Thank you Kaggle for hosting this awesome competition and congratulations to every one that participated & fought hard in this competition! Especially to Markus F, Thomas Rohwer, and Nanashi for their incredibly helpful contribution in discussions and kernels! I personally would have not made it #16 if it wasnt for their contribution on The Missing Link, \"The Orientation Sensor\" or \"Science vs. Alchemy\" discussion, and Smart Robots. Complete Notebook.
\n\nHere's the kernel for my solution
\n\nTL DR:\n- I link the runs between train and test data with Markus F's kernel\n- Manually correct train runs that have multiple surface\n- I combine the known surface from test with my best submission (LB 0.73)
", "comments": [ { "id": 515817, "author_name": "Prashanth Thangavel", "author_url": "", "post_date": "2019-04-13T07:01:59.960000", "content": "Thanks for sharing the solution. Congrats 👍🏻
", "votes": 0, "replies": [ { "id": 515819, "author_name": "Ilham Firdausi Putra", "author_url": "", "post_date": "2019-04-13T07:09:12.887000", "content": "You're welcome!
", "votes": 1, "replies": [] } ] } ], "comment_count": 2, "messages": [ { "id": 514815, "postDate": "2019-04-12T00:08:05.437Z", "content": "Thank you Kaggle for hosting this awesome competition and congratulations to every one that participated & fought hard in this competition! Especially to Markus F, Thomas Rohwer, and Nanashi for their incredibly helpful contribution in discussions and kernels! I personally would have not made it #16 if it wasnt for their contribution on The Missing Link, \"The Orientation Sensor\" or \"Science vs. Alchemy\" discussion, and Smart Robots. Complete Notebook.
\n\nHere's the kernel for my solution
\n\nTL DR:\n- I link the runs between train and test data with Markus F's kernel\n- Manually correct train runs that have multiple surface\n- I combine the known surface from test with my best submission (LB 0.73)
", "rawMarkdown": "Thank you Kaggle for hosting this awesome competition and congratulations to every one that participated & fought hard in this competition! Especially to [Markus F](https://www.kaggle.com/friedchips), [Thomas Rohwer](https://www.kaggle.com/trohwer64), and [Nanashi](https://www.kaggle.com/jesucristo) for their incredibly helpful contribution in discussions and kernels! I personally would have not made it #16 if it wasnt for their contribution on [The Missing Link](https://www.kaggle.com/friedchips/the-missing-link), [\"The Orientation Sensor\" or \"Science vs. Alchemy\" discussion](https://www.kaggle.com/c/career-con-2019/discussion/87239#latest-512162), and [Smart Robots. Complete Notebook](https://www.kaggle.com/jesucristo/1-smart-robots-complete-notebook-0-73).\n\n[Here's the kernel for my solution](https://www.kaggle.com/ilhamfp31/16-solution-0-76)\n\nTL DR:\n- I link the runs between train and test data with Markus F's kernel\n- Manually correct train runs that have multiple surface\n- I combine the known surface from test with my best submission (LB 0.73)\n\n\n\n\n\n", "votes": 2 }, { "id": 515817, "postDate": "2019-04-13T07:01:59.960Z", "content": "Thanks for sharing the solution. Congrats 👍🏻
", "rawMarkdown": "Thanks for sharing the solution. Congrats 👍🏻", "replies": [ { "id": 515819, "postDate": "2019-04-13T07:09:12.887Z", "content": "You're welcome!
", "rawMarkdown": "You're welcome! ", "votes": 1 } ] } ], "complete": true, "source": "live", "fetched_at": "2026-10-19T15:43:56Z", "competition_id": 13242, "competition_slug": "career-con-2019", "team_id": 2898644, "solution_url": "/competitions/career-con-2019/writeups/ilham-f-putra-16-solution" }