{
  "id": 583004,
  "title": "Some weird sequences",
  "url": "/competitions/cmi-detect-behavior-with-sensor-data/discussion/583004",
  "author_name": "",
  "post_date": "2025-06-04T07:52:50.847815900Z",
  "votes": 65,
  "comment_count": 1,
  "views": 0,
  "content": "<p>SUBJ_011323/SEQ_000389 and other sequences of this subject have all missing values in their thm and tof sensors. Half of the test set will be like this so be prepared.</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fc16f6727ca6af504921d3900fd6c0381%2FSEQ_000389.png?generation=1749022787254186&amp;alt=media\" alt=\"missing_1\"></p>\n<p>SUBJ_016552/SEQ_001694 have missing thm_5 and tof_5 sensors (all 64 of them at the same time). This could be an example of partial sensor failure. In some cases missing values start at the middle of a sequence, but most of the time all of their values are missing for a single sensor or couple sensors. There are 8 more subjects that have partial sensor failure in training set.</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2F84db154f5ad8dc3edf4289731aae184f%2FSEQ_001694.png?generation=1749022892011020&amp;alt=media\" alt=\"partially_missing_1\"></p>\n<p>SUBJ_030676/SEQ_011975 doesn't have Gesture phase. The entire sequence is Transition which could be a labeling error.</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2F0a8fa31d20040e85077bae5b43d81d47%2FSEQ_011975.png?generation=1749023171961609&amp;alt=media\" alt=\"onlytransition\"></p>\n<p>SUBJ_040282/SEQ_032114 has a very small Transition phase (3 timesteps).</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fe28eea979e245df929fbc54a13ac8890%2FSEQ_032114.png?generation=1749023305291150&amp;alt=media\" alt=\"smalltransition\"></p>\n<p>SUBJ_034631/SEQ_009199 is the shortest sequence with 29 timesteps and SUBJ_040733/SEQ_015261 is the longest sequence with 700 timesteps. I'm not sure why the longest one is recorded so early.</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fc4405fbee3e6bb32788614b7fc1fdf19%2FSEQ_009199.png?generation=1749023670090857&amp;alt=media\" alt=\"shortest\"></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fdfb45cc09d3a12f8522ac8f33b1371e3%2FSEQ_015261.png?generation=1749023685411017&amp;alt=media\" alt=\"longest\"></p>",
  "messages": [
    {
      "id": "3216870",
      "postDate": "06/04/2025 07:52:50",
      "content": "<p>SUBJ_011323/SEQ_000389 and other sequences of this subject have all missing values in their thm and tof sensors. Half of the test set will be like this so be prepared.</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fc16f6727ca6af504921d3900fd6c0381%2FSEQ_000389.png?generation=1749022787254186&amp;alt=media\" alt=\"missing_1\"></p>\n<p>SUBJ_016552/SEQ_001694 have missing thm_5 and tof_5 sensors (all 64 of them at the same time). This could be an example of partial sensor failure. In some cases missing values start at the middle of a sequence, but most of the time all of their values are missing for a single sensor or couple sensors. There are 8 more subjects that have partial sensor failure in training set.</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2F84db154f5ad8dc3edf4289731aae184f%2FSEQ_001694.png?generation=1749022892011020&amp;alt=media\" alt=\"partially_missing_1\"></p>\n<p>SUBJ_030676/SEQ_011975 doesn't have Gesture phase. The entire sequence is Transition which could be a labeling error.</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2F0a8fa31d20040e85077bae5b43d81d47%2FSEQ_011975.png?generation=1749023171961609&amp;alt=media\" alt=\"onlytransition\"></p>\n<p>SUBJ_040282/SEQ_032114 has a very small Transition phase (3 timesteps).</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fe28eea979e245df929fbc54a13ac8890%2FSEQ_032114.png?generation=1749023305291150&amp;alt=media\" alt=\"smalltransition\"></p>\n<p>SUBJ_034631/SEQ_009199 is the shortest sequence with 29 timesteps and SUBJ_040733/SEQ_015261 is the longest sequence with 700 timesteps. I'm not sure why the longest one is recorded so early.</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fc4405fbee3e6bb32788614b7fc1fdf19%2FSEQ_009199.png?generation=1749023670090857&amp;alt=media\" alt=\"shortest\"></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fdfb45cc09d3a12f8522ac8f33b1371e3%2FSEQ_015261.png?generation=1749023685411017&amp;alt=media\" alt=\"longest\"></p>",
      "rawMarkdown": "SUBJ_011323/SEQ_000389 and other sequences of this subject have all missing values in their thm and tof sensors. Half of the test set will be like this so be prepared.\n\n![missing_1](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fc16f6727ca6af504921d3900fd6c0381%2FSEQ_000389.png?generation=1749022787254186&alt=media)\n\nSUBJ_016552/SEQ_001694 have missing thm_5 and tof_5 sensors (all 64 of them at the same time). This could be an example of partial sensor failure. In some cases missing values start at the middle of a sequence, but most of the time all of their values are missing for a single sensor or couple sensors. There are 8 more subjects that have partial sensor failure in training set.\n\n![partially_missing_1](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2F84db154f5ad8dc3edf4289731aae184f%2FSEQ_001694.png?generation=1749022892011020&alt=media)\n\nSUBJ_030676/SEQ_011975 doesn't have Gesture phase. The entire sequence is Transition which could be a labeling error.\n\n![onlytransition](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2F0a8fa31d20040e85077bae5b43d81d47%2FSEQ_011975.png?generation=1749023171961609&alt=media)\n\nSUBJ_040282/SEQ_032114 has a very small Transition phase (3 timesteps).\n\n![smalltransition](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fe28eea979e245df929fbc54a13ac8890%2FSEQ_032114.png?generation=1749023305291150&alt=media)\n\nSUBJ_034631/SEQ_009199 is the shortest sequence with 29 timesteps and SUBJ_040733/SEQ_015261 is the longest sequence with 700 timesteps. I'm not sure why the longest one is recorded so early.\n\n![shortest](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fc4405fbee3e6bb32788614b7fc1fdf19%2FSEQ_009199.png?generation=1749023670090857&alt=media)\n\n![longest](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fdfb45cc09d3a12f8522ac8f33b1371e3%2FSEQ_015261.png?generation=1749023685411017&alt=media)",
      "votes": null
    },
    {
      "id": "3217407",
      "postDate": "06/05/2025 01:57:21",
      "content": "<p><a href=\"https://www.kaggle.com/gunesevitan\" target=\"_blank\">@gunesevitan</a> , Thanks for the reminder, it is useful information</p>",
      "rawMarkdown": "gunesevitan , Thanks for the reminder, it is useful information",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3217407,
      "author_name": "christina0626",
      "author_url": "",
      "post_date": "06/05/2025 01:57:21",
      "content": "<p><a href=\"https://www.kaggle.com/gunesevitan\" target=\"_blank\">@gunesevitan</a> , Thanks for the reminder, it is useful information</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3216870": "SUBJ_011323/SEQ_000389 and other sequences of this subject have all missing values in their thm and tof sensors. Half of the test set will be like this so be prepared.\n\n![missing_1](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fc16f6727ca6af504921d3900fd6c0381%2FSEQ_000389.png?generation=1749022787254186&alt=media)\n\nSUBJ_016552/SEQ_001694 have missing thm_5 and tof_5 sensors (all 64 of them at the same time). This could be an example of partial sensor failure. In some cases missing values start at the middle of a sequence, but most of the time all of their values are missing for a single sensor or couple sensors. There are 8 more subjects that have partial sensor failure in training set.\n\n![partially_missing_1](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2F84db154f5ad8dc3edf4289731aae184f%2FSEQ_001694.png?generation=1749022892011020&alt=media)\n\nSUBJ_030676/SEQ_011975 doesn't have Gesture phase. The entire sequence is Transition which could be a labeling error.\n\n![onlytransition](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2F0a8fa31d20040e85077bae5b43d81d47%2FSEQ_011975.png?generation=1749023171961609&alt=media)\n\nSUBJ_040282/SEQ_032114 has a very small Transition phase (3 timesteps).\n\n![smalltransition](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fe28eea979e245df929fbc54a13ac8890%2FSEQ_032114.png?generation=1749023305291150&alt=media)\n\nSUBJ_034631/SEQ_009199 is the shortest sequence with 29 timesteps and SUBJ_040733/SEQ_015261 is the longest sequence with 700 timesteps. I'm not sure why the longest one is recorded so early.\n\n![shortest](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fc4405fbee3e6bb32788614b7fc1fdf19%2FSEQ_009199.png?generation=1749023670090857&alt=media)\n\n![longest](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2706866%2Fdfb45cc09d3a12f8522ac8f33b1371e3%2FSEQ_015261.png?generation=1749023685411017&alt=media)",
    "3217407": "gunesevitan , Thanks for the reminder, it is useful information"
  },
  "source": "meta"
}