{
  "id": 415379,
  "title": "I still can't submit, has the previous issue been fixed?'",
  "url": "/competitions/predict-student-performance-from-game-play/discussion/415379",
  "author_name": "Lintang Gilang Pratama",
  "post_date": "2023-06-06T09:05:29.948000",
  "votes": 2,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Need Help</p>\n<p>I still can't submit, has the previous issue been fixed?</p>\n<p>This is my code for submissions</p>\n<pre><code> jo_wilder\n = jo_wilder.make_env()\n\n\n = {'-':(,), '-':(,), '-':(,)}\n = \n (test, subm) in iter_test:\n\n     = feature_engineer(test)\n\n     =\n     = df.drop(delete_collumn, axis=)     \n\n     = test.level_group.values[]\n    ,b = limits[grp]        \n     t in range(a,b):\n         = models[f'q_{t}']\n         = clf.predict_proba(df)[,]\n\n         = subm.session_id.str.contains(f'q{t}')\n        .loc[mask,'correct'] = int( p &gt; . )\n\n\n    .predict(subm)\n\n    ('counter')\n    (counter)\n    ('----------------------------')\n     += \n</code></pre>",
  "messages": [
    {
      "id": 2289601,
      "postDate": "2023-06-06T09:05:29.950Z",
      "content": "<p>Need Help</p>\n<p>I still can't submit, has the previous issue been fixed?</p>\n<p>This is my code for submissions</p>\n<pre><code> jo_wilder\n = jo_wilder.make_env()\n\n\n = {'-':(,), '-':(,), '-':(,)}\n = \n (test, subm) in iter_test:\n\n     = feature_engineer(test)\n\n     =\n     = df.drop(delete_collumn, axis=)     \n\n     = test.level_group.values[]\n    ,b = limits[grp]        \n     t in range(a,b):\n         = models[f'q_{t}']\n         = clf.predict_proba(df)[,]\n\n         = subm.session_id.str.contains(f'q{t}')\n        .loc[mask,'correct'] = int( p &gt; . )\n\n\n    .predict(subm)\n\n    ('counter')\n    (counter)\n    ('----------------------------')\n     += \n</code></pre>",
      "rawMarkdown": "Need Help\n\nI still can't submit, has the previous issue been fixed?\n\nThis is my code for submissions\n\n```\nimport jo_wilder\nenv = jo_wilder.make_env()\n\n\nlimits = {'0-4':(1,4), '5-12':(4,14), '13-22':(14,19)}\ncounter = 0\nfor (test, subm) in iter_test:\n    \n    df = feature_engineer(test)\n    \n    delete_collumn = ['level_group']\n    df = df.drop(delete_collumn, axis=1)     \n    \n    grp = test.level_group.values[0]\n    a,b = limits[grp]        \n    for t in range(a,b):\n        clf = models[f'q_{t}']\n        p = clf.predict_proba(df)[0,1]\n#         p = clf.predict(df)\n        mask = subm.session_id.str.contains(f'q{t}')\n        subm.loc[mask,'correct'] = int( p > 0.5 )\n#         subm.loc[mask,'correct'] = p\n\n    env.predict(subm)\n        \n    print('counter')\n    print(counter)\n    print('----------------------------')\n    counter += 1\n\n```",
      "votes": 2
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2289601": "Need Help\n\nI still can't submit, has the previous issue been fixed?\n\nThis is my code for submissions\n\n```\nimport jo_wilder\nenv = jo_wilder.make_env()\n\n\nlimits = {'0-4':(1,4), '5-12':(4,14), '13-22':(14,19)}\ncounter = 0\nfor (test, subm) in iter_test:\n    \n    df = feature_engineer(test)\n    \n    delete_collumn = ['level_group']\n    df = df.drop(delete_collumn, axis=1)     \n    \n    grp = test.level_group.values[0]\n    a,b = limits[grp]        \n    for t in range(a,b):\n        clf = models[f'q_{t}']\n        p = clf.predict_proba(df)[0,1]\n#         p = clf.predict(df)\n        mask = subm.session_id.str.contains(f'q{t}')\n        subm.loc[mask,'correct'] = int( p > 0.5 )\n#         subm.loc[mask,'correct'] = p\n\n    env.predict(subm)\n        \n    print('counter')\n    print(counter)\n    print('----------------------------')\n    counter += 1\n\n```"
  }
}