half of what i get in total set\n`cohen_kappa_score(np.round(loss_kar_df[loss_kar_df.data_provider.str.contains('ka')].preds.values) ,loss_kar_df[loss_kar_df.data_provider.str.contains('ka')].isup_grade.values)`\n\nWhat mistake i may be making in here.\n",
      "votes": -1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "872490": "Hi.. i \nI use below piece of code to get source wise Kappa score. But i get just half of what i get in total set\n`cohen_kappa_score(np.round(loss_kar_df[loss_kar_df.data_provider.str.contains('ka')].preds.values) ,loss_kar_df[loss_kar_df.data_provider.str.contains('ka')].isup_grade.values)`\n\nWhat mistake i may be making in here.\n"
  }
}