Checklist Cyprus AI Camp 2026 IOAI Selection Camp · Task 1
Binary Classification in Space
Train a binary classifier separating dwarf from ordinary galaxies on 13 numerical features, where the training sample is not representative of the full population.
The task
In the year 2222, a cosmologist has 1,000 observed galaxies described by 13 numerical features with known labels (0 = dwarf, 1 = ordinary), while theory predicts a balance of ordinary and dwarf galaxies that the observations under-represent.
The classifier must work as accurately as possible on the real data (all galaxies); the note says the real data are a thousand times larger and confirm the theoretical distribution.
Abridged by SOTA from the official materials. The official statement has the exact rules, and it wins wherever this summary differs.
At a glance
- You get
train.csv(1,000 galaxies, target column),test.csv(galaxies to label),sample_submission.csv.- You submit
submission.csvwith Id and target.- Scoring
- Accuracy; task points = min(100, (accuracy − 0.55) × 294).
- Rules
- Pre-trained models and additional data are not allowed unless the task says otherwise.
- No outside help; LLM chats, ChatGPT, Copilot and similar tools are prohibited (except Colab inline autocompletion).
- Only the Kaggle website and Google Colab may be used (no local IDEs); online library documentation is allowed.
- One Kaggle account per participant; leaderboard name '[City] Name Surname'.
- Format
- Cyprus AI Camp 2026 (IOAI 2026 selection, in person, 31 Jan–8 Feb 2026): ML Tables 1, released 2 Feb 2026, 09:00–12:00 EET, on Kaggle (two tasks per 3-hour session).